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虚拟电厂参与能量与辅助服务市场的协同优化策略 被引量:1

Collaborative Optimization Strategy for Virtual Power Plant Participating in Energy and Ancillary Service Market
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摘要 虚拟电厂作为一种具备储能特性的灵活性资源,虽然其在配合电网削峰填谷、消纳新能源等方面的作用越发重要,但其目前在市场运营上缺乏经济性及高效性,直接导致其参与市场积极性不足。鉴于此,提出一种虚拟电厂参与电能量市场与辅助服务市场协同工作策略。首先,基于现货市场电价与虚拟电厂的聚合情况,确定其参与市场各时段策略;其次,以虚拟电厂收益最大化为目标,采用动态规划方法构建多时间尺度下虚拟电厂参与现货电能量-调频市场协同优化模型;最后,通过仿真分析对比虚拟电厂只参与单独市场与联合优化情况下的收益及利用率,并使用shapely值法对参与虚拟电厂聚合的各类资源进行收益分摊分析,验证所提方案的可行性及有效性。 As a flexible resource with energy storage characteristics,virtual power plant(VPP)is becoming more and more important in cooperating with the grid for peak load shaving and new energy accommodation.However,its poor economy and efficiency in market operation directly leads to its lack of enthusiasm in participation in the market.In view of this,this paper proposes a collaborative work strategy for VPP participating in electricity energy market and auxiliary services market.Firstly,based on the spot market electricity price and the aggregation of VPP,the strategy for the VPP participating in the market in each time period is determined.Secondly,taking the maximum revenue of VPP as the goal,the dynamic programming method is used to establish a collaborative optimization model of VPP participating in the spot electricity energy-FM market under multi-time scale.Finally,through simulation,we analyzed and compared the revenue and utilization rate of the VPP participating in the separate market and the joint optimization.The shapely value method is used to analyze the revenue sharing of various resources participating in the aggregation of the VPP,so as to validate the feasibility and validity of the scheme proposed in this paper.
作者 周挺 谭玉东 孙晋 文明 廖菁 李杨 刘巩 刘敦楠 ZHOU Ting;TAN Yudong;SUN Jin;WEN Ming;LIAO Jing;LI Yang;LIU Gong;LIU Dunnan(Economic and Technical Research Institute of State Grid Hunan Electric Power Co.,Ltd.,Changsha 410007,China;Hunan Key Laboratory of Energy Internet Supply-Demand and Operation,Changsha 410007,China;State Grid Hunan Electric Power Co.,Ltd.,Changsha 410029,China;Department of Economics and Management,North China Electric Power University,Beijing 102206,China;China Energy Research Society,Beijing 100045,China)
出处 《中国电力》 CSCD 北大核心 2024年第1期61-70,共10页 Electric Power
基金 湖南省科技创新平台与人才计划(2019TP1053) 国网湖南省电力有限公司科技项目(电力现货市场环境下需求响应交易机制及关键技术研究,5216A2220007)。
关键词 虚拟电厂 能量市场 辅助服务市场 协同优化 动态规划 virtual power plant energy markets ancillary services market collaborative optimization dynamic programming
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