Reliability Evaluation Based on Dynamic Island MILP Model of Active Distribution Network

doi:10.3969/j.issn.1000-7229.2019.05.011

Abstract

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.

Key words: mixed-integer linear programming（MILP）, dynamic island, active distribution network（ADN）, distributed generation（DG）, reliability

CLC Number:

TM 732

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.

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