会议专题

Reactive Power Optimization for Distribution System with Distributed Generations Based on AHSPSO Algorithm

  Distributed generation (DG) has significant effects on the voltage quality and economic operation of distribution network. Taking reactive powers supplied by DGs and reactive power compensation equipment as control variables, the reactive power optimization problem in distribution power system with DGs is researched and an adaptive harmony search-particle swarm optimization (AHSPSO) algorithm is proposed. Considering economic factors, the multi-objective reactive power optimization model of distribution power system with DGs is established firstly. Then a new hybrid algorithm - AHSPSO algorithm is proposed based on the improved harmony search (HS) algorithm and particle swarm optimization (PSO) algorithm. Compared with original HS and PSO in a modified IEEE 33-bus system simulation analysis, the results show that the proposed algorithm has stronger global search capability, higher convergence accuracy and faster convergence rate. Besides, taking DG as a mean of reactive power compensation can effectively reduce the power loss and improve the node voltage level. AHSPSO algorithm is suitable for solving the reactive power optimization problem in distribution power system with DGs.

Distributed generation harmony search particle swarm optimization reactive power optimization

Xue Zhang Xinchao Wang Xiaowu Qi

School of Electrical Engineering,Shandong University,Jinan 250061,Shandong,China

国际会议

2016中国国际供电会议(CICED2016)

西安

英文

1-4

2016-09-01(万方平台首次上网日期,不代表论文的发表时间)