基于遗传算法的多个光伏电源极限功率计算  

Calculation of Maximum Penetration Level of Multi PV Generation Systems Based on Genetic Algorithm

作　　者：丁明[1] 刘盛[1] 

机构地区：[1]教育部光伏系统工程研究中心(合肥工业大学),安徽省合肥市230009

出　　处：《电网技术》2013年第4期922-926,共5页Power System Technology

基　　金：国家863高技术基金项目(2011AA05A107);国家自然科学基金项目(50837001)~~

摘　　要：光伏电站出力具有随机波动性和间歇性,给电网带来很大的影响,且容量越大,影响越显著。提出了基于遗传算法求解多个光伏电源同时接入配电网的极限功率的计算方法。该方法考虑了配电网中光伏电源出力突变以及有载调压变压器和并联电容器参与调压的情况。以IEEE33测试系统为例,分析了光伏电源接入位置、电网负荷水平以及光伏电源功率因数对极限功率的影响,验证了该方法的有效性。The random fluctuation and Intermittency of photovoltaic （PV） generation system bring obvious affection on power grid. The higher the capacity of PV generation system, the more obvious the affection will be. A genetic algorithm （GA） based approach for the calculation of maximum penetration level of multi PV generations simultaneously connected to distribution network is proposed. In the proposed approach, the abrupt change of output of PV generations in distribution network and the condition that on-load tap changer （OLTC） and shunt capacitor participate in voltage regulation are taken into account. To verify the effectiveness of the proposed method, IEEE 33-bus test system is taken for example and calculation results show that the network-connected positions of PV generations, load level of the test system and power factors of PV generations evidently affect the maximum penetration level of multi PV generations.

关 键 词：光伏电源 极限功率 遗传算法 电压调整 

分 类 号：TM91[电气工程—电力电子与电力传动]