Study on Microgrid Power Dispatch by Particle Swarm Optimization

• Main Authors: Jia-Sing Kang, 康嘉興
• Other Authors: none
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/65960787276419273810

碩士 === 國立臺灣科技大學 === 電機工程系 === 101 === This thesis applies inertia weight particle swarm optimization (PSO) algorithm to microgrid power dispatch. First of all, the power generation of wind turbine and solar photovoltaic (PV) system depend on the wind speed and sunlight, respectively, having considerable instability. In this study, a commercial software Solar Pro is used to create a solar PV system model and to simulate their power generation. The Weibull probability density distribution and actual daily wind speed data are used to create a wind speed model and calculate its power generation. Secondly, a microgrid pilot demonstration system constructed by a research institute of Taiwan was selected as a sample system and microgrid optimal power dispatch rules based on power flow analysis was proposed. In addition, this paper uses the MATLAB simulation software to develop a set of optimized particle swarm algorithm that can meet the load demand and the operating restrictions. The operation scheduling optimization of micro-turbines and energy storage equipment can be achieved with the full and effective use of wind power and Solar photovoltaic system. Power dispatch program developed can be applied to the grid-connected and the islands modes, and the use of the particle swarm algorithm can solve the optimal power dispatch problems considering the power purchase and battery management. Simulation results show that the proposed method is feasible and may provide a valuable reference for real-time control and dispatch of a micro-grid system.