计及风电置信风险成本的多目标最优潮流计算  

Multi-objective optimal power flow calculation considering wind power confidence risk cost

作　　者：温泽之 彭春华 孙惠娟 WEN Zezhi;PENG Chunhua;SUN Huijuan(School of Electrical&Automation Engineering,East China Jiaotong University,Nanchang 330013,China)

机构地区：[1]华东交通大学电气与自动化工程学院,江西南昌330013

出　　处：《电力系统保护与控制》2020年第24期36-43,共8页Power System Protection and Control

基　　金：国家自然科学基金项目资助(51867008);江西省自然科学基金项目资助(20192ACBL20007);江西省教育厅科技项目资助(GJJ1903013)。

摘　　要：风电并网不确定性给电力系统最优潮流带来的风险性难以评估。首先基于风电机会约束概率提出了风电的高估/低估置信风险成本计算方法。然后计及风电置信风险成本构建了经济/环境多目标最优潮流模型,并提出了一种基于非劣性排序的复合回溯搜索(NSCBS)算法,以实现对多目标最优潮流模型高效准确的求解。最后以IEEE30节点为例进行计及风电置信风险成本的多目标最优潮流计算。结果验证了所提出方法的有效性和优越性。In view of the difficulty in assessing the risks brought by the uncertainty of grid-connected wind power to the optimal power flow of the power system,a calculation method of overestimate/underestimate confidence risk cost for wind power based on the probability of a wind power opportunity constraint is proposed.Then,a multi-objective optimal power flow model for an environment/economy is established in consideration of wind power confidence risk cost,and a Non-Dominated Sorting Compound Backtracking Search(NSCBS)algorithm is proposed to achieve an efficient and accurate solution for the multi-objective optimal power flow model.Finally,a modified IEEE30-bus test system is taken as an example to calculate the multi-objective optimal power flow considering wind power confidence risk cost.The results verify the effectiveness and superiority of the proposed method.

关 键 词：风电 机会约束 置信风险 多目标最优潮流 回溯搜索算法 

分 类 号：TM614[电气工程—电力系统及自动化] TM744