Reliable Electricity Supply Research Articles

Review of Concepts and Determinants of Grid Electricity Reliability

The reliability of the electricity supply is important since any interruption to the supply has direct and indirect consequences for its users. A reliable electricity supply requires a reliable electrical grid system to transmit and distribute the power from the generating plants to the consumers. This study reviewed the literature to find out how the reliability concept has been understood with a special focus on grid electricity reliability, what factors influence grid electricity reliability, what measures have been used to measure grid electricity reliability, which theories and methodologies have been applied to study grid electricity reliability and what are the likely research gaps that require future address. This review found that the literature documents four categories of factors that influence grid electricity reliability, and these are environmental, security, organizational and technical. The biggest influencers of grid electricity reliability were the technical-related factors followed by the environmental-related factors. In addition, we found that sixty studies focused on one subsystem, eleven on two subsystems while seven studies considered three subsystems. Most studies were found to address the distribution of subsystem reliability. As per the methodology adopted, this review found that eleven studies used a qualitative approach, forty-five studies used a quantitative approach, while eleven studies used a case study approach to study the concept of grid electricity reliability. In addition, we found that thirty-seven studies used the duration and frequency of power outages to measure grid electricity reliability.

Equity‐aware power distribution system restoration

AbstractThe efficient, reliable, and resilient supply of electricity has become essential for social and economic well‐being of the modern society. However, more frequent occurrence of extreme weather events has exposed inequity in the planning and operation practices of power distribution systems, evidenced in higher vulnerability and longer power interruptions for some parts of the grid as compared to others. This paper proposes an equity‐aware power distribution system restoration model in an effort to ensure a more equitable yet resilient power distribution operation after outages. To this end, the proposed equity‐aware distribution system restoration model balances the efficiency of the restoration operation and the equitable allocation of distributed energy resources among affected customers after an outage, while prioritizing the critical infrastructure (e.g. hospitals). The results demonstrate the effectiveness of the proposed framework to ensure a more equitable restoration process as measured by the proposed fairness and restoration performance indices.

Recycling of Electrical Cables-Current Challenges and Future Prospects.

Civilization and technical progress are not possible without energy. Dynamic economic growth translates into a systematic increase in demand for electricity. Ensuring the continuity and reliability of electricity supplies is one of the most important aspects of energy security in highly developed countries. Growing energy consumption results not only in the need to build new power plants but also in the need to expand and increase transmission capacity. Therefore, large quantities of electric cables are produced all over the world, and after some time, they largely become waste. Recycling of electric cables focuses on the recovery of metals, mainly copper and aluminum, while polymer insulation is often considered waste and ends up in landfills. Currently, more and more stringent regulations are being introduced, mainly environmental ones, which require maximizing the reduction in waste. This article provides a literature review on cable recycling, presenting the advantages and disadvantages of various recycling methods, including mechanical and material recycling. It has been found that currently, there are very large possibilities for recycling cables, and intensive scientific work is being carried out on their development, which is consistent with global climate policy.

Simulasi Analisis Kualitas Daya Menggunakan Logika Fuzzy Untuk Meningkatkan Efisiensi Sistem Tenaga Listrik

This study aims to simulate power quality analysis using fuzzy logic to increase the efficiency of the power system. Poor power quality can cause disturbances in the electric power system and reduce the efficiency of the energy used. Therefore, improving power quality is one of the main focuses in the electric power industry.The fuzzy logic method is used in this study to evaluate power quality based on relevant parameters, such as voltage, current, frequency and harmonics. Fuzzy logic is able to overcome the uncertainty and complexity of data related to electric power systems, and provide more adaptive and intelligent solutions. In this study, simulations were carried out using special software that implements fuzzy logic to analyze power quality. The input data obtained from the electric power system is used to build a fuzzy logic model. Then, the simulation results are used to identify existing power quality problems and propose appropriate improvement strategies.The simulation results show that the use of fuzzy logic can significantly increase the efficiency of the power system by minimizing disturbances and optimizing power quality. In addition, fuzzy logic also provides the ability to predict the future conditions of the electric power system and take the necessary precautions. This research has important practical implications in the field of power systems. By using fuzzy logic in power quality analysis, power companies and grid operators can optimize power system operations, reduce power losses, improve energy efficiency, and ensure reliable electricity supply to consumers.

Key technologies of active distribution networks control

Active Distribution Networks (ADNs) are modern and intelligent power distribution systems that integrate renewable energy sources and advanced control technologies to provide reliable, secure, and efficient electricity supply. The traditional power distribution networks are designed to deliver electricity in a one-way flow from the transmission system to the customers. In contrast, ADN enables two-way power flow between the distribution network and customers, allowing them to become active participants in the electricity system. The key technology behind ADN includes advanced metering infrastructure (AMI), Distribution Automation (DA), and energy storage systems (ESS). AMI provides real-time data on electricity consumption, generation, and distribution, enabling efficient load management and demand response. Other key technologies of ADN include renewable energy sources such as solar photovoltaic (PV), Wind turbines and small-scale hydroelectricity. These sources are connected to the distribution network through power electronic interfaces that convert the DC output of the renewable sources into AC for distribution. Smart grid technologies such as microgrids, virtual power plants, and energy management systems are also integrated into ADN to improve grid stability and resilience. ADNs have the potential to transform the electricity system by enabling more efficient, sustainable, and reliable energy systems that can better serve the needs of consumers and society. Thus, ADN is expected to become a critical technology in achieving a cleaner and more sustainable energy future.

The effect of electricity reliability on the sustainability of SMEs in Fako Division of Cameroon

Purpose: To investigate the effects of the reliability of electricity supply on the sustainability of SMEs in Cameroon. Research Methodology: This study investigates the effects of the reliability of electricity supply on the sustainability of SMEs in Cameroon. The study used a quantitative approach with the philosophical underpinnings of objectivist ontology and positivist epistemology. Primary data were obtained through closed-ended questionnaires that were responded to by 54 purposively sampled participants in the Fako division. The data were analyzed by Structural Equation Modeling (SEM) using SPSS 23 and SPSS Amos 24 software. Results: The study revealed that sporadic electricity supply interruptions, chronic electricity supply interruptions, and momentary electricity supply interruptions have no significant positive impact on the sustainability of SMEs in the Fako Division of the Southwest Region of Cameroon. Limitations: This study had a limitation in methodology, as it used a quantitative approach only. A better understanding of this study’s phenomenon can be achieved by adopting a mixed research method, where the qualitative aspect will provide a deeper understanding of the effects of other variables that affect SME sustainability. Contribution: Based on the results of this study, business managers will come to the understanding that the sustainability of their businesses is not dependent on the reliability of the electricity supply. This means that other variables responsible for the sustainability of businesses can be studied qualitatively.

Hybrid renewable energy systems: the value of storage as a function of PV-wind variability

As shares of variable renewable energy (VRE) on the electric grid increase, sources of grid flexibility will become increasingly important for maintaining the reliability and affordability of electricity supply. Lithium-ion battery energy storage has been identified as an important and cost-effective source of flexibility, both by itself and when coupled with VRE technologies like solar photovoltaics (PV) and wind. In this study, we explored the current and future value of utility-scale hybrid energy systems comprising PV, wind, and lithium-ion battery technologies (PV-wind-battery systems). Using a price-taker model with simulated hourly energy and capacity prices, we simulated the revenue-maximizing dispatch of a range of PV-wind-battery configurations across Texas, from the present through 2050. Holding PV capacity and point-of-interconnection capacity constant, we modeled configurations with varying wind-to-PV capacity ratios and battery-to-PV capacity ratios. We found that coupling PV, wind, and battery technologies allows for more effective utilization of interconnection capacity by increasing capacity factors to 60%–80%+ and capacity credits to close to 100%, depending on battery capacity. We also compared the energy and capacity values of PV-wind and PV-wind-battery systems to the corresponding stability coefficient metric, which describes the location-and configuration-specific complementarity of PV and wind resources. Our results show that the stability coefficient effectively predicts the configuration-location combinations in which a smaller battery component can provide comparable economic performance in a PV-wind-battery system (compared to a PV-battery system). These PV-wind-battery hybrids can help integrate more VRE by providing smoother, more predictable generation and greater flexibility.

DIRECTIONS OF REALIZATION OF THE ORGANIZATIONAL AND ECONOMIC MECHANISM OF FORMATION OF THE ENERGY SECURITY SYSTEM OF UKRAINE: THE ELECTRIC POWER ASPECT

The process of reforming the electricity market has been underway for a long time. The European market liberalization guidelines encourage changes in Ukraine. However, internal contradictions of the domestic market slow down these changes. The basis for these changes is the Law of Ukraine, "On the Electricity Market," adopted in 2017, which lays the foundation for deep reform. This is manifested in the following: all enterprises (producers and suppliers) in the electricity market must operate on separate, self-organized principles; openness and transparency, and free access to the use of networks of all business entities based on public contracts; the law provides for and creates several electricity markets: the intraday market, the balancing market, and the ancillary services market. Each has a separate operating procedure, electricity purchase and sale system, pricing, and the establishment of sales volume standards and quotas. The purpose of the article is to determine the priority areas for implementing the organizational and economic mechanism for the formation of Ukraine's energy security system in the context of the electricity sector. The situation in the electricity market requires significant investments (about USD 25 billion over ten years) to ensure the reliability and continuity of electricity supply. Reform of the electricity market should be based on the following principles: efficiency and transparency of the National Commission for State Regulation of Energy and Public Utilities; separation of electricity generation from distribution; certification of the transmission system operator; updating system, technical, software and information software; optimization of measures and reform of the retail market to meet the needs of consumers; economic justification of pricing to meet the needs and capabilities of consumers, including changes in the cross-subsidization mechanism. Implementing the planned goals and priority areas will help reduce risks in reforming the electricity market, intensify the competitive basis between market participants (entities), create conditions for improving service quality, and limit negative factors' impact on the environment with an incentive pricing policy. The structured structure of the organizational and economic mechanism will allow us to systematize the understanding of the stages of the electricity market functioning. Thus, a unified system of interrelations between the goals of reform, the search for reform methods, sources of financial support, subject and object positions, principles, and methods of their regulation, which directly or indirectly affect the efficiency of the electricity market, will be formed.

The impact of an improvement in the quality and reliability of rural residential electricity supply on clean cooking fuel adoption: Evidence from six energy poor Indian states

We present the first evidence of the causal effect of the quality and reliability of residential electricity supply on clean cooking fuel adoption and use in rural areas of six energy poor Indian states using household-level panel data from 2015 and 2018. Quality and reliability of electricity are measured using the number of hours of electricity supply in a day, the number of days of low voltage and the number of complete power outage days experienced in a month. We used the village-level variation in the coverage of a nationwide government program, (i.e., the Deen Dayal Upadhyaya Gram Jyoti Yojana (DDUGJY)), that aimed to improve the quality and reliability of rural residential electricity supply, as an instrument. Our results show a positive effect of an improvement in the quality and reliability of electricity on liquefied petroleum gas adoption and use; and disadoption of traditional cooking fuel. The effects were significant for both poor and non-poor, and lower-caste households’ transition to clean cooking fuel. We find that the improvements in economic wellbeing, adoption of time-saving technologies, information access, and energy-efficient technology adoption played important mediating roles. These findings, for the first time, reveal the complementary role of electricity quality and reliability improvement with the adoption of clean energy sources, and thus supporting the achievement of important developmental outcomes. The findings thus underscore the need to invest in seamless and reliable electricity as a pathway to achieve the target of universal access to clean cooking fuels by 2030.

The impact of power outages on households in Zambia

As global average temperatures rise, so does the frequency and intensity of El Niño-induced droughts, which in turn threaten the reliability of hydropower. 1.4 billion people live in countries where hydropower constitutes more than a quarter of the electricity production and which have experienced El Niño droughts, meaning many more power outages can be expected around the world. Little research has been conducted on the impact of power outages on mental health. This study takes Zambia as its case study to examine the impact that El Niño droughts have had on the lives of householders connected to a highly hydropower-dependant electricity grid, and includes the impact it has had on their physical and self-reported mental health. Using 54 online responses to a survey, we found that the greatest impacts of outages spoiled food, compromised entertainment, compromised ability to work and limitation in cooking options. More than a fifth of respondents reported experiencing self-reported depression to a major degree or all of the time due to power outages, with individuals writing their own responses that they felt debilitated, experienced reduced communication and reduced activities, and stress. Using Bayesian inference, we found that changes in sleeping patterns arising from power outages was a statistically significant predictor of self-reported depression. 63% of surveyed households were willing to pay approximately USD 0.10/kWh as of the end of 2019, about double the tariff that they did, to ensure reliable electricity supply. Household income was a statistically significant predictor of willingness to pay more.

Dynamic optimization and thermo-economic assessment of a solar parabolic trough combined heat and power system with thermal storage: A case study

The solar-driven combined heat and power system provides an efficient and green approach for the energy demand in remote areas. In this study, a two-tank molten salt thermal storage system is coupled with solar parabolic trough collectors and feeds an organic Rankine unit that produces electricity and heating. Specially, the organic Rankine unit can operate in off-design conditions following the end-user electricity load demand. The configuration of the complete system is parametrically investigated and dynamically optimized aiming to identify the operating conditions for which the net present value is maximized. The optimal arrangement for Lhasa is found to be a 1175-m2 solar parabolic trough field and two 50-m3 molten salt storage tanks. The monthly results show that this optimal case is able to run uninterruptedly the whole month in November and December with a 100% monthly electricity supply reliability rate. Furthermore, the application of this system for typical cities in western China is optimized and compared. The best economical location for the apparatus is in Ejinaqi, with a maximum net present value of 1471 thousand dollars, of which carbon reduction benefit account for 8.8%, and the payback period is only 5.4 years. Moreover, the yearly energy efficiency, exergy efficiency, electricity supply reliability rate and solar abandonment rate for optimal case of Ejinaqi are 55.0%, 20.2%, 93.9% and 25.4%, respectively. The study demonstrates that the proposed apparatus can be a promising option to provide energy for remote areas faced with poorly power grid.

A game theoretic approach for time-of-use pricing with considering renewable portfolio standard effects and investment in energy storage technologies under government interventions

To remain in the competitive market, power companies, in addition to price competition, need to develop technologies to improve the reliability of electricity supply and achieve sustainable development goals. This paper explores energy pricing in an electricity supply chain consisting of renewable and conventional electricity producers and a distribution grid, focusing on improving supply reliability and achieving sustainable development goals. The study employs game theory to model government intervention in the electricity market through subsidization and Renewable Portfolio Standard (RPS) strategies. Three investment scenarios for improving reliability are considered, with producers determining wholesale prices and the distribution grid setting prices for low-and-high-load periods. The renewable producer and the distribution grid manage the reliability level by investing in energy storage technologies in the first and second scenarios, respectively, while it is ignored in the third scenario. The results reveal that optimal subsidy and RPS rates depend on the government's priorities regarding environmental effects, government revenue, and social welfare. Scenario two, is found to be the most favorable for improving supply reliability and achieving social welfare and environmental goals. Additionally, prioritizing social welfare maximization policy is found to be advantageous for producers' profit, the distribution grid, and supply reliability improvement.

Risk Analysis and Innovative Product Management in Rosatom State Corporation: A Case Study of a Green Project Floating Nuclear Thermal Power Plant “Akademik Lomonosov”

Risk management plays a crucial role in ensuring the dynamic development and energy security of the national economy in the nuclear sector.This study focuses on the application of the smart card method for evaluating risks in the energy sector, using the example of a carbon-free energy technology development project at Rosatom State Corporation.The subject of the research is the Floating nuclear thermal power plant “Akademik Lomonosov”, which is designed to provide reliable electricity and heat supply to consumers in the Far North and Far East regions. This project is one of the key directions for developing the new business block in the State Corporation Rosatom.The aim of this study is to evaluate the risk management of innovative projects in the green nuclear sector, with a focus on the Floating nuclear thermal power plant “Akademik Lomonosov”.The authors used the methods of comparative analysis, system analysis, the analysis of statistical data, financial reports, and official documents.The results show that risk management is crucial for ensuring the dynamic innovative development of nuclear energy in the near-, medium- and long-term, and the smart card can be a beneficial tool in this regard.The key conclusion of the study is that the green project Floating nuclear thermal power plant “Akademik Lomonosov” has been successfully prepared for operation, considering most of the key risks. The risk evaluation conducted using the smart card method has demonstrated its effectiveness in identifying and managing risks associated with the project. The authors emphasize the importance of integrating smart cards into risk assessment practices in the nuclear industry and highlight their potential for use in future projects.

Smart power management strategy controlling domestic solar solutions in sub-Saharan countries

AbstractLimitations such as maximum power consumption during peak hours, scheduled load shedding and unplanned brownouts are problems of weak and stressed electricity grids. To compensate for such shortage of energy, the usage of renewable energies is a solution delivering increased reliability for consumers. Although sub-Saharan African countries suffer from unreliable grids, they benefit from large amounts of solar radiation throughout the year. Therefore, domestic solar systems including photovoltaic panels, battery storage and solar water heating are attractive solutions to supply affordable and reliable energy and hot water for consumers. However, to deliver the best management of the electrical loads in the face of unplanned brownouts, a smart power management strategy is required. Consequently, the proposed strategy relies on the predicted values of power generation and power consumption to autonomously control the system in both on-grid and off-grid modes. This method is evaluated using a case study relying on the measured electrical load and the hot water consumption data of a low-income house in Botswana. Results show that in addition to delivering sustainable support for the utility grid by decreasing the power consumption in peak hours, the proposed method reduces annual consumer electricity bill by 64% and increases the reliability of electricity supply from 95.5 to 99.5%. Thereby providing affordable and reliable solution to unreliable power supply due to stressed grids.

Design and Economic Analysis of On-Grid Solar Rooftop PV System Using PVsyst Software

Most businesses heavily rely on a consistent and reliable supply of electricity to sustain their operations. Unfortunately, the utility grid in Ghazni suffers from poor energy security, and high electricity costs. As a result, many of these establishments have resorted to using diesel generators to meet their energy demands. This study focuses on the design and economic analysis of an on-grid solar rooftop photovoltaic (PV) system, utilizing PVsyst software. The research findings indicate that the designed on-grid solar rooftop PV system has a specific solar PV capacity of 10 kilowatts, capable of generating an estimated annual energy output of 19323 kilowatt-hours. The economic analysis reveals that the system has the initial capital cost required to establish this Solar system amounts to US$ 5213 a payback period of 6.3 years and a projected ROI of 457 %.

Comparison of mono and bifacial modules for building integration and electric vehicle charging: A case study in Sweden

Future energy systems have a major difficulty in ensuring a reliable supply of electricity without affecting the environment, and numerous innovative renewables-based solutions are being introduced to meet this issue. This paper proposes a building photovoltaic (PV) system design for residential and electric vehicle (EV) charging demand and evaluates the techno-economic and environmental performance of the system in Orebro, Sweden, as it aims to become net zero carbon economy by 2045. Literature review shows that, although many studies exist, most of them did not fully consider the techno-economic and environmental aspects of PV systems for residential and EV charging loads in the chosen location. Two different PV technologies monofacial and bifacial monocrystalline panel in three different roof slopes 15°,30° and 45° has been analyzed to find the optimized system that can meet a typical house's annual energy demand. Economic indicators such as cumulative cash flow, levelized cost of electricity (LCOE), payback period and cost of EV charging have been evaluated for the PV system without discount and with discount which affects the system's profitability. PVSyst software was used to simulate the system for energy generation. Results have shown that the bifacial PV system performed better in energy generation, which is approximately 10% higher than the monofacial panel. However, in terms of economics, Case 6, a bifacial PV system with a roof angle of 45°, shows the lowest payback period of 7.3 years. In contrast, monofacial PV system with roof slope of 30° showed LCOE of 0.8988 Swedish Krona per kilowatt hour (SEK/kWh), EV charging cost of 0.1471 Swedish Krona per kilometer (SEK/km). Environmental parameters such as greenhouse gases (GHG) reduction have been analyzed. Results showed that GHG savings due to EV was higher than PV plant as Sweden's grid emission factor is very low due to less dependency on fossil fuels. The significance of this study will enable us to understand the performance of PV systems in Swedish aspect and methods can be extended to other countries for meeting location-specific energy demand.

A method for recognising the type of fault in oil-filled equipment based on the gas percentage

One of the main tasks of the electricity sector is to ensure a reliable supply of electricity. Transformers play a key role in this, as their operation determines the reliability of the energy infrastructure. One of the factors that is common to all countries and affects the reliability of equipment is the ageing of this equipment as a result of various processes, including faults developing inside this equipment. One of the most effective methods of diagnosing high-voltage oil-filled equipment is the dissolved gas analysis, which allows for the recognition of various types of faults. Using different diagnostic criteria (gas ratios, percentage of gases, and gas to gas ratios with maximum content), different types of faults can be identified. One of the most commonly used diagnostic criteria is the percentage of gases. However, the reliability of fault detection by different methods for the same data varies considerably. The greatest difficulty arises when recognising combined faults. Therefore, the issue of developing a method for recognising the type of fault based on the results of the analysis of gases dissolved in oil using the percentage of gases as a diagnostic criterion is relevant and of practical importance. The article proposes an analytical method for recognising the type of fault in high-voltage oil-filled equipment based on the percentage of five gases in the oil. The article considers the recognition of different types of faults, for which the gases with the maximum content are hydrogen, methane, ethane, ethylene and acetylene. The values of the percentage of gases characteristic of a particular type of fault are given in the form of tables, which show the ranges (minimum and maximum values) and average values of the percentage of gases. As a result of the analysis, for the first time, the ranges of percentage gas content values for 50 groups of faults of various types, including combined faults, were established. This makes it possible to significantly increase the number of faults that can be recognised using the percentage of gases as a diagnostic criterion. In the process of developing the method, it was found that in a number of cases, it is not enough to use only the percentage of gases, but there is an objective need to use both the values of gas ratios and fault nomograms to determine the type of fault.

Development of measures to optimise the modes of 10 kV electrical networks

The article considers the peculiarities of the structure and functioning of distribution electric power networks of Ukraine. A list of technical and organisational measures has been determined, which, both at the design and operation stages, provide for the possibility of using modern technical means and control technologies to ensure regulatory requirements for the parameters of modes, indicators of the quality of electricity and reliability of electricity supply to consumers, and are the most appropriate for improving the efficiency of distribution electric networks. The paper proposes a criterion for optimising the modes of distribution electric networks, which takes into account the nature of load changes, peculiarities of voltage regulation and reactive power compensation in electric networks, as well as the availability of sources of distributed generation and energy storage systems in the network, and additionally provides for the possibility of analysing the operating conditions of generation devices and power equipment. For the studied 10 kV electrical networks, measures have been developed to ensure the conditions for optimising operating modes with regard to these factors. A description of the proposed algorithm for selecting the most appropriate of the developed measures is given, which takes into account the current situation in the electricity market, general global trends in the development of distribution electric networks, current trends and prospects for the development of technical means of ensuring the parameters of the mode of electric networks, automation systems and intelligent control systems for the modes of the studied electric networks, as well as indicators of power supply reliability and quality of electricity supply services to consumers.

Group Method of Data Handling Using Christiano-Fitzgerald Random Walk Filter for Insulator Fault Prediction.

Disruptive failures threaten the reliability of electric supply in power branches, often indicated by the rise of leakage current in distribution insulators. This paper presents a novel, hybrid method for fault prediction based on the time series of the leakage current of contaminated insulators. In a controlled high-voltage laboratory simulation, 15 kV-class insulators from an electrical power distribution network were exposed to increasing contamination in a salt chamber. The leakage current was recorded over 28 h of effective exposure, culminating in a flashover in all considered insulators. This flashover event served as the prediction mark that this paper proposes to evaluate. The proposed method applies the Christiano-Fitzgerald random walk (CFRW) filter for trend decomposition and the group data-handling (GMDH) method for time series prediction. The CFRW filter, with its versatility, proved to be more effective than the seasonal decomposition using moving averages in reducing non-linearities. The CFRW-GMDH method, with a root-mean-squared error of 3.44×10-12, outperformed both the standard GMDH and long short-term memory models in fault prediction. This superior performance suggested that the CFRW-GMDH method is a promising tool for predicting faults in power grid insulators based on leakage current data. This approach can provide power utilities with a reliable tool for monitoring insulator health and predicting failures, thereby enhancing the reliability of the power supply.

Impact of Electric Vehicles toward Energy Reliability of the Jawa-Madura-Bali Electrical Power System

There is an observed limitation in the number of electric vehicles using batteries as power sources (e.g., plug-in electric vehicles) in Indonesia. While the number of said electric vehicles is increasing in response to the government’s commitment to shift the transportation energy source towards electric energy for a more sustainable environment, this change is followed by an inevitable impact on the current electric network and infrastructure. Indonesia’s government predicted that there will be around 20 million 2-wheelers and 4 million 4-wheelers ICE by the year 2030 with an additional load of 29.300 MW to be expected. Lessons learned from other countries have shown that the abrupt changes in the supply-demand energy for the electric vehicle, such as the deficit/surplus of energy or the duck curve phenomena, create an urgency to prevent the said phenomena and the potential financial loss that might have cross-sectoral impacts. Through an analysis of the Jawa-Madura-Bali system, an independent system that can produce 30.970 MW by the year 2020 [1], the paper focuses on the impact of this system in developing an adaptive infrastructure to address increased power needs for electric vehicles in Indonesia. Literature review and data analysis shows that the impact of Electric Vehicles on the Energy Reliability of the Jawa-Madura-Bali Electrical Power System is very pronounced. The amount of energy needed for the grid to be reliable in the EV transition is significantly higher than the natural growth of the grid energy supply. It is feasible that the increasing electricity demand from EVs could be offset by adding more renewable energy sources to the grid. Renewable energy sources, such as solar and wind, (both centralized and decentralized) can help to offset the insufficient total energy supply growth from the conventional power producer. One approach to address these challenges is to continue the development of mixed renewable and non-renewable energy sources, allowing the grid to draw on a variety of sources as needed to meet demand. This development can help to ensure a reliable and stable supply of electricity to meet the needs of electric vehicles and other customers. A supply-demand simulation and prediction, which could be a very helpful tool in the conceptualization of a management plan for the energy system to mitigate the imbalance of supply and demand of electric energy supply should be developed.