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
Link To Document :
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