文章摘要
陈堂龙,汪马翔,王昊昊,等.考虑长期电量公平与实时电力公平的新能源有功控制方法[J].电力系统自动化,2019,43(21):111-117. DOI: 10.7500/AEPS20180604004.
CHEN Tanglong,WANG Maxiang,WANG Haohao, et al.Control Method of Active Power for Renewable Energy Considering Long-term Electric Quantity and Real-time Electricity Equity[J].Automation of Electric Power Systems,2019,43(21):111-117. DOI: 10.7500/AEPS20180604004.
考虑长期电量公平与实时电力公平的新能源有功控制方法
Control Method of Active Power for Renewable Energy Considering Long-term Electric Quantity and Real-time Electricity Equity
DOI:10.7500/AEPS20180604004
关键词: 新能源  电站分群  电量执行进度  电量公平  电力公平  有功控制  涉网性能指标
KeyWords: renewable energy  power plant clustering  electric quantity execution  electric quantity equity  power equity  active power control  grid-related performance index
上网日期:2019-08-20
基金项目:国家重点研发计划资助项目(2017YFB0902204);国家电网公司科技项目(SGGSKY00FJJS1700007)
作者单位E-mail
陈堂龙 南瑞集团有限公司(国网电力科学研究院有限公司), 江苏省南京市 211106
国电南瑞科技股份有限公司, 江苏省南京市 211106 
chentanglong@163.com 
汪马翔 南瑞集团有限公司(国网电力科学研究院有限公司), 江苏省南京市 211106
国电南瑞科技股份有限公司, 江苏省南京市 211106 
 
王昊昊 南瑞集团有限公司(国网电力科学研究院有限公司), 江苏省南京市 211106
国电南瑞科技股份有限公司, 江苏省南京市 211106 
 
徐泰山 南瑞集团有限公司(国网电力科学研究院有限公司), 江苏省南京市 211106
国电南瑞科技股份有限公司, 江苏省南京市 211106 
 
朱燕芳 国网山西省电力公司, 山西省太原市 030012  
马彦宏 国网甘肃省电力公司, 甘肃省兰州市 730046  
摘要:
      针对新能源电站的调度公平问题,文中提出了基于在线动态分群思路的“整体电量公平,群内电力公平”的新能源有功控制两阶段优化方法。第1阶段,基于新能源电站的电量执行进度、涉网性能等指标形成综合系数,考虑调峰、备用及电网安全约束,建立考虑综合系数的发电指令最大为目标的优化控制模型,实现整体的电量公平;第2阶段,采用分群优化及多方案优选的方法,修正各群新能源电站的有功指令下限,识别各群可行的电力公平优化方案,再通过对各群优化方案的组合优选,实现了电量公平基础上的电力公平。方法应用于多个省级电网,实际系统的运行结果验证了所提方法的有效性。
Abstract:
      Based on online dynamic clustering with thoughts of “overall electric quantity equity and cluster power equity”, a two-stage optimization method of renewable energy active power control is proposed, which can be used to solve the dispatching equity problems for renewable energy power plants. At the first stage, a comprehensive coefficient is formed based on indices such as the electric energy execution and grid-related performance of renewable energy power plants. Considering peak load regulation, reserve and constraints of grid security, an optimal control model for maximizing the overall output power with the comprehensive coefficient is established to achieve the overall electric quantity equity. At the second stage, clustering optimization and multi-scheme optimization is adopted to correct the lowest boundary of active power commands of each renewable energy power plants cluster, identify the feasible power equity optimization schemes of each cluster, then realize both power equity and electric quantity equity through the combined optimization of each cluster optimization scheme. The method is applied to several provincial power grids, and the actual system operation results show the effectiveness of the method.
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