Hierarchical Decentralized Network Reconfiguration for Smart Distribution Systems-Part II: Applications to Test Systems

被引:26
作者
Ding, Fei [1 ]
Loparo, Kenneth A. [1 ]
机构
[1] Case Western Reserve Univ, Dept Elect Engn & Comp Sci, Cleveland, OH 44106 USA
关键词
Decentralized network reconfiguration; dynamic network reconfiguration; hierarchical; MATLAB; renewable energy resource; restoration; Simulink; LOSS-MINIMUM RECONFIGURATION; SCALE DISTRIBUTION-SYSTEMS; GENETIC ALGORITHM; LOSS MINIMIZATION; HARMONY SEARCH;
D O I
10.1109/TPWRS.2014.2337280
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
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.
引用
收藏
页码:744 / 752
页数:9
相关论文
共 13 条
[1]
Ding F., 2012, P IEEE POW EN SOC GE, P343
[2]
Ding F., 2015, IEEE T POWER SYST, V30, P722
[3]
A new heuristic optimization algorithm: Harmony search [J].
Geem, ZW ;
Kim, JH ;
Loganathan, GV .
SIMULATION, 2001, 76 (02) :60-68
[4]
Hussin M. Z., 2010, Proceedings of the 2010 IEEE Control and System Graduate Research Colloquium (ICSGRC 2010), P55, DOI 10.1109/ICSGRC.2010.5562521
[5]
An efficient simulated annealing algorithm for network reconfiguration in large scale distribution systems [J].
Jeon, YJ ;
Kim, JC ;
Kim, JO ;
Shin, JR ;
Lee, KY .
IEEE TRANSACTIONS ON POWER DELIVERY, 2002, 17 (04) :1070-1078
[6]
Moore D. H., 2012, P IEEE ENERGYTECH CL, P399
[7]
IMPLEMENTATION OF GENETIC ALGORITHM FOR DISTRIBUTION-SYSTEMS LOSS MINIMUM RECONFIGURATION [J].
NARA, K ;
DEB, AK ;
SHIOSE, A ;
KITAGAWA, M ;
ISHIHARA, T .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1992, 7 (03) :1044-1051
[8]
Efficient reconfiguration of balanced and unbalanced distribution systems for loss minimisation [J].
Raju, G. K. Viswanadha ;
Bijwe, P. R. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2008, 2 (01) :7-12
[9]
Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation [J].
Rao, R. Srinivasa ;
Ravindra, K. ;
Satish, K. ;
Narasimham, S. V. L. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (01) :317-325
[10]
Optimal Network Reconfiguration of Large-Scale Distribution System Using Harmony Search Algorithm [J].
Rao, Rayapudi Srinivasa ;
Narasimham, Sadhu Venkata Lakshmi ;
Raju, Manyala Ramalinga ;
Rao, A. Srinivasa .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (03) :1080-1088