Virtual Power Plant and Microgrids controller for Energy Management based on optimization techniques

Journal of Electrical Systems

M A Hannan¹  Maher G. M. Abdolrasol²  Azah Mohamed² 

[1] Department of Electrical Power Engineering, College of Engineering, Universiti Tenaga Nasional, Bandar Baru Bangi, 43650, Selangor, Malaysia ;Department of Electrical, Electronic and System Engineering, Faculty of Engineering and Built Environments, Universiti Kebangsaan Malaysia, Bangi, 43600, Selangor, Malaysia;

关键词: Virtual Power Plant;    Microgrid;    Energy Management System;    Backtracking search algorithm;    particle swarm optimization algorithm;   

DOI  :  

来源: DOAJ

【 摘 要 】

This paper discuss virtual power plant (VPP) and Microgrid controller for energy management system (EMS) based on optimization techniques by using two optimization techniques namely Backtracking search algorithm (BSA) and particle swarm optimization algorithm (PSO). The research proposes use of multi Microgrid in the distribution networks to aggregate the power form distribution generation and form it into single Microgrid and let these Microgrid deal directly with the central organizer called virtual power plant. VPP duties are price forecast, demand forecast, weather forecast, production forecast, shedding loads, make intelligent decision and for aggregate & optimizes the data. This huge system has been tested and simulated by using Matlab simulink. These paper shows optimizations of two methods were really significant in the results. But BSA is better than PSO to search for better parameters which could make more power saving as in the results and the discussion.

【 授权许可】

Unknown