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上海电力学院学报:2019,35(6):518-524
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基于内点法的含风电场电力系统随机最优潮流
(上海电力学院 电气工程学院)
Improved Interior Point Method for Stochastic Optimal Power Flow Including Wind Power
(School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China)
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投稿时间:2018-09-13    
中文摘要: 基于机会约束规划的随机最优潮流模型的求解一般采用智能优化算法,提出了一种内点法结合随机调节因子更新的方法,以求解基于机会约束规划的含风电场电力系统的随机最优调度模型。模型考虑了节点电压和线路功率的机会约束,并采用半不变量和Cornish-Fisher级数结合的方法来计算机会约束的概率分布。引入调节因子,对机会约束概率进行变形,将随机最优潮流问题转化为可采用内点法求解的最优潮流模型。提出了调节因子的更新方法,通过原始对偶内点法的参数结果更新调节因子来调节机会约束满足的概率,迭代求解机会约束随机最优潮流模型。最后,以IEEE14和IEEE118节点系统为例,验证了方法的正确性和有效性。
中文关键词: 随机最优潮流  风力发电  内点法
Abstract:The stochastic optimal power flow (SOPF) is usually solved based on intelligent optimization algorithm.The update algorithm of the regulatory variables in the interior point method is proposed for the SOPF model of power system including wind power.The stochastic inputs and chance constraints are modeled based on cumulants and Cornish-Fisher series.The regulatory variables are proposed to divide the chance constrained stochastic optimal power flow into a deterministic optimal power flow (DOPF) model.The regulatory variables are updated iteratively according to the stochastic inputs and optimal solution solved by primal-dual interior point method (PDIPM).The results on IEEE14 and IEEE18 systems with wind farms verify the feasibility and effectiveness of the proposed algorithm.
文章编号:     中图分类号:TM71    文献标志码:
基金项目:国家自然科学基金(51277119)。
引用文本:
龚锦霞,郑元黎.基于内点法的含风电场电力系统随机最优潮流[J].上海电力学院学报,2019,35(6):518-524.
GONG Jinxia,ZHENG Yuanli.Improved Interior Point Method for Stochastic Optimal Power Flow Including Wind Power[J].Journal of Shanghai University of Electric Power,2019,35(6):518-524.