中国电机工程学报2017，Vol.37Issue(23)：6829-6845,17.DOI:10.13334/j.0258-8013.pcsee.162133
基于模型预测控制的能源互联网系统分布式优化调度研究
Model Predictive Control Based Distributed Optimization and Scheduling Approach for the Energy Internet
张彦 1张涛 1孟繁霖 2王锐 1刘亚杰 1郭波1
作者信息
- 1. 国防科技大学信息系统与管理学院,湖南省长沙市410073
- 2. 杜伦大学计算与工程学院,英国杜伦DH1 1EP
- 折叠
摘要
Abstract
Energy intemet is a complex information and physical system,which comprises multiple energy local networks.Therefore,the optimization and scheduling for the energy internet is more complex than the energy local network,more factors are needed to consider and to coordinate due to the owners,scheduling objectives and the operation tasks for energy local networks are different.Moreover,each energy local network owner wants to maximize its own profit leads to the centralized optimization and scheduling scheme cannot effectively satisfy these demands.This paper proposes a hierarchal games based distributed energy management model for the energy internet,it can maximize the profit of the utility company by coordinating the generators and the energy storage units,and minimize the operation cost of each energy local network by coordinating its own dispatchable units.This distributed energy management model is integrated into the model predictive control framework to effectively reduce the negative impacts introduced by fluctuant renewable energy resources outputs and random load demand.Case studies show that the proposed approach is flexible and robust.关键词
能源互联网/能源局域网/模型预测控制/博弈论/分布式优化Key words
energy internet/energy local network/model predictive control/games theory/distributed optimization分类
信息技术与安全科学引用本文复制引用
张彦,张涛,孟繁霖,王锐,刘亚杰,郭波..基于模型预测控制的能源互联网系统分布式优化调度研究[J].中国电机工程学报,2017,37(23):6829-6845,17.
