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计及风电调频的备用容量滚动优化方法
引用本文:邢超,奚鑫泽,何廷一,李胜男,刘明群.计及风电调频的备用容量滚动优化方法[J].电力建设,2022,43(2):117-125.
作者姓名:邢超  奚鑫泽  何廷一  李胜男  刘明群
作者单位:云南电网有限责任公司电力科学研究院, 昆明市 650217
基金项目:国家自然科学基金项目(51707026)~~;
摘    要:风电预留备用容量,参与系统调频是构建以新能源为主体的新一代电力系统的必然要求.而现有备用容量配置方法研究鲜有计及风电主动参与调频,且多数方法无法将系统调频经济性和频率稳定性同时进行优化.计及风电调频的备用容量滚动优化方法适用于风电场采用分层集中式频率控制方法参与系统调频,通过多目标机会约束规划将经济性和频率稳定性同时纳...

关 键 词:备用容量  机会约束  多目标优化  风电场频率控制  混合智能算法
收稿时间:2021-05-08

Rolling Optimization Method of Reserve Capacity Considering Wind Power Frequency Control
XING Chao,XI Xinze,HE Tingyi,LI Shengnan,LIU Mingqun.Rolling Optimization Method of Reserve Capacity Considering Wind Power Frequency Control[J].Electric Power Construction,2022,43(2):117-125.
Authors:XING Chao  XI Xinze  HE Tingyi  LI Shengnan  LIU Mingqun
Affiliation:Electric Power Research Institute of Yunnan Power Grid Co., Ltd., Kunming 650217, China
Abstract:It is necessary for wind power to have reserve capacity and participate in system frequency regulation to build a new generation of power system with renewable energy as the main body.However,the existing reserve-capacity allocation methods rarely consider the active participation of wind power in frequency regulation,and most methods cannot optimize the economy and stability at the same time.A rolling optimization method of reserve capacity considering wind power frequency control is proposed,which is suitable for wind farms to participate in system frequency regulation by using hierarchical centralized frequency-control method.In this method,economy and frequency stability are taken into account by multi-objective chance-constrained programming.The parameters of wind power and load prediction error are corrected in rolling calculation.The optimal allocation schemes of reserve capacity of wind farm,thermal power plants and hydropower plants with different confidence are obtained by using hybrid intelligent algorithm.The simulation results of IEEE 39-node test system show that the method solves the limitation of traditional reserve-capacity allocation method,improves the frequency stability and operation economy of the system.
Keywords:reserve capacity  chance constraint  multi-objective optimization  wind farm frequency control  hybrid intelligent algorithm
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