Multi-Objective Reactive Power Optimization of Distribution Network with Distributed Generation

Hui Zhao, Zhaowen Luan, Sixin Guo, Chunpeng Han, T.-T. Lie, M. Eissa, E. Calabrò
2016 MATEC Web of Conferences  
Distributed generation (DG) is considered to be a very promising alternative of power generation because of its tremendous environmental, social, and economic benefits. But the randomness and intermittent of DGs brings new problems to the system. This paper analyzes the reactive power optimization problem of distribution network with correlative DGs based on scenario analysis method. A new scenario division rule according to the joint distribution function of wind-PV power outputs is proposed
more » ... the paper. Then a multiobjective reactive power optimization model whose objects include the minimum active power losses, the minimum voltage deviation and the maximum static voltage stability margin is established. Non-dominated sorting genetic algorithm-II is used to solve the model. At the last of the paper, the model and the algorithm proposed are verified with an improved IEEE 33-bus system. The results show that the model will be a reference to the reactive power optimization problem in distribution system. Joint probability model of wind-PV outputs 2.1 Probability model of wind farm a Corresponding author : zhaohui3677@163.com , 0 009 (2016)
doi:10.1051/matecconf/20165506009 fatcat:pwyiz652i5al7bhcl72a2o3v2q