A distribution network reconfiguration method based on comprehensive analysis of operation scenarios in the long-term time period

Abstract

Reconfiguration is an important means to achieve optimal operation of the distribution network, but in actual distribution network operation, sectionalizing and tie switches are usually not switched frequently to adjust distribution network structure. In order to meet the practical application, this paper proposes a distribution network reconfiguration method based on comprehensive analysis of operation scenarios in order to find a reconfiguration solution with the best overall performance over a long term operating period. In this paper, different load combinations at each node of different time cross-sections in distribution network are regarded as distribution network operation scenarios. Firstly, the improved K-Means algorithm is used to cluster the operation scenarios of distribution network during the period to form typical operation scenarios, and the time share of each typical scenario in the entire time period is obtained. Then, the Time Interval Loss Index (TILI) is proposed to evaluate the total distribution network loss performance of reconfiguration solution in the entire time period, and then establish reconfiguration optimization model with this as optimization target, using genetic algorithm to optimize. Case study shows that the proposed method can adequately consider distribution network operation scenarios, and the overall network loss during time period is lower than the traditional reconfiguration method based on single operation scenario.

Keywords

• Radial distribution system
• Distribution network reconfiguration
• Time period
• Scenarios
• K-Means algorithm
• Genetic algorithm