DocumentCode
112243
Title
Hierarchical Decentralized Network Reconfiguration for Smart Distribution Systems—Part I: Problem Formulation and Algorithm Development
Author
Fei Ding ; Loparo, Kenneth A.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Case Western Reserve Univ., Cleveland, OH, USA
Volume
30
Issue
2
fYear
2015
fDate
Mar-15
Firstpage
734
Lastpage
743
Abstract
This paper presents a hierarchical decentralized agent-based network reconfiguration methodology to minimize power losses for smart distribution systems. A novel formulation of the network reconfiguration problem is given in which the switch states are the decision variables, and a single-loop branch-exchange heuristic algorithm is used to solve the optimization problem. The entire distribution system is decomposed into subsystems based on the connectivity of areas, and an individual agent is assigned to each decomposed subsystem. A two-stage method is defined for coordinating the reconfigurations of decomposed subsystems. The optimal configuration of the entire system results from collaborations of individual agents, and the decentralized approach significantly reduces the computation time. A 118-bus distribution system is used as the example to illustrate the implementation of the method. The development of a demonstration system and more detailed simulation studies are given in Part II to further illustrate the application of the proposed decentralized approach.
Keywords
distribution networks; optimisation; power engineering computing; smart power grids; agent-based network reconfiguration methodology; computation time; decision variables; hierarchical decentralized network reconfiguration; power losses; single-loop branch-exchange heuristic algorithm; smart distribution systems; subsystems; Generators; Heuristic algorithms; Joining processes; Linear programming; Optimization; Switches; Decentralized network reconfiguration; distribution system; heuristic method; hierarchical; intelligent agents; power loss minimization;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2014.2337260
Filename
6866913
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