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DOI10.1016/j.enpol.2021.112339
Designing Pareto optimal electricity retail rates when utility customers are prosumers
Saumweber A.; Wederhake L.; Cardoso G.; Fridgen G.; Heleno M.
发表日期2021
ISSN03014215
卷号156
英文摘要Electric retail rate design is relevant to utilities, customers, and regulators as retail rates impact the utility's revenue as well as the customers' electricity bills. In California, regulators approve rate proposals by privately owned vertical integrated utilities. Approval, however, is subject to compliance with multiple, potentially conflicting objectives such as economic or environmental objectives. Additionally, retail rates are price signals that affect how customers use electricity services. When utility customers change their usage, they also impact the ratemaking objectives to which rates have been designed. This suggests a feedback loop, which is particularly pronounced with prosumers, as they can systematically optimize their interactions with the electricity system. Prevalent ratemaking methods may not deliver retail rates that are optimal for multiple objectives when customers are prosumers. We propose a novel ratemaking method that formalizes the problem of designing retail rates as a multi-criteria optimization problem and accounts for prosumer reactions through a simulation-based optimization approach. Through a fictive case study, we found that the resulting Pareto frontiers are useful in recognizing and balancing tradeoffs among conflicting ratemaking objectives. Additionally, our results indicate that prevailing retail rates in California are not Pareto optimal. © 2021 The Authors
关键词DER-CAMPareto optimizationProsumerRate caseRatemakingUtility
英文关键词Pareto principle; Regulatory compliance; Sales; California; DER-CAM; Electricity bill; Pareto-optimal; Pareto-optimization; Prosumer; Rate case; Ratemaking; Retail rate design; Utility; Multiobjective optimization
语种英语
来源期刊Energy Policy
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/205326
作者单位Lawrence Berkeley National Laboratory 90R1121, Cyclotron Road, Berkeley, CA 94720, United States; Project Group Business and Information Systems Engineering of the Fraunhofer FIT, Universitatsstraße 12, 86159 Augsburg / Wittelsbacherring 10, Bayreuth, 95444, Germany; FIM Research Center, University of Bayreuth, Wittelsbacherring 10, Bayreuth, 95444, Germany; SnT – Interdisciplinary Center for Security, Reliability and Trust, University of Luxembourg1855, Luxembourg
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Saumweber A.,Wederhake L.,Cardoso G.,et al. Designing Pareto optimal electricity retail rates when utility customers are prosumers[J],2021,156.
APA Saumweber A.,Wederhake L.,Cardoso G.,Fridgen G.,&Heleno M..(2021).Designing Pareto optimal electricity retail rates when utility customers are prosumers.Energy Policy,156.
MLA Saumweber A.,et al."Designing Pareto optimal electricity retail rates when utility customers are prosumers".Energy Policy 156(2021).
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