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考虑需求响应和储能的风水火联合系统经济调度 被引量:9

Economic Dispatching of Wind-hydro-thermal Combined System Considering Demand Response and Energy Storage
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摘要 针对大规模风电并网对电力系统造成的威胁,通过充分考虑储能系统(energy storage system,ESS)与需求响应(demand response,DR)之间的有效配合,提出了一种计及ESS和DR的风水火联合电力系统经济调度模型。首先,模型将用电负荷划分为基础负荷及可调节性负荷,充分考虑了DR对可调节性负荷进行的精细化调整,有效地配合ESS装置运行,从而最小化电力系统运行总费用。其次,针对风电出力的不确定性,通过建立鲁棒优化模型确保模型具有可行解。最后,通过划分四种不同场景验证模型的有效性。仿真结果表明,考虑ESS和DR之间的互补特性后,在实现风电出力全额消纳的同时,电力系统有效地降低了运行总费用,减少了火电机组频繁启停,降低了火电机组出力的波动性。 In view of the threat of large-scale wind power integration to the power system,the effective coordination between the energy storage system(ESS)and the demand response(DR)was fully considered,and an economic dispatching model that including ESS and DR suitable for wind-hydro-thermal system was proposed.Firstly,the power load was divided into basic load and adjustable load.After the adjustable load was finely adjusted by DR,it could effectively cooperate with ESS device operation,so as to minimize the total cost of power system operation.Secondly,in view of the uncertainty of wind power output,a robust optimization model was established to ensure that the economic dispatching model had a feasible solution.Finally,the effectiveness of this economic dispatching model was verified by dividing four different scenarios.The simulation results show that while achieved full consumption of wind power output,with considered the complementary characteristics between ESS and DR,the total operating cost of the power system is effectively decreased.Meanwhile,the start-up and stop frequency of thermal power units is reduced,and the volatility of the output of thermal power units is also lowered accordingly.
作者 潘华 姚正 黄玲玲 梁作放 肖雨涵 PAN Hua;YAO Zheng;HUANG Ling-ling;LIANG Zuo-fang;XIAO Yu-han(School of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, China;School of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China;State Grid Shandong Electric Power Company Heze Power Supply Company, Heze 274000, China;State Grid Shanghai Electric Power Company Songjiang Power Supply Company, Shanghai 201600, China)
出处 《科学技术与工程》 北大核心 2021年第19期8039-8047,共9页 Science Technology and Engineering
基金 国家自然科学基金(51707112) 国家社会科学基金(19BGL003) 上海市哲学社会学基金(2019BGL002)。
关键词 储能系统 需求响应 风水火联合系统 风电消纳 鲁棒优化 energy storage system demand response wind-hydro-thermal combined system wind consumption robust optimization
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