基于不确定二层规划模型的主动配电网故障恢复方法

马天祥; 程肖; 贾伯岩; 刘振; 段昕; 贾静然

引用本文:	马天祥,程肖,贾伯岩,等.基于不确定二层规划模型的主动配电网故障恢复方法[J].电力系统保护与控制,2019,47(6):48-57.
	MA Tianxiang,CHENG Xiao,JIA Boyan,et al.Service restoration method for active distribution network based on uncertain bi-level programming model[J].Power System Protection and Control,2019,47(6):48-57

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基于不确定二层规划模型的主动配电网故障恢复方法
马天祥¹,程肖²,贾伯岩¹,刘振¹,段昕¹,贾静然¹
(1.国网河北省电力有限公司电力科学研究院，河北石家庄 050021; 2.河北省送变电有限公司，河北石家庄 050051)

摘要:

针对含分布式风力和光伏发电并网的主动配电网故障恢复问题，采用不确定二层规划理论建立计及新能源出力不确定性的主动配电网故障恢复模型。所建立的模型以开关状态改变为上层控制变量，以置信度形式的故障恢复综合满意度指标为上层决策者的目标。以故障恢复后的配电网能量调度方案为下层决策变量，以置信度形式的主动配电网综合运行成本为下层决策者的目标。基于博弈论方法并采取混沌粒子群算法分别设计上层优化和下层优化的求解过程，得到配电网故障恢复方案。最后通过一个算例验证了该方法的正确性和有效性。

关键词: 主动配电网不确定二层规划故障恢复博弈论混沌粒子群

DOI：10.7667/PSPC180387

分类号:

基金项目:国家电网公司总部科技项目资助(kj2018-063);河北省电力有限公司科技项目资助(kj2017-20)

Service restoration method for active distribution network based on uncertain bi-level programming model

MA Tianxiang¹,CHENG Xiao²,JIA Boyan¹,LIU Zhen¹,DUAN Xin¹,JIA Jingran¹

(1. State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China;2. Hebei Electricity Transmission & Transformation Facilities Company, Shijiazhuang 050051, China)

Abstract:

Aiming at the active distribution network service restoration with distributed wind power and PV generation connected, the uncertain bi-level programming theory is applied to establish the active distribution network service restoration model considering the uncertainty of new energy power generation. The established model takes switch state change as the upper control variable, while comprehensive satisfaction degree in the form of confidence is considered as the objective function of upper-level model. The energy scheduling scheme of distribution network after service restoration is taken as the lower decision variables. The comprehensive cost in the form of confidence is used as the objective function of the lower-level model. Based on game theory and chaos particle swarm optimization algorithm, the upper-level optimization and lower-level solving procedure are designed respectively, and then the distribution network service restoration scheme can be obtained. Finally, a numerical example is given to illustrate the correctness and effectiveness of the proposed method. This work is supported by Science and Technology Project of State Grid Corporation of China (No. kj2018-063) and Science and Technology Program of State Grid Hebei Electric Power Company (No. kj2017-20).

Key words: active distribution network uncertain bi-level programming service restoration game theory chaotic particle swarm

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