基于GWO的微电网能源调度管理研究  

Research on Microgrid Energy Dispatching Management Based on GWO

作　　者：王玉婷 李春华[1] WANG Yuting;LI Chunhua(School of Electrical&Information Engineering,Jiangsu University of Science and Technology,Zhenjiang 212003)

机构地区：[1]江苏科技大学电子信息学院,镇江212003

出　　处：《计算机与数字工程》2022年第8期1691-1695,共5页Computer & Digital Engineering

摘　　要：为了解决微电网的能源管理、运营成本和环境效益等问题,论文研究了一种结合灰狼优化算法(GWO)和优化调度的新方法。GWO用于获得不同系统组件的最佳输出方案,以最大程度地降低微电网发电的总成本并减少污染物排放。此外,研究结果表明,在重载需求下启动柴油发电机组并使用蓄电池作为存储装置,在经济和环境方面具有可行性,可以更好地发挥“削峰填谷”的作用,从而降低系统的总成本,提高可再生能源的利用率。In order to solve the problems of energy management,operating costs and environmental benefits of the microgrid,this paper studies a new method combining grey wolf optimization algorithm(GWO)and optimal dispatch. GWO is used to obtain the best output scheme of different system components to minimize the total cost of microgrid power generation and reduce pollutant emissions. Furthermore,the findings of the study illustrate the economic and environmental feasibility of starting diesel generators under heavy load demand and use battery as storage can better play the role of peak and valley filling,thereby reducing the total cost of the system and improving the utilization rate of renewable energy.

关 键 词：微电网 优化调度 灰狼优化算法(GWO) 可再生能源 

分 类 号：V242.3[航空宇航科学与技术—飞行器设计]