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含广义储能虚拟电厂电–气–热三阶段协同优化调度 被引量:22

Three-stage Collaborative Optimal Scheduling of Electricity-gas-heat in Virtual Power Plant With Generalized Energy Storage
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摘要 分析了虚拟电厂参与日前阶段、日中阶段以及实时阶段的三阶段调度优化流程,并根据广义储能中各部分设备响应速度和时间进行建模,以此为依据建立含广义储能虚拟电厂三阶段调度模型。在日前阶段,采用C&CG处理风光不确定性,建立有效快捷的电动汽车充放电管理模型,对广义储能中固定电热储能以及电动汽车充放电进行优化,进行24h整体优化;在日中阶段,利用替代型负荷之间的相互转换以及燃气轮机、锅炉的出力调整,对虚拟电厂调度计划逐个时段进行再调整;在实时阶段,建立时间解耦的空调集群模型,利用其快速响应特点,以半小时为步长,在实时风光场景下进行偏差平抑。仿真算例验证了所构模型的有效性,结果表明:通过多阶段调度以及广义储能的协同作用,可以有效降低虚拟电厂运行成本以及大幅提高虚拟电厂的供能稳定性。 The paper analyzes the virtual power plant’s participation in the three-phase scheduling optimization process of the day-ahead,intraday,and real-time phases.Besides,it models the response speed and time of each part of the generalized energy storage,with which a virtual power plant with generalized energy storage three-stage scheduling model is established.In the day-ahead stage,using the C&CG to deal with wind and solar uncertainty.an effective and efficient electric vehicle charging and discharging management model is built to optimize the fixed electric thermal energy storage and the electric vehicle charging and discharging in the generalized energy storage,realizing a 24-hour overall optimization;In the intraday phase,adopting the mutual conversion between the alternative loads and the adjustment of the output of gas turbines and boilers to re-adjust the virtual power plant scheduling plan time by time;In the real-time stage,a time-decoupled air-conditioning cluster model is established,with whose rapid response characteristics and taking half an hour as the step length,the deviation is smoothed in the real-time scenery.The simulation example verifies the effectiveness of the purchased model.The results show that through the synergy of the multi-stage scheduling and the generalized energy storage,the operating costs of the virtual power plant can be effectively reduced and the energy supply stability of the virtual power plant can be greatly improved.
作者 王瑞东 吴杰康 蔡志宏 刘国新 张宏业 蔡锦建 WANG Ruidong;WU Jiekang;CAI Zhihong;LIU Guoxin;ZHANG Hongye;CAI Jinjian(School of Automation,Guangdong University of Technology,Guangzhou 510006,Guangdong Province,China)
出处 《电网技术》 EI CSCD 北大核心 2022年第5期1857-1866,共10页 Power System Technology
基金 广东省基础与应用基础研究基金区域联合基金项目-粤港澳研究团队项目(2020B1515130001) 广东省科技计划项目(2020A050515003) 广州市科技计划项目(202002030463)。
关键词 虚拟电厂 广义储能 电–气–热能 三阶段协同优化调度 电动汽车 替代型响应负荷 空调集群 virtual power plant generalized energy storage electricity-gas-heat energy three-stage collaborative optimization scheduling electric vehicles alternative response load clustering air conditioning
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