IEEE Transactions on Energy Markets, Policy and Regulation最新文献_第7页

An Incentive Scheme for Grid-Enhancing Technologies Based on the Shapley Value 基于Shapley值的电网增强技术激励方案

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-03-21 DOI: 10.1109/TEMPR.2024.3402588

Xinyang Rui;Omid Mirzapour;Mostafa Sahraei-Ardakani

{"title":"An Incentive Scheme for Grid-Enhancing Technologies Based on the Shapley Value","authors":"Xinyang Rui;Omid Mirzapour;Mostafa Sahraei-Ardakani","doi":"10.1109/TEMPR.2024.3402588","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3402588","url":null,"abstract":"Modernization of the transmission system via deploying grid-enhancing technologies (GETs) is a cornerstone of future grid design. New congestion patterns necessitating renewable energy curtailment highlight the significance of GETs. Despite the wide acknowledgment of the importance and benefits of GETs, their deployment remains fairly limited. One important barrier is the lack of proper incentives for deployment and efficient operation of GETs. This paper designs an incentive scheme to compensate GETs based on their performance in the intraday market. The rewards are determined based on the cost savings achieved by GET operations and are allocated to market participants using the Shapley value. The proposed incentive scheme is tested with numerical studies on modified IEEE RTS 24-bus and IEEE 300-bus systems. Results confirm that the designed incentive is aligned with the system objective: GET owners are compensated when cost savings are achieved. The benefits of a performance-based payment scheme are threefold: (i) it promotes efficient operation of existing GETs based on the state of the system, (ii) it attracts further GETs deployment, and (iii) moves the risk from ratepayers to the investors.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 4","pages":"552-560"},"PeriodicalIF":0.0,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Real-Time Bidding Strategy of Energy Storage in an Energy Market With Carbon Emission Allocation Based on Aumann-Shapley Prices 基于奥曼-沙普利价格的碳排放分配能源市场中的储能实时竞价策略

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-03-18 DOI: 10.1109/TEMPR.2024.3378213

Rui Xie;Yue Chen

{"title":"Real-Time Bidding Strategy of Energy Storage in an Energy Market With Carbon Emission Allocation Based on Aumann-Shapley Prices","authors":"Rui Xie;Yue Chen","doi":"10.1109/TEMPR.2024.3378213","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3378213","url":null,"abstract":"Energy storage (ES) can help decarbonize power systems by transferring green renewable energy across time. How to unlock the potential of ES in cutting carbon emissions by appropriate market incentives has become a crucial, albeit challenging, problem. This paper fills the research gap by proposing a novel electricity market with carbon emission allocation and investigating the real-time bidding strategy of ES in the proposed market. First, a carbon emission allocation mechanism based on Aumann-Shapley prices is developed and integrated into the electricity market clearing process to give combined electricity and emission prices. A parametric linear programming-based algorithm is proposed to calculate the carbon emission allocation more accurately and efficiently. Second, the real-time bidding strategy of ES in the proposed market is studied. To be specific, we derive the real-time optimal ES operation strategy as a function of the combined electricity and emission price using Lyapunov optimization. Based on this, the real-time bidding cost curve and bounds of ES in the proposed market can be deduced. Numerical experiments show the effectiveness and scalability of the proposed method. Its advantages over the existing methods are also demonstrated by comparisons.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 3","pages":"350-367"},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Securing Energy Equity With Multilayer Market Clearing 通过多层市场清算确保能源权益

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-03-18 DOI: 10.1109/TEMPR.2024.3377210

Qiwei Zhang;Fangxing Li

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IEEE Power & Energy Society Information IEEE 电力与能源学会信息

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-03-14 DOI: 10.1109/TEMPR.2024.3369352

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Assessment of Economic Surplus Generated at the European Balancing Platforms 欧洲平衡平台产生的经济盈余评估

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-03-14 DOI: 10.1109/TEMPR.2024.3400902

Ulf Kasper;Andreas Kindsmüller;David Steber;Simon Remppis;Dominik Schlipf;Alexander Warsewa

{"title":"Assessment of Economic Surplus Generated at the European Balancing Platforms","authors":"Ulf Kasper;Andreas Kindsmüller;David Steber;Simon Remppis;Dominik Schlipf;Alexander Warsewa","doi":"10.1109/TEMPR.2024.3400902","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3400902","url":null,"abstract":"Load frequency control is a well-established concept in AC-operated power systems. Balancing services are used to continuously keep the equilibrium between feed-in and withdrawal of electrical energy. In recent years, significant harmonization efforts took place in Europe to create a common domestic market for balancing energy. Beside alignment of market rules and product definitions, the establishment of European balancing platforms has been one cornerstone in this development. In 2022, the last two platforms went live enabling all connected countries to commonly activate balancing energy. This paper introduces the general concept of balancing platforms as well as the relevant elements of economic surplus resulting from the exchange of balancing energy. Based on the actual submitted bids, the economic surplus generated at the European balancing platforms for Frequency Restoration Reserves during the first year of operation is assessed. Without additional surplus due to unsatisfied demand, the economic surplus resulting from the exchange of balancing energy sums up to 174.6 m. € in the considered period. The experience from setting up and operating European balancing results in an outlook on further opportunities to foster competition by extending the European balancing platforms into balancing capacity cooperations.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 4","pages":"570-578"},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Blank Page 空白页

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-03-14 DOI: 10.1109/TEMPR.2024.3369356

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IEEE Transactions on Energy Markets, Policy, and Regulation Information for Authors 电气和电子工程师学会《能源市场、政策与监管》期刊作者须知

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-03-14 DOI: 10.1109/TEMPR.2024.3369350

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Evaluating Offshore Electricity Market Design Considering Endogenous Infrastructure Investments: Zonal or Nodal? 评估考虑内生基础设施投资的离岸电力市场设计：分区还是节点？

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-03-13 DOI: 10.1109/TEMPR.2024.3399611

Michiel Kenis;Vladimir Dvorkin;Tim Schittekatte;Kenneth Bruninx;Erik Delarue;Audun Botterud

{"title":"Evaluating Offshore Electricity Market Design Considering Endogenous Infrastructure Investments: Zonal or Nodal?","authors":"Michiel Kenis;Vladimir Dvorkin;Tim Schittekatte;Kenneth Bruninx;Erik Delarue;Audun Botterud","doi":"10.1109/TEMPR.2024.3399611","DOIUrl":"10.1109/TEMPR.2024.3399611","url":null,"abstract":"Policy makers are formulating offshore energy infrastructure plans, including wind turbines, electrolyzers, and HVDC transmission lines. An effective market design is crucial to guide cost-efficient investments and dispatch decisions. This paper jointly studies the impact of offshore market design choices on the investment in offshore electrolyzers and HVDC transmission capacity. We present a bilevel model that incorporates investments in offshore energy infrastructure, day-ahead market dispatch, and potential redispatch actions near real-time to ensure transmission constraints are respected. Our findings demonstrate that full nodal pricing, i.e., nodal pricing both onshore and offshore, outperforms the onshore zonal combined with offshore nodal pricing or offshore zonal layouts. While combining onshore zonal with offshore nodal pricing can be considered as a second-best option, it generally diminishes the profitability of offshore wind farms. However, if investment costs of offshore electrolyzers are relatively low, they can serve as catalysts to increase the revenues of the offshore wind farms. This study contributes to the understanding of market designs for highly interconnected offshore power systems, offering insights into the impact of congestion pricing methodologies on investment decisions. Besides, it is useful towards understanding the interaction of offshore loads like electrolyzers with financial support mechanisms for offshore wind farms.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 4","pages":"476-487"},"PeriodicalIF":0.0,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141114012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Testing Alternative Electricity Market Design Performances: Methodology and Case Study 测试替代电力市场设计的性能：方法与案例研究

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-03-11 DOI: 10.1109/TEMPR.2024.3375645

Adam Suski;Debabrata Chattopadhyay;Claire Nicolas

{"title":"Testing Alternative Electricity Market Design Performances: Methodology and Case Study","authors":"Adam Suski;Debabrata Chattopadhyay;Claire Nicolas","doi":"10.1109/TEMPR.2024.3375645","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3375645","url":null,"abstract":"Wholesale market design choices continue to be debated after four decades, especially as they are being scrutinized in light of the decarbonization goals. This paper shows how a Nash-Cournot equilibrium model can combine capacity, energy, and ancillary services. The model integrates multi-year capacity expansion with dispatch decisions to capture the gaming behavior of generators in the long term, including entry and short-term capacity withdrawal decisions with and without carbon constraints. The model is deployed for Georgia, a hydro-dominated system in Eastern Europe where a new market will be introduced in 2024. The modeling analysis examines how alternative design options perform to support the country's power sector decarbonization. The results show that, in such a system, the proposed energy-only (EO) marke design performs well, yielding the lowest prices without exacerbating volatility both with and without emission constraints. Although the EO design brings in less capacity, leading to higher expected unserved energy (EUE), it does not breach the incumbent reliability standard, albeit we show that it does expose the system to power shortage in extreme low hydro availability scenarios. On the contrary, the options with a capacity market may lead to significant excess capacity, albeit curbing price volatility as well as EUE. While these findings are specific to Georgia, the modeling framework can be deployed in other systems/countries to evaluate market design proposalst.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 3","pages":"407-422"},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets 面向能源和应急储备市场储能竞价的时间感知深度强化学习

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-03-05 DOI: 10.1109/TEMPR.2024.3372656

Jinhao Li;Changlong Wang;Yanru Zhang;Hao Wang

{"title":"Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets","authors":"Jinhao Li;Changlong Wang;Yanru Zhang;Hao Wang","doi":"10.1109/TEMPR.2024.3372656","DOIUrl":"10.1109/TEMPR.2024.3372656","url":null,"abstract":"The battery energy storage system (BESS) has immense potential for enhancing grid reliability and security through its participation in the electricity market. BESS often seeks various revenue streams by taking part in multiple markets to unlock its full potential, but effective algorithms for joint-market participation under price uncertainties are insufficiently explored in the existing research. To bridge this gap, we develop a novel BESS joint bidding strategy that utilizes deep reinforcement learning (DRL) to bid in the spot and contingency frequency control ancillary services (FCAS) markets. Our approach leverages a transformer-based temporal feature extractor to effectively respond to price fluctuations in seven markets simultaneously and helps DRL learn the best BESS bidding strategy in joint-market participation. Additionally, unlike conventional “black-box” DRL model, our approach is more interpretable and provides valuable insights into the temporal bidding behavior of BESS in the dynamic electricity market. We validate our method using realistic market prices from the Australian National Electricity Market. The results show that our strategy outperforms benchmarks, including both optimization-based and other DRL-based strategies, by substantial margins. Our findings further suggest that effective temporal-aware bidding can significantly increase profits in the spot and contingency FCAS markets compared to individual market participation.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 3","pages":"392-406"},"PeriodicalIF":0.0,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140411622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0