Hybrid Energy Scheduling in a Renewable Micro Grid

Applied Sciences

Zifa Liu²  Chiye Chen²  Jiahai Yuan¹ 

[1] School of Economics and Management, North China Electric Power University, Beijing 102206, China; E-Mail:;School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China; E-Mail:

关键词: micro grid;    scheduling;    hybrid energy;   

DOI  :  10.3390/app5030516

来源: mdpi

【 摘 要 】

In this paper, we address the energy scheduling issue in a hybrid energy micro grid, which consists of photovoltaic (PV), wind power, combined heat and power (CHP), energy storage and electric vehicles (EVs). The optimal scheduling model of these power sources is presented with consideration of the demand response. The objective function is minimum total operation costs, including gas cost, electric power purchase from the main grid and storage and EV charging-discharging costs. In the process of optimization, multi-team particle swarm optimization (MTPSO) is proposed, which uses units, groups and swarm information to update the velocity (position) with faster and more stable convergence. With simulation analysis, it is found that the proposed model is effective, and the presented MTPSO has a better global search ability than PSO.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.