DocumentCode
2052
Title
Hierarchical Decentralized Network Reconfiguration for Smart Distribution Systems—Part II: Applications to Test Systems
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
744
Lastpage
752
Abstract
A hierarchical decentralized network reconfiguration approach to minimize power losses for smart distribution systems was presented in Part I. In this paper, the proposed approach is applied to four test distribution systems to examine its performance. A demonstration system consisting of the test system and distributed intelligent agents is built using MATLAB/Simulink to illustrate how the decentralized approach is implemented. Simulation results of the proposed approach are then compared with results of a centralized implementation and the harmony search method. It is shown that the decentralized approach can achieve similar results as other methods with significantly reduced computation time. The impacts of time-varying loads and faults are also studied through dynamic network reconfiguration on the 118-bus test system. Simulation results illustrate that dynamic network reconfiguration with time-ahead planning can determine the optimal configuration for each operating period to significantly reduce system energy losses. The enhanced performance of the hierarchical decentralized approach is clearly established.
Keywords
distribution networks; hierarchical systems; multi-agent systems; multivariable systems; power system simulation; search problems; MATLAB-Simulink; distributed intelligent agents; dynamic network reconfiguration; harmony search method; hierarchical decentralized network reconfiguration approach; power losses; smart distribution systems; system energy losses; test distribution systems; time-ahead planning; time-varying loads; Computational modeling; Heuristic algorithms; MATLAB; Power system dynamics; Simulation; Switches; Decentralized network reconfiguration; MATLAB; Simulink; dynamic network reconfiguration; hierarchical; renewable energy resource; restoration;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2014.2337280
Filename
6867361
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