基于带权极小模理想点法的多目标特高压穿越无功规划
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摘要
特高压交流线路充电功率大,导致其与下级电网存在较大的穿越无功,影响系统经济性与安全稳定性。对此,从技术性与经济性两个维度,构建了以特高压穿越无功最小、投资成本最小为目标的多目标特高压穿越无功规划模型。针对模型特点,采用带权极小模理想点法,将多目标规划问题转化为单目标规划问题,避免了求解多目标规划问题复杂的Pareto前端曲面,简化了问题求解复杂度。最后,以某实际区域电网为例,仿真结果验证了所提模型及其求解方法的有效性。研究成果可为其他区域电网特高压穿越无功规划提供参考。
Due to the great amount of charging reactive power in ultra-high voltage(UHV)AC transmission lines,there exists plenty of penetration reactive power between UHV grids and lower-voltage grids.From the technical and economic dimensions,this paper presented a multi-objective UHV penetration reactive power planning model,whose objective functions included UHV penetration reactive power minimization and investment cost minimization.According to the characteristics of the model,a weighted minimum-module ideal-point method was proposed to simplify the multi-objective planning problem by avoiding Pareto front.Finally,an actual regional power grid was taken as an example,whose results demonstrated the effectiveness of the presented multi-objective planning model and its solution method.The research can provide reference for the UHV penetration reactive power planning in other regions.
Due to the great amount of charging reactive power in ultra-high voltage(UHV)AC transmission lines,there exists plenty of penetration reactive power between UHV grids and lower-voltage grids.From the technical and economic dimensions,this paper presented a multi-objective UHV penetration reactive power planning model,whose objective functions included UHV penetration reactive power minimization and investment cost minimization.According to the characteristics of the model,a weighted minimum-module ideal-point method was proposed to simplify the multi-objective planning problem by avoiding Pareto front.Finally,an actual regional power grid was taken as an example,whose results demonstrated the effectiveness of the presented multi-objective planning model and its solution method.The research can provide reference for the UHV penetration reactive power planning in other regions.
引文
[1]张勇军,李钦豪,刘轩.特高压交流电网的无功电压控制[J].电力系统自动化,2017,41(5):159-167.
[2]Miao Y C,Cheng H Z.An Optimal Reactive Power Control Strategy for UHVAC/DC Hybrid System in East China Grid[J].IEEE Transactions on Smart Grid,2016,7(1):392-399.
[3]刘沛津,谷立臣.含风电场的电力系统无功规划优化[J].电网技术,2010,34(7):175-180.
[4]张沈习,程浩忠,张立波,等.含风电机组的配电网多目标无功规划[J].电力系统保护与控制,2013,41(1):40-46.
[5]江洁,王主丁,张宗益,等.基于有效生成初始种群的配电网无功规划优化遗传算法[J].电网技术,2009,33(8):60-65.
[6]张建平,方斯顿,宋越,等.基于逐次优化遗传算法的无功规划[J].华东电力,2014,42(5):822-825.
[7]邓大上,房鑫炎.基于逐次优化改进遗传算法的特高压穿越无功规划[J].水电能源科学,2015,33(5):197-199.
[8]尤毅,刘东,钟清,等.主动配电网储能系统的多目标优化配置[J].电力系统自动化,2014,38(18):46-52.
[2]Miao Y C,Cheng H Z.An Optimal Reactive Power Control Strategy for UHVAC/DC Hybrid System in East China Grid[J].IEEE Transactions on Smart Grid,2016,7(1):392-399.
[3]刘沛津,谷立臣.含风电场的电力系统无功规划优化[J].电网技术,2010,34(7):175-180.
[4]张沈习,程浩忠,张立波,等.含风电机组的配电网多目标无功规划[J].电力系统保护与控制,2013,41(1):40-46.
[5]江洁,王主丁,张宗益,等.基于有效生成初始种群的配电网无功规划优化遗传算法[J].电网技术,2009,33(8):60-65.
[6]张建平,方斯顿,宋越,等.基于逐次优化遗传算法的无功规划[J].华东电力,2014,42(5):822-825.
[7]邓大上,房鑫炎.基于逐次优化改进遗传算法的特高压穿越无功规划[J].水电能源科学,2015,33(5):197-199.
[8]尤毅,刘东,钟清,等.主动配电网储能系统的多目标优化配置[J].电力系统自动化,2014,38(18):46-52.