Optimal Capacitor Allocation Based on Fuzzy Inference and Fuzzy Multi-Objective Programming in Distribution Network

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This paper presents an algorithm using a stepwise programming method to determine the suitable locations for capacitors installations and their ratings in distribution networks. The Voltage and loss reduction capability of nodes are regarded as input indices. The fuzzy inference method is used to obtain capacitor placement suitability of every node. The node having the highest suitability is selected as the compensation node. The energy losses of three time periods and the peak charge are modeled as optimization objective. Fuzzy multi-objective programming is used to determine the proper sizes of the capacitors. Considering the each capacitor rating interaction, the circulation calculation method is used to recalculate the capacitor rating for compensated nodes. The results of test system demonstrate the effectiveness and practicability of the method.

Info:

Periodical:

Advanced Materials Research (Volumes 354-355)

Edited by:

Hao Zhang, Yang Fu and Zhong Tang

Pages:

1099-1104

DOI:

10.4028/www.scientific.net/AMR.354-355.1099

Citation:

W. Wang et al., "Optimal Capacitor Allocation Based on Fuzzy Inference and Fuzzy Multi-Objective Programming in Distribution Network", Advanced Materials Research, Vols. 354-355, pp. 1099-1104, 2012

Online since:

October 2011

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Price:

$35.00

[1] Liu Jian, Yan Kun, Cheng Hongli. Optimal planning of shunt capacitors based reactive power compensation for arbores cent feeders. [J]. Power System Technology,2006,30(18):81-84.

[2] Li Lincuan, Wang Jianyong, Chen Liyi, Song Wennan. Optimal reactive power planning of electrical power system[J]. Proceedings of the CSEE,1999,19(2):66-69.

[3] Yu Jianming, Du Gang, Yao Lixiao. Application of genetic algorithm combining sensitivity analysis to optimized planning of reactive power compensation for distribution networks[J]. Power System Technology,2002,26(7):46-49.

[4] Zhang Lizi, Shu Jun, Lin Xiaoshu, et al. Reactive power planning based on genetic algorithm[J]. Proceedings of the CSEE,2000,20(6):5-8.

[5] Yun Xinmei, Li Yan, Xiong Xinyin, et al. Optimal shunt capacitor placement using particle swarm optimization algorithm with harmonic distortion consideration[J]. Proceedings of the CSEE,2003,23(2):26-30.

[6] Ding Xiaoqun, Wang Kuan, Shen Maoya, et al. Application of Genetic Algorithm combining modal analysis in reactive power planning for distribution network [J]. Power System Technology,2006,30(17):47-50.

[7] Li Yanan, Zhang Lizi, Shu, Juan, et al. Application of expert knowledge adopted genetic algorithm to optimization of reactive power planning[J]. Power System Technology,2001,25(7):14-17.

[8] T.S. Abdel-Salam, A.Y. Chikhani, R. Hackam. A new technique for loss reduction using compensating capacitors applied to distribution systems with varying load condition[J]. IEEE Trans. On Power Delivery, 1994, 9(2):819-827.

DOI: 10.1109/61.296262

[9] M. Chis, M.M.A. Salama, S. Jayaram. Capacitor placement in distribution systems using heuristic search strategies[J]. IEE Proceeding Generation, Transmission and Distribution, 1997, 144(2):225-230.

DOI: 10.1049/ip-gtd:19970945

[10] H.N. Ng, M.M.A. Salama, A.Y. Chikhani. Capacitor allocation by approximate reasoning: fuzzy capacitor placement[J]. IEEE Trans On Power Delivery, 2000, 15(1):393-398.

DOI: 10.1109/61.847279

[11] Wang Peizheng. Fuzzy set theory and its applications[D]. Shanghai Technology Publish Company,(1983).

[12] P. Jarventausta, P. Verho, J. Partanen. Using fuzzy sets to model the uncertainty in fault location process of distribution network. IEEE Trans On Power Delivery, 1994, 9(2):954-960.

DOI: 10.1109/61.296278

[13] Y.Y. Hsu, K.L. Ho. Fuzzy expert systems: An application to short-term load forecasting. IEE Proceedings-C, 1992, 139(6):471-477.

DOI: 10.1049/ip-c.1992.0066

[14] Zhan Yan. The evaluation method of fuzzy reliability in electric power network planning[J]. Proceedings of the CSEE, 2000,20(11):77-80.

[15] Chen Weihua, Jiang Quanyuan, Chao Yijia. Voltage vulnerability assessment based on risk theory and fuzzy reasoning [J]. Proceedings of the CSEE, 2005,25(24):20-25.

[16] Bob Orchard. FuzzyCLIPS Version 6. 10d User's Guide. National Research Council Canada. October (2004).

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