A matrix game-based coordinated optimisation method of distribution networks with multiple flexible resources

IF 1.6 Q4 ENERGY & FUELS
Yingdong An, Yixin Liu, Li Guo, Xinchen Li, Xiangjun Li, Xuecui Jia, Tengxin Wang, Min Zhang
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Abstract

The ‘Electric energy substitution’ project in rural areas of northern China aims to replace coal-fired heating with electric heating. However, this could potentially lead to congestion problems on the local distribution networks (DNs) due to an increase in heating loads. Instead of expanding the lines, flexible resources such as microgrids (MGs) and heat pumps (HPs) could provide auxiliary services in a more cost-effective manner. A bi-level optimisation model that coordinates DNs, MGs, and HP clusters is proposed to address this issue. In the lower level, MGs and HP clusters provide auxiliary services through competitive bidding to maximise their own income over multiple periods, considering a series of technical operational constraints and comfort constraints. In the upper level, DNs clear the market based on the bidding information to minimise its operational costs while guaranteeing network constraints. The bi-level optimisation model is formulated as a multi-agent matrix game problem, and the Win or Learn Fast-Policy Hill-climbing algorithm is used to achieve fast market equilibrium in a decentralised manner. Simulation results demonstrate that the proposed method can improve the revenue of MGs by up to 2.6 times compared to the single period matrix game method, and reduce the convergence time by up to 81.3% compared to the multi-agent Q-learning method.

Abstract Image

基于矩阵博弈的多灵活资源配电网络协调优化方法
中国北方农村地区的 "电能替代 "项目旨在用电取暖替代燃煤取暖。然而,由于供暖负荷的增加,这有可能导致当地配电网(DN)出现拥堵问题。微电网(MG)和热泵(HP)等灵活资源可以以更具成本效益的方式提供辅助服务,而不是扩大线路。为解决这一问题,我们提出了一个协调 DN、MG 和 HP 集群的双层优化模型。在下层,MG 和 HP 集群通过竞标提供辅助服务,以在多个时段内实现自身收入最大化,同时考虑一系列技术操作限制和舒适度限制。在上层,DN 根据竞标信息清算市场,在保证网络约束的前提下使其运营成本最小化。该双层优化模型被表述为一个多代理矩阵博弈问题,并采用 Win or Learn Fast-Policy Hill-climbing 算法以分散方式快速实现市场均衡。仿真结果表明,与单期矩阵博弈方法相比,所提出的方法可提高 MG 收入达 2.6 倍,与多代理 Q-learning 方法相比,收敛时间缩短达 81.3%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IET Energy Systems Integration
IET Energy Systems Integration Engineering-Engineering (miscellaneous)
CiteScore
5.90
自引率
8.30%
发文量
29
审稿时长
11 weeks
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