Multi-Objective Planning of Distributed Photovoltaic Power Generation Based on Multi-Attribute Decision Making Theory

Abstract

Photovoltaic (PV) power generation has been heavily connected into distribution network recently. However, the intermittent and uncertainty of PV generation system will significantly affect the security operation of distribution network. Therefore, the planning of PV system shows urgency in the extensive planning of distribution network. Herein, a multi-objective PV planning model is proposed in this paper, active power losses, voltage deviation, voltage harmonic distortion and static voltage steady index are considered and discussed in the operation of distribution network. In order to dispose the complex coupling of these different objectives, multi-attribution decision making theory method combined with the game theory is proposed for coordinating the different objectives. The comprehensive weight model of the different objectives is used to present the combined effect of PV system toward distribution network. Furthermore, an improved PSO algorithm is developed for the solution of the multi-objective problem. Simulation results and the application in practical system show that the proposed PV generation system planning model and solution method are effective.

Keywords

• Photovoltaic (PV) power generation
• multi-objective planning model
• particle swarm optimization
• multiple attribution decision making theory