电力建设2024，Vol.45Issue(10)：146-157,12.DOI:10.12204/j.issn.1000-7229.2024.10.014
多元零售市场环境下电力聚合商有功-无功协同优化竞标策略
Active and Reactive Power Collaborative Bidding Strategy for the Power Aggregator in Multiple Categories of Retail Markets
摘要
Abstract
With the promotion of power system reforms and development of the power market,the transaction mechanism and bidding strategies of retailers in the retail power market composed of various types of resources needs investigation.Considering this,a bi-level optimization-based active and reactive power collaborative bidding model for power retailers in the retail market environment is proposed.This model considers the respective interests of the retail market operators and power retailers and also the secure and economic operation constraints of power systems.At the upper level,the power retailer aims to develop an optimal bidding strategy to maximize the operational benefits by considering various controllable resources.At the lower level,the market owner conducts the retail market-clearing process to minimize the overall system cost by considering the network topology and power flow security.The simulation results,validated through real-world case studies,show that the model successfully aligns with the operational goals of both the retail market and the aggregators.Unlike traditional bidding methods that focus solely on the active power,this approach significantly improves the operational efficiency of the system.These findings offer important insights into the development of retail market operation models and bidding strategies for power aggregators.关键词
电力聚合商/零售市场/双层优化/竞标策略Key words
power aggregator/retail market/bi-level optimization/bidding strategy分类
信息技术与安全科学引用本文复制引用
孙勇,仪忠凯,李宝聚,时雨,徐英..多元零售市场环境下电力聚合商有功-无功协同优化竞标策略[J].电力建设,2024,45(10):146-157,12.基金项目
This work is supported by National Key R&D Program of China(No.2022YFB2404000)and Science and Technology Projects of the State Grid(No.SGJLJYOOGPJS2300038). 国家重点研发计划资助项目(2022YFB2404000) （No.2022YFB2404000）
国家电网公司科技项目(SGJLJYOOGPJS2300038) （SGJLJYOOGPJS2300038）
