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Fuzzy optimal placement of capacitors in the presence of nonlinear loads in unbalanced distribution networks using bf-PSO algorithm

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APPLIED SOFT COMPUTING 2011年第4期11卷 3634-3642页

作者： Mohkami, H. Hooshmand, R. Khodabakhshian, A. Univ Isfahan Dept Elect Engn Esfahan Iran

This paper presents a new method to optimize locating and the size of fixed and switching capacitor banks based on bacterial foraging (bf) oriented by particle swarm optimization (PSO) algorithm (bf-PSO). The algorithm is proposed for radial and meshed networks in the presence of unbalanced and nonlinear loads. The objective function considers the minimization of the total energy loss costs and capacitor installation cost, network total harmonic distortion (THD) index, and the deviation of the voltage fundamental component from the permitted value. Since these parameters do not have similar units and variation ranges, a membership degree is assigned to each parameter by using fuzzy sets. The IEEE 123-Bus distribution network is used to test the proposed method. The simulation results of the proposed algorithm are compared with PSO, bf and genetic algorithms to show the efficiency of this method to reduce the system costs. (C) 2011 Elsevier B.V. All rights reserved.

关键词： Optimal capacitor placement Harmonic power flow bf algorithm PSO Distribution networks

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Corrective action planning considering FACTS allocation and optimal load shedding using bacterial foraging oriented by particle swarm optimization algorithm

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TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 2010年第4期18卷 597-612页

作者： Hooshmand, Rahmat Allah Pour, Mostafa Ezatabadi Univ Isfahan Dept Elec Eng Esfahan *** Iran

Reactive power planning (RPP) involves optimal allocation and determination of the type and size of new reactive power (VAR) supplies to satisfy voltage constraints during normal and contingency states. The RPP issue is in fact an optimization of large scale mixed integer nonlinear programming problem, so it is proper to use an evolutionary algorithm to solve the problem. In this paper, in order to solve the RPP problem for corrective action of power systems, the bacterial foraging (bf) oriented by particle swarm optimization (PSO) algorithm (bf-PSO) is proposed. In the algorithm, the VAR control has been carried out by using flexible AC transmission systems (FACTS) devices, in order to minimize the installation costs of these devices. In order to determine the saving rate in the costs, corrective control is also performed by the utilization of load shedding algorithm. The IEEE 57-Bus system, is used to test the proposed method. The simulation results of the proposed algorithm are compared with PSO and genetic algorithms (GA) to show the efficiency of this method in the RPP problem.

关键词： FACTS Devices Reactive Power Planning Load Shedding bf algorithm PSO algorithm

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A Single-pattern Matching algorithm Base on Twice Jumps in the Intrusion Detection Systems 12

A Single-pattern Matching Algorithm Base on Twice Jumps in t...

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12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Yang, Zhongming Lin, Shen Comp Engn Tech Coll Guangdong Inst Sci & Technol Guangdong Prov Key Lab Petrochem Zhuhai 519090 Guangdong Peoples R China Shenzhen Youfang Technol Co Ltd Shenzhen 518109 Guangdong Peoples R China

ISBN: (纸本)9781467376822

The pattern matching algorithm is one of the core algorithms used in the intrusion detection system. The classical snort system has completed the matching for characteristic string of intrusion through the BM single-pattern algorithm. In actual application, the Sunday algorithm has a efficiency higher than the BM algorithm. In this text, an extra jump array was added to the jump arrays of the Sunday algorithm. When it appears unequal characters during the procedure of matching, make twice jumps successively and help decrease the redundant matching to a greater extent. This text describes how to realize twice-jumps algorithm and its analysis and experimental verification show the accuracy and efficiency of the improved algorithm compared with the Sunday algorithm.

关键词： string matching BM algorithm bf algorithm KMP algorithm Sunday algorithm

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A Single-pattern Matching algorithm Base on Twice Jumps in the Intrusion Detection Systems

A Single-pattern Matching Algorithm Base on Twice Jumps in t...

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International Conference on Fuzzy Systems and Knowledge Discovery

作者： Zhongming Yang Shen Lin Guangdong Provincial Key Lab. of Petrochem. Equip. Fault Diagnosis Guangdong Inst. of Sci. & Technol. Zhuhai China

ISBN: (纸本)9781467376839

关键词： component string matching BM algorithm bf algorithm KMP algorithm Sunday algorithm

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