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基于动态孤岛混合整数线性规划模型的主动配电网可靠性分析
引用本文:孙雨潇,朱俊澎,袁越.基于动态孤岛混合整数线性规划模型的主动配电网可靠性分析[J].电力建设,2019,40(5):90-97.
作者姓名:孙雨潇  朱俊澎  袁越
作者单位:河海大学能源与电气学院,南京市,211100;河海大学能源与电气学院,南京市,211100;河海大学能源与电气学院,南京市,211100
基金项目:国家自然科学基金项目(51477041)
摘    要:为了得到配电网最优孤岛划分的准确方案,准确评估分布式电源(distributed generation,DG)接入对提升配电网可靠性的有益效果,文章提出了基于混合整数线性规划(mixed integer linear programming,MILP)的多时段动态孤岛划分模型,并基于序贯蒙特卡洛模拟提出了考虑故障状态下动态孤岛的可靠性评估流程。动态孤岛划分模型考虑了分布式电源和负荷的波动性,并建立了分布式电源和和负荷的功率时序模型。通过建立支路功率与节点状态的线性逻辑约束保证故障期间孤岛的辐射状拓扑结构,以改进的RBTS-BUS6系统为例,对含分布式光储的主动配电网(active distribution network,ADN)进行可靠性分析,结果表明文章所提出的电力孤岛模型能最大范围地恢复供电,并有效提高配电网的可靠性水平。

关 键 词:混合整数线性规划(MILP)  动态孤岛  主动配电网(ADN)  分布式电源(DG)  可靠性

Reliability Evaluation Based on Dynamic Island MILP Model of Active Distribution Network
SUN Yuxiao,ZHU Junpeng,YUAN Yue.Reliability Evaluation Based on Dynamic Island MILP Model of Active Distribution Network[J].Electric Power Construction,2019,40(5):90-97.
Authors:SUN Yuxiao  ZHU Junpeng  YUAN Yue
Affiliation:College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Abstract:In order to get the accurate scheme of optimal islanding partition in distribution network and accurately evaluate the beneficial effect of distributed generation access on improving the reliability of distribution network. A multi-time dynamic islanding model based on mixed-integer linear programming (MILP) is proposed. On the basis of sequential Monte Carlo simulation, a reliability evaluation process considering dynamic islands under fault conditions is proposed. The dynamic islanding partition model takes into account the fluctuation of distributed generation and load, and establishes the power sequential model of distributed generation and load. The radial topology of islands during fault is guaranteed by establishing linear logic constraints of branch power and node state. Taking the improved RBTS-BUS6 system as example, the reliability of active distribution network(ADN)with distributed solar power and energy storage is analyzed. The results show that the proposed power island model can restore power supply to a maximum extent and effectively improve the reliability level of distribution network.
Keywords:mixed-integer linear programming(MILP)  dynamic island  active distribution network(ADN)  distributed generation(DG)  reliability  
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