通过交互控制信号增强有源配电网公平性和安全性的框架

IF 5.6 2区 工程技术 Q2 ENERGY & FUELS
Hajar Abdolahinia , Morteza Aryani , Moein Moeini-Aghtaie , Mohammad Heidarizadeh , Inoccent Kamwa
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引用次数: 0

摘要

随着点对点(P2P)能源交易的发展,交易型能源市场(tem)面临着确保市场参与者公平接入上游电网和解决配电网限制等挑战。为了应对这些挑战,配电系统运营商(DSO)应该激励市场参与者为缓解这些挑战做出贡献。为此,本文提出了一个双层框架,其中DSO设计交互控制信号(TCSs)来影响市场参与者的行为。在该框架中,公平性、安全性和调峰信号在上层被引入,P2P能源交易在下层被实现。tcs的计算基于公平分配和安全网络运行约束的敏感性分析。结果表明,公平和网络安全的目标是同时实现的。此外,虽然市场参与者有效地为实现技术目标做出了贡献,但他们的隐私得到了保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Framework for enhancing fairness and security in active distribution networks via transactive control signals
With the development of peer-to-peer (P2P) energy trading, transactive energy markets (TEMs) face challenges such as ensuring fair access for market participants to the upstream grid and addressing limitations of distribution networks. To tackle these challenges, the distribution system operator (DSO) should incentivize market participants to contribute to their mitigation. To this end, this paper proposes a bi-level framework in which the DSO designs transactive control signals (TCSs) to influence the behavior of market participants. In this framework, fairness, security, and peak shaving signals are introduced at the upper level, while P2P energy trading is implemented at the lower level. The TCSs are calculated based on sensitivity analyses related to fair allocation and secure network operation constraints. As the results demonstrate, the goals of fairness and network security are achieved simultaneously. Moreover, while market participants effectively contribute to meeting technical objectives, their privacy is preserved.
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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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