摘要
为避免考虑小概率事件的发生而影响光伏电源极限接入容量的计算,文章在考虑光伏电源和负荷随机性的基础上,提出了基于电压偏差机会约束的光伏电源极限接入容量计算方法。首先,以最大化光伏电源极限接入容量为目标,以电压偏差为机会约束条件,建立光伏电源极限接入容量的计算模型;然后,利用基于拉丁超立方采样(Latin Hypercube Sampling,LHS)的概率潮流算法得到节点电压统计特性,并利用概率潮流计算结果和量子遗传算法求解该模型;最后,通过IEEE34节点算例和甘肃省某地区农村配电网的仿真计算,验证了所提方法的有效性和可行性。
To avoid the calculation of limit access capacity of photovoltaic(PV)source is incorrect due to the consideration of the occurrence of a small probability event,this paper proposes a method to calculate the limit access capacity of PV source based on the chance onstraints of voltage deviation on the basis of considering the randomness of PV power and load.Maximizing limit access capacity of PV is regarded as the goal,the voltage deviation is regarded as the chance constrained condition,the calculation model of limit access capacity of PV is established.Then,using the LHS and Newton-Raphson to calculate the probabilistic load flow(PLF),the statistical properties of node voltage are obtained.Calculation results of PLF and quantum genetic algorithm are used to solve the model.By comparing the results of optimization with heuristic method,the correctness and validity of the proposed method are verified.
作者
陈伟
吴建虎
裴喜平
Chen Wei;Wu Jianhu;Pei Xiping(College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China)
出处
《可再生能源》
CAS
北大核心
2019年第8期1185-1191,共7页
Renewable Energy Resources
基金
国家重点研发计划(2016YFB0601600)
国家自然科学基金项目(51767017,51267012)
关键词
分布式光伏发电
机会约束规划
准入容量
量子遗传
农村配电网
distributed photovoltaic generation
chance constrained programming
allowable capacity
quantum genetic
rural distribution network
