Optimal Planning on Reactive Power Compensation of Distribution Network Based on Back/Forward Sweep Method and Tabu Search Algorithm

Article Preview

Abstract:

This paper proposes the optimization method on reactive power compensation of distribution network. The objective is that total loss difference between before being compensated and after should get maximum. The method adopts back/forward sweep method for calculating power flow to obtain total active network loss. Then global neighborhood searching strategy and aspiration criterion for fixed parallel capacitor are established by tabu search algorithm. The optimal installation location and compensation capacity of fixed parallel capacitor are determined. Optimizing simulation on a 34 nodes distribution system is realized, and optimal planning scheme is obtained. Results show that the proposed method is feasible and effective in optimal planning on reactive power compensation of distribution network.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1132-1136

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] CHENG Ying, LIU Ming-bo. Reactive-Power optimization of large-scale power systems with discrete control variables[J]. Proceedings of the CSEE, 2002, 22(5): 54-60.

Google Scholar

[2] DING Xiao-ying, WANG Xi-fun, ZHANG Xian, etc. Mixed integer optimal power flow based on interior point cutting plane method[J]. Proceedings of the CSEE, 2004, 24(2): 1-7.

Google Scholar

[3] Liu M B, Tso S K, Cheng Y. An extended nonlinear primal-dual interior-point algorithm for reactive-power optimization of large-scale power systems with discrete control variables[J]. IEEE Transactions on Power Systems, 2002, 17(4): 982-991.

DOI: 10.1109/tpwrs.2002.804922

Google Scholar

[4] GRAINGER,J.J., and LEE. S.H.: Optimum size and location of shunt capacitors for reduction of losses on distribution systems, [J]. IEEE Trans., 1981, PAS-100, (3), pp.1105-1118.

DOI: 10.1109/tpas.1981.316577

Google Scholar

[5] OSMAN I H, WASSAN N A. A reactive tabu search meta heuristic for the vehicle routing problem with backhauls[J]. Journal of Scheduling . 2002, 5(4): 263-285.

DOI: 10.1002/jos.122

Google Scholar

[6] ABDEL-SALAM,T.S., CHIKHANI, A.Y., and HACKAM, R.: A new technique for loss reduction using compensating capacitors applied to distribution systems with varying load condition, [J]. IEEE Trans. Power Delivery, 1994, 9, (2), pp.819-827.

DOI: 10.1109/61.296262

Google Scholar

[7] M. Chis, M.M.A. Salama, S. Jayaram. Capacitor placement in distribution systems using heuristic search strategies[J]. IEE Psoc. -Gener. Transm. Distsib, 1997, 144(3): 225-230.

DOI: 10.1049/ip-gtd:19970945

Google Scholar

[8] Ahmed A. A. Esmin, Germano Lambert-Torres. A hybrid particle swarm optimization applied to loss power minimization [J]. IEEE Transactions on Power Systems, 2005: 20(2): 859-863.

DOI: 10.1109/tpwrs.2005.846049

Google Scholar