动态定价和电力交换限制下不平衡配电网的社会福利最大化

IF 5.6 2区 工程技术 Q2 ENERGY & FUELS
Afshin Najafi-Ghalelou , Mohsen Khorasany , M.Imran Azim , Reza Razzaghi
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引用次数: 0

摘要

本文提出了一种两阶段的分布式能源与配电网双向电力交换管理框架。在第一阶段,框架优化和调度分布式电网运营,并设定动态电力交换价格。第二阶段侧重于网络约束管理。通过从固定电价转向动态时变电价,该框架鼓励参与者和配电网络以最低价格积极参与电力交换。拟议的框架旨在通过协调电力交换、动态消费价格和上网电价,实现社会福利最大化。它寻求优化所有相关方的参与,通过动态定价和灵活限制参与者与配电网络之间的电力交换水平,确保有效的系统管理。新的定价方案在有和没有以营利为目的的社区电池和公共充电站的情况下进行了测试,结果使整体社会福利提高了15.53% - 21.51%。结果表明,在不违反任何分销网络技术约束的情况下,参与者参与的增加提高了分销级市场的社会福利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social welfare maximization in unbalanced distribution networks under dynamic pricing and power exchange limits
This paper presents a two-stage framework to manage bidirectional power exchange between distributed energy resources (DER) and the distribution network. In the first stage, the framework optimizes and schedules DER operations and sets dynamic power exchange prices. The second stage focuses on network constraint management. By shifting from fixed tariffs to dynamic, time-varying pricing, the framework encourages active participation in power exchange among players and the distribution network at the lowest prices. The proposed framework aims to maximize social welfare by coordinating power exchanges, dynamic consumption prices and feed-in tariffs. It seeks to optimize the participation of all involved parties, ensuring effective system management through dynamic pricing and flexible limits on power exchange levels between players and the distribution network. The new pricing scheme is tested with and without profit-seeking community batteries and public charging stations, resulting in a 15.53 %–21.51 % improvement in overall social welfare. The results show that increased player participation enhances social welfare in distribution-level markets without violating any technical constraints of the distribution network.
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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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