Distributed Generation Capacity Evaluation Using Combined Genetic Algorithm and OPF
作者： Gareth P Harrison , Antonio Piccolo , Pierluigi Siano , A. Robin Wallace
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摘要: A range of techniques has been proposed to define the optimal locations and capacities distributed generation (DG) as a means ensuring that maximum amount DG can be connected existing future networks. However, there are limitations inherent in these methods, not least finding best combination sites for connecting predefined number DGs. Here, method combining power flow genetic algorithms aims meet this requirement. Its use would enabling Distribution Network Operators search network available strategically connect defined DGs among large potential combinations. Some applications methodology confirmed its effectiveness sitting sizing an assigned units.
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M. Mardanch, G.B. Gharehpetian, Siting and sizing of DG units using GA and OPF based technique ieee region 10 conference. pp. 331- 334 ,(2004) , 10.1109/TENCON.2004.1414774
K. Nara, Y. Hayashi, K. Ikeda, T. Ashizawa, Application of tabu search to optimal placement of distributed generators 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194). ,vol. 2, pp. 918- 923 ,(2001) , 10.1109/PESW.2001.916995
Kyu-Ho Kim, Yu-Jeong Lee, Sang-Bong Rhee, Sang-Kuen Lee, Seok-Ku You, Dispersed generator placement using fuzzy-GA in distribution systems power engineering society summer meeting. ,vol. 3, pp. 1148- 1153 ,(2002) , 10.1109/PESS.2002.1043458
V. Calderaro, A. Piccolo, P. Siano, Maximizing DG penetration in distribution networks by means of GA based reconfiguration 2005 International Conference on Future Power Systems. ,vol. 2005, pp. 1- 6 ,(2005) , 10.1109/FPS.2005.204237
I. Chilvers, A. Shafiu, T. Bopp, N. Jenkins, G. Strbac, Operation, control and protection of active distribution networks Electricity Distribution, 2005. CIRED 2005. 18th International Conference and Exhibition on. pp. 1- 4 ,(2005) , 10.1049/CP:20051181
C.L. Masters, Voltage rise: the big issue when connecting embedded generation to long 11 kV overhead lines Power Engineering Journal. ,vol. 16, pp. 5- 12 ,(2002) , 10.1049/PE:20020101
S.N. Liew, G. Strbac, Maximising penetration of wind generation in existing distribution networks IEE Proceedings - Generation, Transmission and Distribution. ,vol. 149, pp. 256- 262 ,(2002) , 10.1049/IP-GTD:20020218
N.S. Rau, Yih-Heui Wan, Optimum location of resources in distributed planning IEEE Transactions on Power Systems. ,vol. 9, pp. 2014- 2020 ,(1994) , 10.1109/59.331463
P.N. Vovos, J.W. Bialek, Direct incorporation of fault level constraints in optimal power flow as a tool for network capacity analysis IEEE Transactions on Power Systems. ,vol. 20, pp. 2125- 2134 ,(2005) , 10.1109/TPWRS.2005.856975
G. Celli, E. Ghiani, S. Mocci, F. Pilo, A multiobjective evolutionary algorithm for the sizing and siting of distributed generation IEEE Transactions on Power Systems. ,vol. 20, pp. 750- 757 ,(2005) , 10.1109/TPWRS.2005.846219