Research of Power Flow Distribution Evenness Based on Entropy

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Abstract:

Research of power flow evenness has great significance for grid steady state analysis. This paper researched for a method for power flow evenness analysis through entropy theory. According to current power flow distribution and branch power limits, the branch load ratio distribution could be obtained, and the power flow entropy was calculated based on discrete information entropy theory. The study case indicates that the power flow entropy effectively describes the power flow evenness. With certain system load level, the system security level will be dramatically declined when power flow evenness reduces to a certain level, which is demonstrated in the case meanwhile. Power flow evenness analysis based on entropy theory is applicable in power system static security assessment.

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Periodical:

Advanced Materials Research (Volumes 960-961)

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1120-1123

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] CAO Yijia, WANG Guangzeng. Research on power system complexity and related topics, Electric Power Automation Equipment, vol. 30, no. 2, pp.5-9, 2010(In Chinese).

Google Scholar

[2] YAO Jianguo, YANG Shengchun, WANG Ke, YANG Zhenglin, SONG Xiaofang. Concept and Research Framework of Smart Grid "Source-Grid-Load" Interactive Operation and Control, Automation of Electric Power Systems, vol. 36, no. 21, pp.1-6, 2012(In Chinese).

Google Scholar

[3] CAO Yijia, WANG Guanagzeng, CAO Lihua, DING Lijie. An Identification Model for Self-organized Criticality of Power Grid Based on Power Flow Entropy, Automation of Electric Power Systems, vol. 25, no. 7, pp.1-6, 2011(In Chinese).

Google Scholar

[4] ZHENG Yanan, ZHOU Ming, LI Gengyin. An Information Entropy Based Contingency Enumeration Approach for Available Transfer Capability Assessment, Power System Technology, vol. 35, no. 11, pp.107-113, 2011(In Chinese).

DOI: 10.1109/powercon.2010.5666372

Google Scholar

[5] Li Zhimin, Li Weixing, Wang Yongjian. Surrogate Constraint Algorithm fo Optimal Power Flow Based on the Entropy Theory, Automation of Electric Power Systems, vol. 25, no. 11, pp.28-31, 2001(In Chinese).

Google Scholar

[6] Trevor Williams, Curran Crawford. Probabilistic Load Flow Modeling Comparing Maximum Entropy and Gram-Charlier Probability Density Function Reconstructions, IEEE Trans.on Power Systems, vol. 28, no. 1, pp.272-280, (2013).

DOI: 10.1109/tpwrs.2012.2205714

Google Scholar

[7] HE Zheng-you, CAI Yu-mei, QIAN Qing-quan. A Study of Wavelet Entropy Theory and its Application in Electric Power System Fault Detection, Proceedings of the CSEE, vol. 25, no. 5, pp.38-43, 2005(In Chinese).

Google Scholar