基于机会约束规划的主动配电网分布式<br/>风光双层优化配置

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摘要提出了一种基于机会约束规划的主动配电网(ADN)分布式风光双层随机最优潮流优化配置模型。上层模型以兼顾传统配电网的投资收益与配电自动化成本的年利润最大为目标函数,通过蒙特卡罗(MC)随机模拟和前推回代法获取系统静态安全机会约束;下层模型以分布式电源(DG)有功削减最小为目标函数,考虑包括DG有功功率削减限制、有载调压变压器电压调节、DG功率因数调节等主动管理(AM)措施及系统静态安全机会约束。给出了结合遗传算法、MC随机模拟和前推回代法的模型求解方法,通过判断上层模型是否满足静态安全机会约束起动下层模型。算例仿真结果表明,该方法在满足置信水平的机会约束下可有效避免小概率事件的负面影响,且在适应多容量渗透率边界下获得兼顾安全经济环境优化的ADN规划方案。

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	马瑞
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	刘鸣春

关键词 ：机会约束规划, 随机最优潮流, 主动配电网, 主动管理, 容量渗透率

Abstract：A bi-level optimal configuration model considering stochastic optimal power flow of the distributed wind and photovoltaic generation in the active distribution network (ADN) based on chance constrained programming is proposed.The upper level aims at maximizing the annual benefits considering the investment income of the traditional distribution network and the cost of the distribution automation.The chance constraints of the static security are acquired by Monte Carlo (MC) stochastic simulation and forward and backward substitution power flow method.The lower level aims at minimizing the distributed generation (DG) output curtailment considering the static security chance constraints and the active management (AM) constraints,i.e. active power curtailment of DG,voltage regulation of on-load voltage regulating transformer,and power factor adjustment of DG.Then,Genetic Algorithm,MC stochastic simulation,and forward and backward substitution power flow method are combined to find the solution.The lower level model will be quickly launched when the conditions of the static security chance constraints of the upper lever are not satisfied.Simulation results suggest that the model can effectively avoid the adverse effect from small probability events within AM and chance constraints in a satisfying confidence level,and acquire the ADN planning scheme considering safety,economy and environment factors with a variety of capacity penetration boundaries.

Key words： Chance constrained programming stochastic optimal power flow active distribution network active management capacity penetration

收稿日期: 2015-02-05 出版日期: 2016-02-25

PACS:

TM715

基金资助:国家自然科学基金资助项目(51277015)。

作者简介: 马瑞男,1971年生,博士,教授,研究方向为电力系统分析与控制、低碳电力、主动配电网和电力大数据。E-mail:marui818@126.com

引用本文:

马瑞,金艳,刘鸣春. 基于机会约束规划的主动配电网分布式
风光双层优化配置[J]. 电工技术学报, 2016, 31(3): 145-154. Ma Rui ，Jin Yan ，Liu Mingchun. Bi-level Optimal Configuration of Distributed Wind and Photovoltaic Generations in Active Distribution Network Based on Chance Constrained Programming. Transactions of China Electrotechnical Society, 2016, 31(3): 145-154.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2016/V31/I3/145

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