Development Of Electricity Market Research Articles

Balancing short-term costs and long-term benefits: an analysis of the impact of hydroelectric power generation on electricity prices volatility in Cameroon

This study examines the short- and long-term impacts of various factors on the volatility and price of electricity in Cameroon, including hydroelectric power generation, economic growth, energy demand, and exchange rates from 2000 to 2019. The study uses an autoregressive distributed lag model. The study found that increasing hydroelectric power generation has both positive and negative impacts on electricity prices in the short and long term. While increasing the share of hydropower in overall energy production results in increased variation of electricity costs in the short term, it leads to significant price reductions in the long run. The study also found that economic growth has a considerable positive impact on the variation of power prices, while energy demand has a negative but insignificant effect on price volatility in the short term. Further, the study indicates that measures, such as encouraging SME engagement in renewable energy production, could improve the participation of local enterprises in the power industry and reduce the volatility of electricity prices. On the other hand, the study suggests that exchange rates could have a negative impact on electricity prices in the short term, but depreciation of the local currency could lower fuel costs and improve the availability of power. Overall, the study provides insights that can inform policymakers, energy regulators, and investors in making decisions that contribute to the efficient and sustainable development of Cameroon's electricity market. The study also highlights the need to prioritize power generation to stimulate economic growth and private investment while promoting renewable energy production.

Cost-sharing mechanisms for pumped storage plants at different market stages in China

In the context of the construction of new power system, the installed scale of energy storage is steadily increasing in order to deal with the problem of safe and reliable operation of the system resulting from a large proportion of renewable energy installations connected to the grid. The pumped storage plants (PSP) have peak shaving, frequency modulation and standby functions which play a major role in ensuring the safety of the system and the consumption of renewable energy. By analysing the evolution of the pricing mechanism of transmission and distribution (T&D) tariffs and PSP, this paper analyses the influencing factors of PSP on T&D tariffs under different stages of electricity market development and establishes a conduction model. The empirical analysis shows that as the electricity market improves, the costs that PSP need to conduct through T&D tariffs continue to decrease. Therefore, it is necessary to accelerate the construction of the electricity market and to reflect the value of PSP through market regulation, in order to enable the PSP to recover part of their fixed capacity costs without relying on T&D tariffs, and to gradually achieve self-profitability.

A double-layer-coated graphite anode material for high-rate lithium-ion batteries

Graphite is currently the most widely used anode material for lithium-ion batteries. However, the rapid development of electric vehicle market puts forward higher requirements to the rate performance of graphite anode. Therefore, in this study, the double-layer-coated (hard carbon and alumina coated) artificial graphite particles (AG@HC@Al2O3) are obtained to meet the requirements above. The inner hard carbon layer improves the rate performance with its large layer spacing. For the outermost ceramic layer of alumina, it further improves the high current charging capacity by improving the wettability of electrolyte to graphite anode. On the other hand, it acts as artificial solid electrolyte interphase film to slow down the loss of coulomb efficiency caused by hard carbon coating. The AG@HC@Al2O3 presents an excellent capacity retention rate of 94.4% at the rate of 1C (1C = 372 mAh g−1) after 150 cycles.

Electricity market development in Vietnam: Historical trends and future outlooks

This study discusses electricity market development in Vietnam, focusing on key achievements and future possibilities. The empirical analysis involves the construction of ESSI, a composite indicator for the security of the electricity supply for Vietnam. Specifically, principal component analysis (PCA) is performed based on eight normalized variables representing four aspects of electricity security. ESSI trends for Vietnam and other ASEAN+6 countries are reviewed and compared during the 1996–2019 period. This research finds that, except for Brunei, the ESSIs of the ASEAN+6 have been on the rise. The findings are robust to different normalization techniques. Policy implications are then offered.

Coupling Mechanism and Synergic Development of Carbon Market and Electricity Market in the Region of Beijing–Tianjin–Hebei

The national carbon emission trading mechanism is an important policy tool for the Chinese government to control and reduce greenhouse gas emissions by using the market mechanism. The Beijing–Tianjin–Hebei power market is the focus of energy conservation and consumption reduction in China. Problems have already existed in the synergic development of the Beijing–Tianjin–Hebei power market and carbon trading market. In this article, the development status of the Beijing–Tianjin–Hebei power market is analyzed and the coupling mechanism between the carbon market and power market is combed out to build a synergism model of the carbon market and the Beijing–Tianjin–Hebei power market based on the system dynamics. From the research results, firstly, the Beijing–Tianjin–Hebei power market comes with a high energy consumption intensity and a high proportion of carbon emissions. The coupling of carbon market and power market forces the power industry to reduce carbon emissions through the effective transmission of carbon costs to power prices. Secondly, carbon price shows an upward trend in the context of the current policy scenario, which can give play to the role of price signal in the future. The revenue of thermal power plants, which are the carbon emission right sellers, with new technologies, has increased significantly, while the revenue of carbon emission right buyers, which are the manufacturers of undeveloped units, has increased less. Finally, the technical progress of thermal power plants, the introduction of auction mechanism, the increase in initial carbon price settings and the direct transmission of carbon costs are all factors that promote the effectiveness of carbon trading policy tools in the Beijing–Tianjin–Hebei power market. This study provides theoretical guidance for the synergic development of the “power-carbon” market.

The contribution of research and knowledge accumulation in the development of the Norwegian battery electric vehicle market

This paper investigates the role of research and knowledge building in developing the world's leading BEV market in Norway 1990-2020. Review of research articles/reports and other documents revealed that Politicians in the early years had little research-based knowledge to build decisions on. The Ministry of Transport therefore financed basic research to evaluate BEVs potential. Incentives suggested by lobbyist, were introduced at negligible cost to support testing/industrialization towards 2000 and 2010, without knowing their far-reaching future consequences. Norwegian industrialization failed by 2010. The policies started working after 2010 when OEM BEVs came. Researcher have after 2010 supported political decisions with market models and by analyzing user needs and policy effects. The early decisions should have been supported by research-based knowledge and regular policy reviews.

Texas electricity service crisis through an energy justice lens

The ongoing energy transition, including the rapid electrification of energy services, reinforces the importance of secure and reliable electricity infrastructure. Electricity as a critical energy carrier cuts across sectoral boundaries, including but not limited to public health, national security, education, and transportation. Electricity markets treat electricity as a commodity bought and sold in the different restructured markets of the United States and are a critical feature of power systems shaping the energy transition. However, current electricity market developments primarily rely on techno-economic indicators and fall short of incorporating ethical considerations to spur energy transition towards 100% renewable electricity as end-use energy. Even though electricity markets are designed based on the assumption that they are socially valuable, they essentially go unmeasured based on social and ethical parameters and are largely measured using technical and economic tools and criteria. These inadequacies in the development of electricity markets fail to provide energy and other allied services, particularly during and in the aftermath of a disaster, to the people who need them the most. This paper aims to provide an analytical framework using the foundational approach of energy justice for looking at the electricity market development. The paper utilizes the case of the Texas electricity market and its role in dealing with the electricity crisis in Texas during the winter storm of 2021 from the critical lens of energy justice. The paper shows that using the foundational approach of energy justice, the electricity market can be designed more ethically by considering electricity as means rather than only a market commodity.

Does the Ukrainian electricity market correspond to the european model?

The paper explores 29 models of the European electricity markets and the degree of their deviation from the single electricity market model established by the trans-European legislation. Although all models correspond to the design of the pan-European single one, they remain significantly differentiated according to trading forms and pricing methods. The electric power system in Ukraine has developed oppositely to the European ones, and the electricity market is quasi-competitive. The study proposes a novel model for the Ukrainian electricity market, which considers the European acquis communautaires, the advanced practice in electricity market development, and the specifics of the Ukrainian electric power system.

Impact of Adriatic submarine HVDC cables to South East European Electricity Market Perspectives

The ultimate goal in today’s electricity business in Europe is market integration on pan-European level that will introduce transparency and competition between market players, incentives to clean energy development, as well as high quality of supply to the end-customers. To achieve these goals, in South-East Europe (SEE) there are number of barriers and uncertainties, one of which is linked with the possible new undersea HVDC connections between SEE and Italy. With the support of the United States Agency for International Development (USAID) and coordination of the United States Energy Association (USEA), within the framework of the Southeast Europe Transmission System Planning Project (SECI), a detailed analysis has been accomplished on the impact of one or more undersea HVDC cables between Italy and SEE on power system operation and electricity market development [1]. Special emphasis to this analysis is given by the fact that SECI has been one of the longest running projects in the region. It started in 2001 with active participation of all regional TSOs, including continuous updating of power system and electricity market models and its harmonization of constant changes in power system planning. It is of utmost importance in the environment of constant changes of national power system development plans and needed further steps for full market opening and integration in the region. SEE power systems and market1 were modelled using the most relevant power system and market simulation and optimization softwares. Both system and market comprehensive models have been verified by all SEE TSOs. Study analyses were divided in two parts: 1) market analysis and 2) network analysis. The market study investigated expected generation pattern, power exchanges and wholesale prices in SEE, taking into account regional market synergy, the new links with Italy, and high level of RES integration. Bulgaria and Romania are currently the main exporters in SEE. Significant power exchanges in the North-South/Southeast direction are related to the fact that the GR, MK, ME, HR and AL are mainly importing, plus the influence of Italy importing over new potential HVDC cable(s). Network analysis dealt with power flows, network bottlenecks and voltage profiles in given market scenarios. Finally, the results of this comprehensive market simulation comprised of the following:
 
 Countries electricity balance (production, consumption and exchanges)
 Electricity prices for each country
 Cross-border power exchanges (MWh/h) for each border in the region on hourly basis
 HVDC link loadings (MWh/h) for each HVDC submarine cable on hourly basis
 Location and frequency of market congestions in SEE (NTCs full between areas with price difference)
 
 All those analyses have been performed in two different transmission network development scenarios:
 
 Base case scenario: with planned HVDC ME-IT
 Alternative scenario: with planned HVDC ME-IT, and HVDC HR-IT, and HVDC AL-IT
 
 In this way one of the most important uncertainties (new HVDC links SEE – Italy) for future power system and market operation in SEE, have been evaluated both in technical and market sense, using the most relevant inputs and model.

Research on the Development of Electricity Market Based on Performance Guarantee

China’s electricity market is currently in the development stage, and the related system is not comprehensive enough. Therefore, it is a key issue to standardize the trading behavior of the market entities and improve the operation efficiency of the electricity market. To solve this problem, this paper takes advantage of Cournot duopoly model to find Nash equilibrium on the electricity supply side and constructs a bank performance guarantee model based on the profit function on the electricity sales side. This study also sorts out the function of performance guarantee, its mechanism for risk prevention, and the feasibility of promoting the performance guarantee mechanism and other supporting systems. Finally, the conclusion is drawn that the performance guarantee mechanism can effectively prevent the risks in the electricity market, and it can be promoted with other supporting systems.

Market Transaction Model Design Applicable for Both Plan and Market Environment of China’s Renewable Energy

China’s electricity market is undergoing a rapid development stage from plan to market and will exist in plan and market models for a long time. Based on the status quo of China’s power plan and market in-depth, this paper has studied and put forward a kind of market transaction mechanism adapted to the plan and market models of China. The mechanism arranges a priority generation plan first to match the priority electricity plan. Especially for renewable energy generation output greater than planned value, it carries out priority arrangement of renewable energy generation to guarantee its reliable consumption. Then medium- and long-term market transactions and incremental spot market transactions are carried out. This paper detailed design operational processes such as priority plan, medium- and long-term, spot (i.e., day-ahead, intraday, and real time), auxiliary services, and balance stages. Finally, based on actual data of the provincial electricity market, the calculation and analysis are carried out to verify that the method proposed in this paper can effectively reduce market imbalance and promote renewable energy consumption, which has a certain practical value for China’s electricity market development.

Decarbonization: Challenges for the electricity market development — Serbian market case

Decarbonizing the energy sector in order to reduce the consequences of climate change is possible through a comprehensive set of new measures in this sector: integration of a higher share of electricity from renewables and reduction in the share of fossil fuels in the energy mix, improvements in energy efficiency across the board, but also the development of a new, functioning model of the electricity market. As the electricity market is a complex and dynamic environment, this paper highlights that the new vision for the sector outlined here requires a holistic approach with multiple perspectives. The paper focuses on possible challenges in achieving these goals. Having in mind a common vision, it has been up to each country to reshape its domestic energy sector, as well as to use the opportunity to benefit from such a transition to the suggested framework. The contribution of this paper are detailed suggestions for that transition process in the case of the Republic of Serbia. To the best of our knowledge, this is the first paper to systematically explore the evolution of the electricity market design in the Republic of Serbia to ensure a feasible decarbonization process.

Electricity Market Development in Vietnam: Historical Trends and Future Perspectives

Electricity Market Development in Vietnam: Historical Trends and Future Perspectives

A robust game-theoretic optimization model for battery energy storage in multi-microgrids by considering of renewable based DGs uncertainty

With the development of electricity market, in the future, various stakeholders such as battery energy storage system (BESS), multi-microgrid (MMG), photovoltaic (PV), and wind turbine (WT) clusters, can trade with the distribution network or each other to meet their power balance needs and to maximizing their profits. In order to predict the charging and discharging power of the battery, a Markov Decision Process (MDP) model of random variables is established. Then, a robust game-theoretic optimization (GO) model is established for MMG's economical operation by considering the renewable based DGs uncertainty. And suggestions for battery operation modes under different compensation coefficients are given. In addition, BESS capacity and demand response (DR) for each microgrid are considered in this proposed model, and an uncertainty adjustment parameter is introduced to adjust the level of conservatism of the robust solution against the modeled uncertainty. In order to search the robust Nash equilibrium solution, this paper proposes a two-level game model based on game theory to study the operation strategy of BESS in the distribution network by considering of renewable based DGs uncertainty. This model is decomposed into a master problem (1st level) and a sub-problem (2nd level), which are solved based on the column and constraint generation algorithm , particle swarm optimization (PSO) and MDP model for random variables of BESS. Simulation result shows that the proposed approach has a well performance in tackling the uncertainty of renewable based distributed energy generation.

Influence of distributed generation on electricity market development. Experience of Denmark

Influence of distributed generation on electricity market development. Experience of Denmark

Biogas Development in China to Achieve Carbon Neutrality

To meet China’s goal of reaching carbon-neutrality by 2060, the state will have to surmount tremendous technical and bureaucratic obstacles in transitioning its coal-dependent economy toward renewable energy. Biomass has a carbon neutral life cycle and great potential for promoting climate change benefits. The main problems restricting biogas development in China are the lack of integrity and unified policy, and the contradiction between longer duration of environmental PPP (Public-Private-Partnership) project and social capital always pursuing short-term profits. PPP is an institutional arrangement of policy interaction, which means that there is a legally structured partnership between government and private actors. Therefore, we propose that China should further accelerate the construction of basic and standardized PPP legal system, further promote the innovation development of PPP model, and establish effective risk-sharing and credit constraint mechanisms. According to the degree of government involvement and the role of the market, biogas development can be divided into three main stages: the government support phase, the transitional phase and the market-driven phase. A policy path that adapts to China’s electricity market and biogas development is designed based on the three development stages, and it strictly follows the principles of development, coordination and innovation

Цифровая трансформация розничного рынка электрической энергии: проблемы и задачи

The article provides an overview of the world experience of digitalization of the electric power industry, examines the prerequisites for the development of the digital retail electricity market in the Russian Federation, highlights the main technical, organizational and regulatory issues and problems of transition to the digital retail electricity market

Advanced information technology for development of electric power market

Features of the electric power market functioning, in comparison with common properties of modern markets, are considered. It is shown that continuous reforms, which take place in many countries, are far from reaching effective solution. Sectoral peculiarities, connected with both technological complexity of the field and economic specificity of the market participants, form very special model of the market. The main way to increase effectivity of the market, to make it more competitive and, in the same time, socially responsible, is to use widely and deeply the modern information technologies, including technologies of artificial intelligence. A technological scheme (especially targeted on features of the electric power market) has been proposed in the article. First, the technologies merge methods of collection, storage, processing, and presentation of information. The collection of market data should be automated, particularly, by the so-called intellectual avatars, which operate in the market as virtual agents. A reliable distributed storage of data, based on blockchain technology, is chosen. The big data technologies of data structuring, storage, and processing are involved. Datamining methods include effective presentation of results in forms of graphs and diagrams. The second set of technologies includes core mathematical models and “digital twins.” They are aimed for data interpolation and extrapolation, in particular, for prediction of further system dynamics. The used neural networks have option of self-learning and self-development. At last, the third set is a set of user interfaces, which provides market actors by complete and adopted information and is organized in accordance with ideas of ergonomics.

Rozwój rynku samochodów elektrycznych w USA: uwarunkowania makroekonomiczne i prognozy

Rozwój rynku samochodów elektrycznych w USA: uwarunkowania makroekonomiczne i prognozy

A multi-objective stochastic optimization model for electricity retailers with energy storage system considering uncertainty and demand response

The development of electricity retailers with energy storage systems expands the energy use ways of users, promotes the consumption of clean energy power generation, and facilitates the development of electricity market. However, due to the imperfect trading mechanism and uncertainties of power supply and demand, the business risk continues to be large, which leads to limited sustainable development of electricity retailers. Therefore, based on the design of a trading mechanism of electricity retailers with energy storage systems in the electricity market, this paper constructs a multi-objective stochastic optimization model of the retailers’ flexible purchase of electricity, aiming at minimizing the cost of electricity retailers and maximizing the consumption of clean energy power generation. In the model, the uncertainty of supply and demand and the demand response are taken into consideration. The results show that: (1) Compared with the conventional optimization model, considering the uncertainty in the medium-and-long-term electricity trading, although the demand for clean energy is reduced, the retail cost of temporary electricity in the day-ahead trading is also reduced. (2) The retailers make full use of flexible power charging and discharging, so the extra cost of purchasing electricity in the day-ahead trading caused by the uncertainty of clean energy is reduced via the energy storage demand response. (3) A price-based demand response can change the electricity purchase demand of retailers, improve the transaction volume between retailers and clean power enterprises in the medium-and-long-term electricity trading, and reduce the energy purchase cost while improving the consumption of clean energy power generation. (4) Due to the impact of initial investment cost and other factors, there is no obvious linear relationship between the capacity of energy storage systems and the reduction of retail energy purchase cost; therefore, it is necessary to apply energy storage systems reasonably to achieve the optimal economic benefits.