Power Supply Cost Research Articles

Optimization of energy storage assisted peak regulation parameters based on PSS/E

The development and utilization of new energy is one of the biggest issues facing mankind. With the rapid development of new energy, its proportion in the power system is getting higher and higher, which will inevitably lead to the increase of the peak–valley difference of the power grid, resulting in a series of stability problems. The connection of energy storage devices to the power grid can not only effectively utilize the power equipment, reduce the power supply cost, but also promote the application of new energy, improve the stability of the system operation, reduce the peak–valley difference of the power grid, and play an important role in the power system. In this paper, the simulation is carried out in PSS/E, and the excitation model and energy storage model are established based on the user-defined function of PSS/E. The particle swarm optimization algorithm is used to optimize the parameters of the excitation system and the energy storage control system, and the performance difference of peak regulation before and after adding the energy storage model and parameter optimization is simulated and compared. Through simulation, the correctness of the user-defined model of excitation and energy storage and the feasibility and superiority of energy storage participating in peak regulation are verified.

Multi-objective capacity optimization configuration of independent wind-photovoltaic- hydrogen-battery system based on improved MOSSA algorithm

Under the background of large-scale and rapid development of renewable energy, in order to improve the economic benefit of the system and ensure the reliability of the system, this paper introduces hydrogen production and energy storage into the independent wind/photovoltaic/hydrogen/storage capacity optimization configuration method. In order to minimize the total planning cost and self-sufficiency rate of system power supply, a capacity optimization allocation model was established. On the basis of this model, the Multi-objective Salp Swarm Algorithm (MOSSA) was improved in Algorithm structure, Tent chaotic mapping was introduced to initialize the population, and the positions of leaders and followers were updated based on the adaptive spiral search strategy. The validity of the algorithm is verified by test function. Finally, the specific example is solved by MATLAB programming, and the improved multi-objective Salp Swarm Algorithm (IMOSSA) is used to obtain the capacity configuration scheme, which provides reference for the optimization design of independent photovoltaic hydrogen storage system.

ОЦЕНКА ЭФФЕКТИВНОСТИ ПРИМЕНЕНИЯ ПОСТОЯННОГО ТОКА ДЛЯ ЭЛЕКТРОСНАБЖЕНИЯ ЖИЛЫХ ДОМОВ

The problem of quantitative assessment of the efficiency of using direct current for power supply within the framework of distributed generation with renewable energy sources (RЕS) is formulated. Typical architectures of microgrids running on direct and alternating current are considered. The possibility of reducing power conversion stages when switching to direct current and reducing the cost of power supplies for electronic devices is analyzed. The solution to the problem is carried out using the example of a residential building. At the same time, to assess the potential of renewable energy sources (solar activity, wind speed), data obtained using an alternative energy complex (AEC) deployed at the Smolensk branch of MPEI are used. Modeling of electrical load profiles of consumers is carried out which based on a probabilistic-statistical model. To evaluate the efficiency, mathematical models of various types of power converters have been developed. The modeling algorithm is presented in the form of a block diagram. The efficiency of a microgrid on direct current is calculated relative to a similar system on alternating current for different operating modes of the microgrid. A conclusion is formed about the most effective operating mode.

Low-Cost/High-Precision Smart Power Supply for Data Loggers

This paper presents a low-cost/high-precision smart power supply for application on data loggers. The microprocessor unit is the brain of the system and manages the events and was optimized to provide electrical energy to the electronic devices under normal operation and under the presence of disruptive events. The measurements showed that when switching either from battery to AC or from AC to battery, neither caused the shutdown of the power supply nor affected the behavior of the power supply. The power supply was able to charge 80% of the battery on a fast recharge of 1 h and the remaining 20% on a slow recharge of 2 h. The current allocated to the battery did not affect the operation of the power supply. The tests also showed that the power supply was able to transmit relevant information about its operation to external computers through a serial connection. This information includes the voltages at the battery and at the output of the voltage regulators, the voltage level of the AC network, the level of the battery charge and if it was being recharged, the current being drained, the internal temperatures at two locations (one measured on the resistor that limits battery charge and another measured on the output diode of the regulators), and whether the cooling system is being used. The total cost of this smart power supply is less than $150, demonstrating good potential for its popularization.

Shore Power Optimal Scheduling Based on Gridding of Hybrid Energy Supply System

In order to reduce the environmental pollution near the port and save the cost of power supply, it is necessary to use shore power technology to power the ships that dock. This paper studies a power distribution strategy based on hybrid energy supply system. Through the establishment of wind power generation subsystem, photovoltaic power generation subsystem, and then combined with the national grid system to form a hybrid energy onshore power supply system, using the hybrid energy power supply system to power the ship. Without considering the power connection device, the whole shore power system was gridding processing. The objective function is established with the lowest cost of power supply system, and the grid node coefficient is calculated with different optimization algorithms to realize power distribution of port shore power supply system. The results showed that the power supply cost of the hybrid power supply system obtained by genetic algorithm (GA) and particle swarm optimization algorithm (PSO) is lower than the traditional power supply cost, and the power distribution is realized according to the distribution node coefficient. It provides a theoretical basis and application reference for the optimization scheme of energy management combined with port power and distributed power supply and the construction and management of new shore power.

Digital tools used by teachers for assessing learners with Attention-Deficit/Hyperactivity Disorder (ADHD): Implications for career transitioning

Research has shown that the use of digital assessment tools enhances learners’ engagement in their learning process outside the school environment. Unfortunately, the use of digital tools is contemptible in low-and-middle income countries. In this study, the researcher examined the digital tools used by teachers for assessing learners with Attention-Deficit/Hyperactivity Disorder (ADHD). The study employs a qualitative, phenomenological approach. Using a purposive sampling procedure, six university teachers from three geographical regions in southern Nigeria participated in the study. The use of digital assessment tools was assessed through a structured interview. The responses of the participants were analysed thematically. The findings identified some of the digital assessment tools used by teachers as well as the associated challenges. Specifically, the study established that Google form, Socrative, and Kahoot form were the digital assessment tools mostly used by the teachers in assessing learners with ADHD. The study also revealed that the major challenges of using these digital tools include lack of device, network glitches, poor power supply and high cost of data. The implications of the study were highlighted and recommendations were made.

Large force actuator using an electro-adhesive gel super multi-disk

Actuators with clutch mechanisms have advantages in safety, backdriveability, and controllability for human-coexistence robots. This paper presents a large force actuator using electro-adhesive gels, which are functional materials controlled by the magnitude of an electric field. The developed actuator can generate and continuously control a force over 560 N and resist with a small force when de-energized. The number of electro-adhesive gel disks is drastically increased to increase the generative force. This paper reports the structural plan for the new actuator and experiments to investigate its basic characteristics. Based on the experimental results, an actuator model is identified for the future design of its control system. This paper contributes to the development of a clutch-type linear actuator with a large generative force, maintaining safety and a high force-to-weight ratio. It also addresses the problem of high-voltage power supply costs for electro-rheological and electro-adhesive materials.

Overview of Solar–Wind Hybrid Products: Prominent Challenges and Possible Solutions

Solar and wind power systems have been prime solutions to the challenges centered on reliable power supply, sustainability, and energy costs for several years. However, there are still various challenges in these renewable industries, especially regarding limited peak periods. Solar–wind hybrid technology introduced to mitigate these setbacks has significant drawbacks and suffers from low adoption rates in many geographies. Hence, it is essential to investigate the challenges faced with these technologies and analyze the viable solutions proposed. This work examined solar–wind hybrid plants’ economic and technical opportunities and challenges. In the present work, the pressing challenges solar–wind hybrids face were detailed through extensive case studies, the case study of enabling policies in India, and overproduction in Germany. Presently, the principal challenges of solar–wind hybrids are overproduction, enabling policies, and electricity storage. This review highlights specific, viable, proposed solutions to these problems. As already recorded in the literature, it was discovered that academic research in this space focuses majorly on the techno-economic and seemingly theoretical aspects of these hybrid systems. In contrast, reports and publications from original equipment manufacturers (OEMs) and engineering, procurement, and construction engineers (EPCs) are more rounded, featuring real-life application and implementation.

Optimal sizing of hybrid PV–Wind–Battery storage system for Net Zero Energy Buildings to reduce grid burden

Accessing reliable, clean and affordable energy can be achieved by hybridization of renewable energy sources (RES) such as solar and wind. Such a hybrid photovoltaic (PV) and wind system along with battery storage (BS) has been considered for this work to realize the concept of Net Zero Energy (NZE) for a group of buildings (NZEBs). Generally, optimal sizing of hybrid PV–Wind system for NZEBs are carried out to ensure the minimum Loss of Power Supply Probability (LPSP) and cost with NZE balance constraints. But, the energy transfer between the buildings and grid has not been considered which is a vital parameter in optimal sizing of renewable energy generators for NZEBs. In NZEBs, over sizing/under sizing of renewable energy generator leads to greater energy export/import between the building and grid, which eventually increases burden on the electrical grid. So, in this work, minimization of total energy transfer (TET) is considered as the third objective function along with LPSP and cost to minimize the grid burden. A Non-dominated Sorting Genetic Algorithm II (NSGA-II) has been utilized for optimization of three objective functions such as annualized cost of the system (ACS), LPSP and TET, which are conflicting and incomparable. Based on the proposed sizing technique, the size of hybrid PV–Wind generators and BS capacity are determined from the pareto front solutions. To exemplify the reduced grid burden by reducing the TET, the results of proposed three objective function sizing technique are compared with the results of two objective function (cost and LPSP) sizing technique and analyzed for two different conditions of LPSP. The results confirm that the reduced TET has been achieved through the proposed sizing technique.

Capacity optimization and feasibility assessment of solar-wind hybrid renewable energy systems in China

The solar-wind hybrid renewable energy systems, including wind farm, photovoltaic (PV) plant, concentrated solar power (CSP) plant, electric heater, battery, and bidirectional inverter, are analyzed in 36 typical locations in China. The effects of wind and solar energy resources on power supply reliability and economy and the optimal installed capacities are analyzed. The regions in China recommended for the development of the systems are given. Results show that the levelized cost of energy (LCOE) of system in Huade can be as low as 0.1 $/kWh when 90% of annual load demand is met. The wind speed and solar irradiation have a major effect while the complementary characteristics of wind and solar energy have an auxiliary effect on power supply reliability and cost of the system. Compared with the system in Tongliao, the LCOE of system in Qiqihar with lower wind speed and solar irradiation intensity is reduced by 9.8% due to the better complementary characteristics of wind and solar energy. For systems in locations with different wind and solar energy resources, the wind farm or PV plant is still the technology with the greatest cost advantage but the worst power supply reliability. The electric heater with thermal energy storage and power cycle is an essential factor to greatly improve power supply reliability economically. Meanwhile, one of the solar field and battery should be integrated into the system according to the direct normal irradiance conditions. When high power supply reliability is pursued, the CSP plant is recommended to be introduced in most regions. Moreover, the commercial promotion of CSP plant brings the most significant economic benefits to the system. As the CSP plant cost is reduced by 30%, the LCOE of system is reduced by 20.4%.

An Empirical Study on Solar Performance, Cost, and Environmental Benefits of Solar Power Supply

Developing countries are still using fossil fuels as the conventional method to produce electricity. Pakistan is one of the developing countries which relies on fossil fuels to produce electricity. Based on United Nations 17 sustainable goals and high fuel prices, the government of Pakistan is encouraging the solar power sector and investments from private companies in the technology by reducing tariffs to import solar technology. The report aims to analyze the technical and commercial aspects of solar power generation, net metering, impact on the supply and demand of power generation on the K-Electric grid system, and its environmental impact. The research is applied research based on the data provided by the company. By sustaining the demand for conventional power through solar energy, Pakistan and other developing countries could better perform by increasing solar energy performance.

Optically powered 5G WDM fronthaul network with weakly-coupled multicore fiber.

The number of base stations (BSs) for the fifth generation (5G) wireless network is substantially increased, as each coverage is greatly reduced. Therefore, both the miniaturization and the densification of BSs suffer from the challenges of electrical power supply and deployment cost. Here, we present an optically powered 5G fronthaul network, in support of the co-propagation of spatial-division-multiplexing (SDM) energy light and wavelength-division-multiplexing (WDM) 5G new radio (NR) signals over the weakly-coupled multicore fiber (WC-MCF). When the 60-W energy light at 1064.8-nm is equally distributed among the outer six cores, and the 9-Gbit/s 5G NR WDM signals are transmitted over the central core of 1-km WC seven-core fiber (WC-7CF), we can collect total 11.9-W electrical power at the remote node, for the purpose of optically powered small cells. Meanwhile, the error-vector magnitude (EVM) values of 1.5-Gbit/s 5G NR 64-level quadrature amplitude modulation orthogonal frequency division multiplexing (64QAM-OFDM) signals at the central frequency of 3.5 GHz fluctuate within a range of 0.3%∼0.39%, under a received electrical power of -25 dBm, for all six-wavelength channels. Six optically powered small cells are equipped with the characteristics of centralized management and flexible access-rate.

Availability and utilization of digital marketing tools among fresh African catfish marketers in Omambala Region of Anambra State, Nigeria

This study examined the availability and utilization of digital marketing tools among fresh African catfish marketers in Omambala region of Anambra State, Nigeria. Frequency count, percentage, mean score and multiple regression analysis were used to analyze the data collected from 120 respondents. Social media marketing (84.2%), video/YouTube marketing (79.2%), websites (71.7%) and mobile applications (55.0%) were the digital marketing tools available to them in the study area. Perceived benefits of digital marketing included easy access to unlimited geographical location and information, its less expensive nature, convenient store hours, and increased customer base, sales, and profit. Level of utilization of digital marketing tools amongst the fresh African catfish marketers showed that there were high levels of utilization of social media marketing, video/YouTube marketing, Mobile applications, and websites, with social media marketing being the most utilized. High cost of mobile phones and laptops, inadequate operating capital, poor power supply, computer literacy, huge advertisement and internet subscription cost, limited access to internet, and lack of awareness were the identified constraints to the marketers’ utilization of digital marketing strategies. Age of the marketers had negative effect on their level of utilization of digital marketing tools, while educational qualification, marketing experience and availability of fund had positive effect on the marketer’s level of utilization of digital marketing tools. Fresh African catfish marketing is a source of livelihood in the study area and the marketers utilize some digital marketing tools. Fresh African catfish marketers be given financial support, and more awareness created on other digital marketing tools for increased income and livelihood.

Three-Phase Unbalanced Distribution Network Dynamic Reconfiguration: A Distributionally Robust Approach

The active distribution network has witnessed an increasing penetration of distributed generation (DG) while the stochasticity and variability arising from DGs also impose significant challenges on system operation. To mightily accommodate the uncertainty of DG, we introduce a distributionally robust chance-constrained dynamic reconfiguration approach for a three-phase unbalanced distribution network. The proposed framework optimizes the switching cost and the expected power supply cost from upstream grid, and stipulates that the chance constraints hold under the worst-case distribution within a novel ambiguity set, which incorporates the Wasserstein distance and the first-order moment. Then we develop tractable and scalable solution methods to tackle the expected objective function and chance constraints. As a result, the proposed model is reduced to a mixed-integer linear programming problem that can readily be implemented. Numerical experiments are carried out on the IEEE 34-bus and 123-bus test systems to demonstrate the effectiveness and efficiency of the suggested approach.

A Brief Overview of Energy Efficiency Resources in Emerging Wireless Communication Systems

It is crucial to design new communication technologies to surmount the setbacks in RF communication systems. A suitable energy-efficiency scheme helps evade needless energy consumption in wireless communication. Appropriate choice of the most suitable energy-efficiency scheme aids in selecting the most energy-efficient equipment to minimize the expense of energy towards decreasing individual network element energy consumption without affecting their unique features. This review presents the energy efficiency challenges in wireless communication by employing different technologies. The emergence of visible light communication (VLC) provides an energy-efficient wireless communication system despite the various challenges inherent in its adoption that limit its physical realization. This work seeks to harness the potential of the transmission capabilities of VLC while providing an insight into novel practical implementation techniques. The work also addresses the energy consumption problem of low-active components and idle period of active components of base stations by using sleep modes for their systematic turning off and on. The high cost of power supply and the environmental emission of gases from base stations are also addressed by integrating a renewable energy resource into the conventional standalone diesel generators. Overall, the work provides an overview of information necessary for foundational research in energy-efficient resources applied to emerging wireless communication systems.

Filter paper membrane based microfluidic fuel cells: Toward next-generation miniaturized and low cost power supply

Micro Fuel cells or microfluidic fuel cells (μMFCs) are one of the most promising power supplies for portable electronics. However, the necessary electrode spacing is required to prevent fuel-crossover and maintain the stable operation, introducing the unavoidable ohmic resistance and retarding the miniaturization. Herein, we propose a novel μMFC device combining the cellulose paper as separator, with selective catalysts at the cathode side to eliminate the unwanted side reactions and increase the system compactness. One single reactant solution containing fuel and electrolyte is applied to keep the device stable operation. The power-generation properties are evaluated in typical alkaline conditions. A great construction simplification makes the device a substantial high-power density of 2.14 W cm−3 and maximum current density of 15.82 A cm−3. The μMFC stacks are arranged in series and parallel manners, which delivers a maximum power output of 23.6 mW and current of 194.6 mA. It is expected that innovative and customizable performance from commercial paper and low-cost carbonaceous catalysts can provide a forum for future advancement in chip-based electrochemical energy generation and storage devices.

Design of Solar Panels for Light Fidelity (Li-Fi)

Light-fidelity(Li-Fi) has become a revolutionary technology in this modern era of wireless communication systems. Li-Fi is based on IEEE 802.15.7 standard and having long spectrum with wavelength of the signals ranges from 380 to 780 nm. As bandwidth of the radio electromagnetic spectrum is becoming more saturated and facing shortage which is a very alarming situation for the engineers working in wireless communication technology. This issue can be resolved using Li- Fi instead of wireless-Fidelity (Wi-Fi) for wireless internet. One of the major advantages of Li-Fi is, it has low initial cost with increased data rate. Moreover, there are certain places where we cannot use Wi-Fi like in air space, petrol stations, nuclear reactor etc. Li-Fi tackle such issues and now we can use internet anywhere and anytime with much larger speed. To use internet without interruption, Li-Fi requires low cost and continuous power supply. In this paper, we propose an alternate power solution for Li-Fi using a free natural source that is a sunlight. Utilizing the proposed solution, one can enjoy internet continuously without power interruption for the low cost of electricity.

Optimization planning method of distributed generation based on steady-state security region of distribution network

Distributed wind and photovoltaic (PV) power generation are boosting in China. The wide integration of these generators into the distribution network leads to the risk of branch overload and bus voltage violation. To cope with the above risk, some peak output of wind turbines and PV equipment may be curtailed. Although curtailment measure leads to the increase of wind and PV power generation cost, more wind and PV electricity can be integrated into distribution network. In order to balance the power supply cost and the penetration rate of wind and PV electricity, the principle of economic consumption is introduced. Then an optimization planning method considering wind and PV electricity curtailment measure is proposed, and a fast model solving method based on distribution network steady-state security region is proposed. The main work is as follows. Firstly, a maximum and minimum optimization planning model is established. The maximum optimization refers to the maximum consumption of renewable energy electricity during the operation scheme formulating. The minimum optimization refers to choosing the planning scheme with the lowest power supply cost. Secondly, steady-state security region of distribution network is used to solve the optimization model quickly. To the maximum optimization, the model is transformed into a linear programming model with the help of the security region linear expression in power injection space. To the minimum optimization, an initial solution formulation method based on the redundancy information of the system operation state is given, by which the initial solution is close to the final solution. Finally, a case study of the IEEE 33-bus system is carried out and proves the effectiveness of the method. It is found that under the principle of economic consumption, the penetration rate of renewable energy electricity can be effectively improved when suitable renewable electricity curtailment measure is taken.

Cost-Benefit Analysis of a Standby Retrial System with an Unreliable Server and Switching Failure

In many industries and plants, a stable power supply system with acceptable cost/benefit is essential. This paper investigates the cost-effectiveness of an unreliable retrial system that includes standby generators and experiences the switchover failures of standby generators. Four different standby retrial configurations are included, and each configuration includes various numbers of primary and standby generators. Upon arrival, a failed generator is repaired immediately if the server is available; otherwise, the failed generator will enter into orbit. The server is subject to breakdown even when the server is idle. The explicit expressions of the mean time-to-failure and steady-state availability for each configuration are derived and compared. We also compare the cost/benefit ratio among four configurations. The developed results can provide managers with decision reference for stable power supply system and cost reduction.

Optimal Cumulative Cost Strategy for the Thermal-Solar Integrated Radial Distribution System with Minimized Carbon Footprint for Sustainable Solution for Clean Energy

ABSTRACT The article presents optimal cost approach for the solar- thermal integrated radial distribution system. The gap between supply and demand can be bridged by integration with solar photovoltaic systems to existing networks. Such integration consequently increases size of power system network components and enhances cost of the system. The cumulative cost of system consists of thermal emission cost, thermal fuel cost, direct cost of solar generation while emission cost of solar is indirectly contributed in the form of raw material extraction, transportation, manufacturing of solar photovoltaic cell etc. The carbon emission releases its mark into atmosphere as a carbon footprint. In order to overcome such issue, an optimal complex non -linear multi-objective is framed separately for component size, thermal generating cost and solar generation direct cost while another multi-objective function represents the solar indirect cost and carbon footprint which is represented as loss of carbon emission which comprises three components: loss of cost of energy, loss of power supply probability and cost constraint. The multi-objectives function has been minimised with the proposed power exponential method and genetic algorithm. The reliability and effectiveness of the proposed methodology has been tested successfully on standard IEEE-30 bus system. It is observed that optimal thermal fuel cost, thermal emission cost, total thermal generating cost, solar direct and indirect cost and thereby total solar generating cost and finally cumulative cost of system, plus carbon footprint estimation are found to be lesser with proposed method in comparison with genetic algorithm and existing techniques.