Applications of Ant Colony Optimization to Unit Commitment and Construction Planning of Energy Storage Devices in Microgrids

• Main Authors: Zih-Min Fong, 馮咨閔
• Other Authors: Ming-Tse Kuo
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/557ha9

碩士 === 國立臺灣科技大學 === 電機工程系 === 106 === This thesis aims to discuss the various operating conditions of microgrid based on master slave control and the scheduling strategy of energy storage devices through ant colony optimization algorithm and try to find the optimal solution for the path planning of the energy storage devices through the ant colony optimization algorithm. This thesis uses the microgrid in the nuclear research institute as the simulation system and uses Matlab/Simulink simulation software to build models in microgrid systems. The model can simulate a variety of microgrid operating modes, such as grid-connected, islanded, and grid-connected to islanded operations. Through the voltage regulation, the disturbance caused by the interconnection of the distributed energy sources can be effectively reduced. Secondly, this thesis applies the ant colony optimization algorithm to the operation scheduling strategy of microgrid energy storage devices and solves the problem of charge and discharge scheduling of energy storage devices in microgrid. The experimental results show that the ant colony optimization algorithm can meet the multiple characteristics of the microgrid. The microgrid can achieve the function of peak cutting and peak shaving, and can reduce the peak load power during critical periods and maintain the reliability of the system. Finally, the ant colony optimization algorithm is applied to the optimal path planning for energy storage device construction. The pheromone update mechanism is used and the algorithm is used to eliminate redundant paths. The simulation results confirm that the proposed method is used for the path. The plan is fairly robust and searches for the global optimal solution for faster convergence.