Dynamics Analysis on Decision-making of Load Aggregator for Day-ahead Demand Response Market Bidding

被引：0
|
作者：
Bai Y. [1 ,2 ]
Liu X. [1 ,2 ]
Chen X. [1 ,2 ]
机构：
[1] School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing
[2] Jiangsu Provincial Integrated Energy Equipment and Integration International Joint Laboratory, Nanjing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2022年 / 46卷 / 24期
关键词：
delayed feedback control; demand response; dynamics; load aggregator (LA); market bidding;
D O I：
10.7500/AEPS20211007003
中图分类号：
学科分类号：
摘要：
The participation of load aggregators (LAs) in the demand response (DR) market is conducive to fully explore the flexible load resources on the residential side, which is of great significance for energy conservation and emission reduction. In order to study the bidding decision-making behavior of LAs participating in day-ahead DR market, a non-cooperative game dynamic system for the LA market bidding is constructed based on the bounded rational decision-making adjustment mechanism. Then, the stability of the equilibrium point for the dynamic system is analyzed based on the July stability criterion. Furthermore, according to the bifurcation, chaos and other dynamic characteristics of the system, a delayed feedback control method is used to control the chaos of the system. The dynamic characteristics of LA participating in DR market bidding decision-making are analyzed through numerical simulation. The results show that the decision-making adjustment strategy of LAs affects the market stability. When the market enters the chaotic state, the profit of LAs will be uncertain. However, the introduction of delayed feedback control can effectively stabilize the chaotic system into the Nash equilibrium state. © 2022 Automation of Electric Power Systems Press. All rights reserved.
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页码：95 / 103
页数：8
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