IEEE Transactions on Energy Markets, Policy and Regulation最新文献_第6页

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 : 2024-06-13 DOI: 10.1109/TEMPR.2024.3404693

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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 : 2024-06-13 DOI: 10.1109/TEMPR.2024.3404689

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IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-06-13 DOI: 10.1109/TEMPR.2024.3404695

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Multi-Objective Transmission Expansion: An Offshore Wind Power Integration Case Study 多目标输电扩展：海上风电集成案例研究

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-04-18 DOI: 10.1109/TEMPR.2024.3390760

Saroj Khanal;Christoph Graf;Zhirui Liang;Yury Dvorkin;Burçin Ünel

{"title":"Multi-Objective Transmission Expansion: An Offshore Wind Power Integration Case Study","authors":"Saroj Khanal;Christoph Graf;Zhirui Liang;Yury Dvorkin;Burçin Ünel","doi":"10.1109/TEMPR.2024.3390760","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3390760","url":null,"abstract":"Despite ambitious offshore wind targets in the U.S. and globally, offshore grid planning guidance remains notably scarce, contrasting with well-established frameworks for onshore grids. This gap, alongside the increasing penetration of offshore wind and other clean-energy resources in onshore grids, highlights the urgent need for a coordinated planning framework. Our paper describes a multi-objective, multistage generation, storage and transmission expansion planning model to facilitate efficient and resilient large-scale adoption of offshore wind power. Recognizing regulatory emphasis and, in some cases, requirements to consider externalities, this model explicitly accounts for negative externalities: greenhouse gas emissions and local emission-induced air pollution. Utilizing an 8-zone ISO-NE test system and a 9-zone PJM test system, we explore grid expansion sensitivities such as impacts of optimizing Points of Interconnection (POIs) versus fixed POIs, negative externalities, and consideration of extreme operational scenarios. Our results indicate that accounting for negative externalities necessitates greater upfront investment in clean generation and storage (balanced by lower expected operational costs). Optimizing POIs could significantly reshape offshore topology or POIs, and lower total cost. Finally, accounting for extreme operational scenarios typically results in greater operational costs and sometimes may alter onshore line investment.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 4","pages":"519-535"},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810693","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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Probabilistic Multi-Product Trading of Hydro Power Plants in Sequential Intraday and Frequency-Regulation Markets 连续盘中和调频市场中水电站的概率多产品交易

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-04-16 DOI: 10.1109/TEMPR.2024.3388959

Saeed Mohammadi;Abolfazl Khodadadi;Priyanka Shinde;Evelin Blom;Mohammad Reza Hesamzadeh;Lennart Söder

{"title":"Probabilistic Multi-Product Trading of Hydro Power Plants in Sequential Intraday and Frequency-Regulation Markets","authors":"Saeed Mohammadi;Abolfazl Khodadadi;Priyanka Shinde;Evelin Blom;Mohammad Reza Hesamzadeh;Lennart Söder","doi":"10.1109/TEMPR.2024.3388959","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3388959","url":null,"abstract":"With the increasing integration of power plants into the frequency-regulation markets, the importance of optimal trading has grown substantially. This paper conducts an in-depth analysis of their optimal trading behavior in sequential day-ahead, intraday, and frequency-regulation markets. We introduce a probabilistic multi-product optimization model, derived through a series of transformation techniques. Additionally, we present two reformulations that re-frame the problem as a mixed-integer linear programming problem with uncertain parameters. Various aspects of the model are thoroughly examined to observe the optimal multi-product trading behavior of hydro power plant assets, along with numerous case studies. Leveraging historical data from Nordic electricity markets, we construct realistic scenarios for the uncertain parameters. Furthermore, we then proposed an algorithm based on the No-U-Turn sampler to provide probability distribution functions of cleared prices in frequency-regulation and day-ahead markets. These distribution functions offer valuable statistical insights into temporal price risks for informed multi-product optimal-trading decisions.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 4","pages":"449-464"},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10502309","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810691","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}

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Modeling and Analyzing the Effect of Human Preferences on a Local Electricity Market 模拟和分析人类偏好对当地电力市场的影响

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-04-10 DOI: 10.1109/TEMPR.2024.3387270

Jens Hönen;Sjoerd C. Doumen;Phuong Nguyen;Johann L. Hurink;Bert Zwart;Koen Kok

{"title":"Modeling and Analyzing the Effect of Human Preferences on a Local Electricity Market","authors":"Jens Hönen;Sjoerd C. Doumen;Phuong Nguyen;Johann L. Hurink;Bert Zwart;Koen Kok","doi":"10.1109/TEMPR.2024.3387270","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3387270","url":null,"abstract":"Local electricity markets (LEMs) have progressed significantly in recent years, but a research gap exists in understanding the influence of human preferences on the effectiveness of LEMs when home energy management systems (HEMSs) are involved. Motivated by this, this work aims to model and integrate human preferences into a HEMS, bridging the gap between end-participant and LEM. A sensitivity analysis of the parameter choices of the HEMS and their impact on the performance and outcomes of a LEM is done. Hereby, a behavior model is used to formulate the preferences and motives of households within a LEM in a bottom-up approach. Various distributed energy resources are modeled and controlled via a HEMS, allowing households to input their preferences and motives to output a tailor-made bidcurve for the LEM. A sensitivity analysis reveals that different preference settings result in different consumption profiles, which to a large extent align with the preferences. In addition, the importance of aligning market mechanisms and steering signals with the participants' goals is highlighted.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 2","pages":"265-275"},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10496199","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141319608","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}

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Probabilistic Prequalification Scheme of a Distribution System Operator for Supporting Market Participation of Multiple Distributed Energy Resource Aggregators 支持多个分布式能源聚合商参与市场的配电系统运营商概率资格预审方案

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-04-10 DOI: 10.1109/TEMPR.2024.3386722

Chang Min Jeong;Hee Seung Moon;Seung Wan Kim

{"title":"Probabilistic Prequalification Scheme of a Distribution System Operator for Supporting Market Participation of Multiple Distributed Energy Resource Aggregators","authors":"Chang Min Jeong;Hee Seung Moon;Seung Wan Kim","doi":"10.1109/TEMPR.2024.3386722","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3386722","url":null,"abstract":"This paper addresses the need for distribution system operators to effectively manage uncertainties related to distributed energy resources. We propose a probabilistic approach using Polynomial Chaos Expansion, allowing the operator to balance economic efficiency with system reliability by setting a pre-determined acceptable violation probability. This approach provides efficient computation and high accuracy in the representation of uncertainties. Moreover, we introduce a framework for integrating the capability of distributed energy resources aggregators to manage uncertainties through the uncertainty band commodity. This allows these aggregators to bid for both energy and a specified uncertainty range, thereby contributing to their active role in the management of system uncertainties. Our methodology fairly distributes responsibility for constraint violations among various stakeholders by employing two allocation strategies: one based on Shapley Value and another based on sensitivity factors. The proposed system significantly improves the overall decision-making process by considering both economic and reliability factors within the prequalification process of distribution system operator.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 4","pages":"465-475"},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810687","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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A Stacking Framework for Online Locational Marginal Price Prediction Considering Concept Drift 考虑概念漂移的在线位置边际价格预测堆叠框架

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-04-08 DOI: 10.1109/TEMPR.2024.3386127

Hanning Mi;Qingxin Li;Ming Shi;Sijie Chen;Yutong Li;Yiyan Li;Zheng Yan

{"title":"A Stacking Framework for Online Locational Marginal Price Prediction Considering Concept Drift","authors":"Hanning Mi;Qingxin Li;Ming Shi;Sijie Chen;Yutong Li;Yiyan Li;Zheng Yan","doi":"10.1109/TEMPR.2024.3386127","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3386127","url":null,"abstract":"Concept drift means the statistical properties of the variable that a predictor is predicting change over time in unforeseen ways. Existing research solves concept drift in the locational marginal price (LMP) prediction process by updating predictors in online approaches. However, new data is indiscriminately utilized to update predictors in these methods. The new property changes can not be accurately captured when concept drift occurs. This paper proposes a stacking framework for online LMP prediction considering the concept drift phenomenon. Long short-term memory networks and graph attention networks are selected as the base predictors to capture the spatio-temporal dependencies in LMPs. When concept drift occurs, data with drift selected by the adaptive windowing algorithm is used to update the stacked predictor. Numerical results based on real data from Australian Energy Market Operator and Midcontinent Independent System Operator validate the effectiveness of the proposed framework. The comparative experiments prove that attempts to change or simplify the proposed framework can undermine prediction accuracy.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 2","pages":"254-264"},"PeriodicalIF":0.0,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141319611","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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A Fair and Self-Sufficient Value Stack-Based Compensation Scheme for DERs Enhancing Network Performance 基于价值叠加的公平且自足的 DER 补偿计划，用于提高网络性能

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-04-03 DOI: 10.1109/TEMPR.2024.3384833

Shilpa Bindal;Abhijit R. Abhyankar

{"title":"A Fair and Self-Sufficient Value Stack-Based Compensation Scheme for DERs Enhancing Network Performance","authors":"Shilpa Bindal;Abhijit R. Abhyankar","doi":"10.1109/TEMPR.2024.3384833","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3384833","url":null,"abstract":"Optimal scheduling of smart inverter-assisted distributed energy resources (DERs) benefits power system operation and planning entities. The comprehensive evaluation and fair allocation of these co-existing benefits should be the prime criteria for designing a compensation scheme. This work focuses on classifying, quantifying, and allocating multiple benefits extracted through phase-specific optimal power injection in distribution networks. This paper proposes a fair and self-sufficient compensation scheme that stacks uniquely assigned benefit components among the DERs. Using a rectangular branch-current component-based approach, this paper proposes a method to quantify the cooperative optimal power dispatch benefits, broadly classified as capacity deferral and operational benefits. In addition, this work employs the unitary participation-based Aumann Shapley value method to allocate the joint-coalitional benefits fairly among various DERs. By implementing the proposed scheme on the IEEE European distribution network for a long time horizon, various attributes of the proposed scheme are analyzed. The proposed compensation scheme provides the distribution system operator with a financial tool to stimulate DERs' coordination in the optimal power delivery action.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 3","pages":"423-435"},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142173943","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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Grid-Aware Tradeoff Analysis for Outage Mitigation Microgrids at Emerging Resilience Hubs 新兴弹性枢纽停电缓解微电网的电网感知权衡分析

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-04-01 DOI: 10.1109/TEMPR.2024.3383369

Arnav Gautam;Destenie Nock;Amritanshu Pandey

{"title":"Grid-Aware Tradeoff Analysis for Outage Mitigation Microgrids at Emerging Resilience Hubs","authors":"Arnav Gautam;Destenie Nock;Amritanshu Pandey","doi":"10.1109/TEMPR.2024.3383369","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3383369","url":null,"abstract":"Sustained power outages are growing in scale and number primarily due to i) the increasing number and intensity of disasters and ii) decarbonization- and electrification-related grid changes. Outage mitigation technologies (e.g., backup diesel generators, and solar panels) increasingly provide vital electricity access during disasters. However, their adoption is inequitable due to individual- or community-level barriers and historic underinvestment in certain communities. We postulate that community-based Resilience Hubs (RHs), which are being increasingly deployed to provide on-site services during disasters, can be expanded to address this inequity by supplying backup power to vulnerable communities through islanded operations. To that end, we present Grid-Aware Tradeoff Analysis (GATA) framework to identify the best backup power systems for expanded RHs. To include technical, economic, and social facets in the framework, we will use three-phase power flow (TPF) and multi-criteria decision analysis (MCDA). TPF will enforce the electrical feasibility of islanded RH operation, and MCDA will quantify the economic, environmental, and equity-weighted outage mitigation performance. As a use case for GATA, we will evaluate multiple representative RHs in Richmond, California, and highlight the non-dominated systems for the electrically feasible RHs. We show the value of GATA's detailed grid simulation, its ability to quantify tradeoffs across scenarios, and its possible extensions.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 2","pages":"186-199"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141319609","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