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大规模风电外送的地区电网风电网损及运行优化研究 被引量:8

Research on wind loss and operation optimization of regional power grid with powers delivered by large scale wind power
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摘要 风电作为一种新型可再生能源,已经成为可持续发展战略的重要组成部分。但风电并网也给电力系统带来了新的挑战。为研究大规模风电外送对地区电网网损的影响,本文针对大规模风电外送的特点,给出一种风电网损计算模型,通过定量计算风电网损来评估风电给地区电网造成的影响;并建立基于大规模风电外送电网的最优潮流模型,通过优化电网的控制变量来达到电网线损率最小的目标,应用关联规则和K-means法分析优化变量与风电对断面降损空间的影响。以北方某地区实际电网为算例进行仿真,结果表明大规模风电外送对给地区电网带来很大的损耗;当风电波动较大时,现有电网容易偏离最优运行状态,此时的运行状态具有进一步降损空间。 As a new type of renewable energy,wind power has become an important part of sustainable development strategies.But the integration of wind power also brings new challenges to the power system.In order to qualitatively and quantitatively study the impact of large-scale wind power transmission on regional power grid loss,a wind power loss calculation model for large-scale wind power transmission characteristics is presented,and an optimal power flow based on large-scale wind power transmission network is established in this paper.The model achieves the goal of minimizing the line loss rate of the grid by optimizing the control variables of the grid,and applying the association rules and K-means method to analyze the section optimization results.The simulation of the actual power grid in a certain area in the north shows that the large-scale wind power transmission has certain influence on the network power loss of the regional power grid;when the wind power fluctuation is large,the existing power grid deviates from the optimal operating state and has further space for loss reduction.
作者 陈建华 皇甫成 杨英杰 耿丽君 卢志刚 CHEN Jianhua;HUANGFU Cheng;YANG Yingjie;GENG Lijun;LU Zhigang(State Grid Yubei Power Co.Ltd.,Beijing 100054,China;Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province,Yanshan University,Qinhuangdao,Hebei 066004,China)
出处 《燕山大学学报》 CAS 北大核心 2019年第2期146-153,共8页 Journal of Yanshan University
基金 国家自然科学基金资助项目(61873225) 河北省自然科学基金资助项目(F2016203507)
关键词 理论线损计算 风电网损 最优潮流 粒子群算法 theoretical line loss calculation wind power loss optimal power flow particle swarm optimization
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