{"title":"Design of Multi-Settlement Electricity Markets Considering Demand Response and Battery Energy Storage Systems Participation","authors":"Anshul Goyal;Kankar Bhattacharya","doi":"10.1109/TEMPR.2024.3350510","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3350510","url":null,"abstract":"This article presents a novel framework with new mathematical models that integrate Demand Response (DR) and Battery Energy Storage Systems (BESSs) simultaneously in a Locational Marginal Price (LMP)-based Multi-Settlement Market (MSM), i.e. a coordinated Day-Ahead Market (DAM) and Real-Time Market (RTM). A new set of generator ramping constraints, developed from the DAM settlement, and referred to as Day-Ahead Load-Following (DALF) Ramp, are included in the RTM auction model. The performance of the mathematical models are tested on the IEEE 24-bus Reliability Test System (RTS) by carrying out various case studies, scenarios, uncertainty and sensitivity analyses. Effect of DR and BESS characteristics such as level of participation, initial state-of-charge (SOC), discharge rate, etc. on market settlement is examined. The results demonstrate the merits of the proposed framework, and the impact of the DALF Ramp, DR and BESS inclusion in the MSM auction models on marginal prices, market settlement and system operation. It is noted that the system with DR and BESS in the MSM hedges real-time prices and effectively supports system operation during uncertain events such as line and generators outages, changes in demand or in generation from renewables.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 2","pages":"226-239"},"PeriodicalIF":0.0,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141319671","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}
{"title":"Economic Value of Energy Storage Systems: The Influence of Ownership Structures","authors":"Nan Gu;Chenye Wu;Daniel S. Kirschen","doi":"10.1109/TEMPR.2023.3349134","DOIUrl":"https://doi.org/10.1109/TEMPR.2023.3349134","url":null,"abstract":"Owners of renewable energy resources (RES) often choose to invest in energy storage for joint operation with RES to maximize profitability. Standalone entities also invest in energy storage systems and use them for arbitrage. In this paper we examine how these two forms of ownership affect the value of energy storage. Our study reveals that in a perfectly competitive market, energy storage holds equal value for both types of owners if they are risk-neutral. However, when agents are able to exert market power or exhibit risk aversion, the value of energy storage can differ between the two ownership structures. Additionally, we discuss how differential pricing and market barriers influence the value of energy storage. In the numerical studies, we explore how factors such as seasonal price volatility, RES types, and the siting of energy storage influence investment decisions.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 3","pages":"313-327"},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174025","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}
Qingwen Pang;Vincenzo Trovato;Antonio De Paola;Goran Strbac
{"title":"Market-Based Operation of Interconnectors in a Multi-Area Power Network With Meshed Topology","authors":"Qingwen Pang;Vincenzo Trovato;Antonio De Paola;Goran Strbac","doi":"10.1109/TEMPR.2023.3348984","DOIUrl":"https://doi.org/10.1109/TEMPR.2023.3348984","url":null,"abstract":"The significant reduction in the system inertial response due to the increasing penetration of converter-interfaced renewable generators may reduce the ability to safely control post-fault frequency dynamics. Larger volumes of flexible ancillary services may be required to ensure system stability. Part of these additional regulation resources may be procured from other power systems by means of existing and new interconnectors. The paper investigates this framework by assessing the techno-economic benefits of interconnectors that operate in a multi-area power network and whose capacity can be utilized for simultaneous exchange of power and fast-frequency services. Two different operational approaches are considered: a traditional centralized allocation of the interconnectors’ capacity and an alternative market-based paradigm where price-making interconnectors act as profit-seeking agents that aim to maximize their collected congestion surplus. The paper provides new fundamental results on the benefits of a multi-purpose allocation of the interconnectors’ capacity, directly comparing the operational choices and the interactions between centrally-operated and self-interested interconnectors, and quantifying the impact of the latter on the overall social welfare of the system. This novel methodology is applied to a model of an interconnected Great Britain-France-Ireland multi-area system, quantifying the potential benefits of multi-service interconnectors and assessing the impact of their self-interested scheduling within a realistic framework that considers power systems of different sizes and characteristics.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 1","pages":"79-91"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140135202","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}
Shuangyuan Wang;Ran Li;Qiuyang Ma;Chenghong Gu;Furong Li
{"title":"Unit Equivalent Distribution Network Pricing for Electricity Retail Market","authors":"Shuangyuan Wang;Ran Li;Qiuyang Ma;Chenghong Gu;Furong Li","doi":"10.1109/TEMPR.2023.3347627","DOIUrl":"https://doi.org/10.1109/TEMPR.2023.3347627","url":null,"abstract":"Most existing network pricing methodologies are designed for retailers and large customers. With the development of responsive technologies, domestic customers may have very different impacts on networks cost, thus calling for a cost-reflective network pricing method for mass customers in the retail market. The naive volumetric and marginal pricing methods may cause issues of inequality and mis-signaling. Inspired by the Passenger Car Equivalent (PCE) in transportation economics, this paper proposes a Unit Home Equivalent (UHE) pricing to reflect the compatibility between electricity networks and a certain type of users. The method is validated against the Distribution Use of System (DUoS) charging methodology in the U.K. by using real network and household data. The results show the proposed pricing can encourage existing customers to adjust energy usage behaviours and guide new customers and EVs to the right locations.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 2","pages":"276-288"},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141319670","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}
{"title":"2023 Index IEEE Transactions on Energy Markets, Policy, and Regulation Vol.1","authors":"","doi":"10.1109/TEMPR.2023.3344329","DOIUrl":"10.1109/TEMPR.2023.3344329","url":null,"abstract":"","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"1 4","pages":"549-558"},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10368212","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139020062","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}
Dongwei Zhao;Vladimir Dvorkin;Stefanos Delikaraoglou;Alberto J. Lamadrid L.;Audun Botterud
{"title":"Uncertainty-Informed Renewable Energy Scheduling: A Scalable Bilevel Framework","authors":"Dongwei Zhao;Vladimir Dvorkin;Stefanos Delikaraoglou;Alberto J. Lamadrid L.;Audun Botterud","doi":"10.1109/TEMPR.2023.3344126","DOIUrl":"https://doi.org/10.1109/TEMPR.2023.3344126","url":null,"abstract":"This work proposes an uncertainty-informed bid adjustment framework for integrating variable renewable energy sources (VRES) into electricity markets. This framework adopts a bilevel model to compute the optimal VRES day-ahead bids. It aims to minimize the expected system cost across day-ahead and real-time stages and approximate the cost efficiency of the stochastic market design. However, solving the bilevel optimization problem is computationally challenging for large-scale systems. To overcome this challenge, we introduce a novel technique based on strong duality and McCormick envelopes, which relaxes the problem to a linear program, enabling large-scale applications. The proposed bilevel framework is applied to the 1576-bus NYISO system and benchmarked against a myopic strategy, where the VRES bid is the mean value of the probabilistic power forecast. Results demonstrate that, under high VRES penetration levels (e.g., 40%), our framework can significantly reduce system costs and market-price volatility, by optimizing VRES quantities efficiently in the day-ahead market. Furthermore, we find that when transmission capacity increases, the proposed bilevel model will still reduce the system cost, whereas the myopic strategy may incur a much higher cost due to over-scheduling of VRES in the day-ahead market and the lack of flexible conventional generators in real time.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 1","pages":"132-145"},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140135282","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}
{"title":"The Impacts of Retail Tariff Design on Electric Vehicle Charging for Commercial Customers","authors":"Phillippe K. Phanivong;Duncan S. Callaway","doi":"10.1109/TEMPR.2023.3343631","DOIUrl":"https://doi.org/10.1109/TEMPR.2023.3343631","url":null,"abstract":"Power engineers have examined the potential impacts on the electric grid of high electric vehicle (EV) adoption, while energy economists have shown issues with modern electricity retail tariff design. However, little work has shown how customer decisions regarding their tariff and optimizing EV charging costs could affect the utility and the customer. If commercial customers can optimize their charging profile, how do different tariff structures affect local distribution system voltage, utility cost recovery, and customer bills? To answer this question, we model commercial customers optimizing their EV charging to minimize costs using real-world tariffs. Then, we model the voltage impacts of customers charging EVs on a realistic distribution feeder. Finally, we calculate the costs of EV charging for customers and the distribution utility. We find that current tariff designs do not support large-scale deployments of EVs without system upgrades or additional control measures. We also find that customers can reduce costs nearly 15% by switching retail tariffs, leading to a potential revenue gap for the utility. Finally, we show that new power subscription-based tariffs are less efficient than traditional demand charge-based tariffs, and instead, designing tariffs for load optimization can reduce costs for both the customer and the utility.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140135280","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}
{"title":"IEEE Power & Energy Society Information","authors":"","doi":"10.1109/TEMPR.2023.3333487","DOIUrl":"https://doi.org/10.1109/TEMPR.2023.3333487","url":null,"abstract":"","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"1 4","pages":"C2-C2"},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10359324","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138633931","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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{"title":"IEEE Transactions on Energy Markets, Policy, and Regulation Information for Authors","authors":"","doi":"10.1109/TEMPR.2023.3333481","DOIUrl":"https://doi.org/10.1109/TEMPR.2023.3333481","url":null,"abstract":"","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"1 4","pages":"C3-C3"},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10359351","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138633932","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}