Coordination and control for energy distribution in distributed grid networks: Theory and application to power dispatch problem

被引:25
作者
Kim, Byeong-Yeon [1 ]
Oh, Kwang-Kyo [2 ]
Ahn, Hyo-Sung [3 ]
机构
[1] Korea Atom Energy Res Inst, SFR NSSS Syst Design Div, Taejon 305353, South Korea
[2] Korea Inst Ind Technol KITECH, Automot Components & Mat R&D Grp, Gwangju 500408, South Korea
[3] Gwangju Inst Sci & Technol GIST, Sch Mechatron, Gwangju 500712, South Korea
基金
新加坡国家研究基金会;
关键词
Coordination; Control for energy distribution; Distributed grid networks; Power dispatch problem; MULTIAGENT SYSTEMS; PREDICTIVE CONTROL; AVERAGE CONSENSUS; AGENTS; FLOW; TOPOLOGIES;
D O I
10.1016/j.conengprac.2015.06.004
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a new framework considering decentralized energy coordination and generation, and flow control for supply-demand balance in distributed grid networks. Consensus schemes using only local information are employed to produce energy coordination, generation, and flow control signals. For the supply-demand balance, it is required to determine the amount of energy needed at each distributed resource. Also, due to the different generation capacities of each energy resource, coordination of energy flows among distributed energy resources is essentially required. Thus, this paper proposes a new framework which gives decentralized energy coordination scheme, generation, and flow control method considering these constraints based on distributed consensus algorithms. The proposed framework in this paper can be nicely utilized in energy dispatch or energy flow scheduling. Furthermore, it can be applied to various engineering problems including water irrigation systems, traffic networks, and building automation systems since it deals with attributed distribution and resource allocation in large scale distributed systems. Through illustrative examples, the effectiveness of the proposed approaches is illustrated. A possible application to power dispatch problem in the IEEE-14bus is also addressed for more detailed and realistic evaluation. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:21 / 38
页数:18
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