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2024 Index IEEE Transactions on Energy Markets, Policy and Regulation Vol. 2 能源市场，政策与监管，第2卷
IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-12-17 DOI: 10.1109/TEMPR.2024.3519796
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引用次数: 0
IEEE Power & Energy Society Information IEEE电力与能源协会信息
IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-12-12 DOI: 10.1109/TEMPR.2024.3505656
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引用次数: 0
IEEE Transactions on Energy Markets, Policy, and Regulation Information for Authors IEEE能源市场、政策和法规信息汇刊
IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-12-12 DOI: 10.1109/TEMPR.2024.3505658
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引用次数: 0
Blank Page 空白页
IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-12-12 DOI: 10.1109/TEMPR.2024.3505660
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引用次数: 0
Risk-Aware Security-Constrained Unit Commitment: Taming the Curse of Real-Time Volatility and Consumer Exposure 风险意识安全约束的单位承诺：驯服实时波动和消费者暴露的诅咒
IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-09-18 DOI: 10.1109/TEMPR.2024.3464238
Daniel Bienstock;Yury Dvorkin;Cheng Guo;Robert Mieth;Jiayi Wang
{"title":"Risk-Aware Security-Constrained Unit Commitment: Taming the Curse of Real-Time Volatility and Consumer Exposure","authors":"Daniel Bienstock;Yury Dvorkin;Cheng Guo;Robert Mieth;Jiayi Wang","doi":"10.1109/TEMPR.2024.3464238","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3464238","url":null,"abstract":"We propose an enhancement to wholesale electricity markets to contain the exposure of consumers to \u0000<italic>increasingly large and volatile consumer payments</i>\u0000 arising as a byproduct of volatile real-time net loads – i.e., loads minus renewable outputs – and prices, both compared to day-ahead cleared values. We incorporate a trade-off, motivated by portfolio optimization methods, between standard day-ahead payments and a robust estimate of such excess payments into the day-ahead computation and specifically seek to account for \u0000<italic>volatility</i>\u0000 in real-time net loads and renewable generation. Our model features a data-driven uncertainty set based on principal component analysis, which accommodates both load and wind production volatility and captures locational correlation of uncertain data. To solve the model more efficiently, we develop a decomposition algorithm that can handle nonconvex subproblems. Our extensive experiments on a realistic NYISO data set show that the risk-aware model protects the consumers from potential high costs caused by adverse circumstances.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 4","pages":"536-551"},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810697","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
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 : 2024-09-12 DOI: 10.1109/TEMPR.2024.3448673
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引用次数: 0
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 : 2024-09-12 DOI: 10.1109/TEMPR.2024.3448669
{"title":"IEEE Transactions on Energy Markets, Policy, and Regulation Information for Authors","authors":"","doi":"10.1109/TEMPR.2024.3448669","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3448669","url":null,"abstract":"","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 3","pages":"C3-C3"},"PeriodicalIF":0.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10679535","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Blank Page 空白页
IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-09-12 DOI: 10.1109/TEMPR.2024.3448671
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引用次数: 0
Game-Based Feedback Control Design Toward Dynamic Energy Market 基于游戏的动态能源市场反馈控制设计
IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-09-03 DOI: 10.1109/TEMPR.2024.3454234
Yingzhe Jia;Yiliang Li;Wei Qiu;Long Chen;Kaiqi Sun;Yuying Zhang;Heung-Wing Joseph Lee;Jun-e Feng;Vladimir Terzija
{"title":"Game-Based Feedback Control Design Toward Dynamic Energy Market","authors":"Yingzhe Jia;Yiliang Li;Wei Qiu;Long Chen;Kaiqi Sun;Yuying Zhang;Heung-Wing Joseph Lee;Jun-e Feng;Vladimir Terzija","doi":"10.1109/TEMPR.2024.3454234","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3454234","url":null,"abstract":"In the modern power grids, the energy market has been developing rapidly, along with the growth of multi-energy combined tradings. Consequently, studies of interactions behaviours between various agents (e.g., game theory) in the energy market becomes prevalent to properly analyze and regulate the energy market. However, most of existing works have been focusing on the equilibria analysis of static games, and little works have been done regarding designing feedback control on dynamic games, particularly when the system dynamics changes under disturbances. In this paper, a novel game-based feedback control design method is proposed using semi-tensor product (STP) of matrices. The state-space equations of the dynamic game is firstly derived considering the decision logics and interactive correlations between various agents in the energy market. Then, a novel set of mathematical derivations has been proposed to implement control on some agents such that the price of the energy market can be regulated despite of randomly changing states and potential disturbances to the decision making. Finally, a simulated energy market using the proposed STP game-based control is demonstrated, where the results are discussed and the effectiveness of the proposed method is validated.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 4","pages":"561-569"},"PeriodicalIF":0.0,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810692","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
A Market-Clearing-Based Sensitivity Model for Locational Marginal and Average Carbon Emission 基于市场出清的区位边际和平均碳排放敏感性模型
IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-06-21 DOI: 10.1109/TEMPR.2024.3411531
Zelong Lu;Lei Yan;Jianxue Wang;Chongqing Kang;Mohammad Shahidehpour;Zuyi Li
{"title":"A Market-Clearing-Based Sensitivity Model for Locational Marginal and Average Carbon Emission","authors":"Zelong Lu;Lei Yan;Jianxue Wang;Chongqing Kang;Mohammad Shahidehpour;Zuyi Li","doi":"10.1109/TEMPR.2024.3411531","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3411531","url":null,"abstract":"This letter proposes a market-clearing-based locational marginal carbon emission (LMCE) metric to assess the marginal carbon emission effect of nodal load demand. Unlike the prevalent carbon emission flow (CEF) method that relies on a hypothetical power-flow tracking process, the proposed LMCE metric depends on a novel sensitivity analysis of market-clearing results, capable of revealing both energy-dependent and network-dependent impacts on emissions. Additionally, we introduce a locational average carbon emission (LACE) metric, derived from LMCE, to effectively measure the general emission effect. It offers insights into demand-side carbon emission effects, such as a negative LMCE and LACE indicating emission reduction even as load increases. It can also prevent excessive demand-side emission allocations. Overall, the proposed method provides a clear perspective for the ongoing decarbonization policies.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 4","pages":"579-582"},"PeriodicalIF":0.0,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810696","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
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