A novel population-based optimization algorithm for optimal distribution capacitor planning

Optimal distribution capacitor planning is an important task for economic operation of power systems. The optimal distribution capacitor planning is a combinatorial optimization problem which considers both power losses and cost of capacitor installation subject to bus voltage constraints. Discrete nature of capacitors, different load are considered in the problem formulation. This paper presents a novel reliable and efficient algorithm based on biogeography-based optimization technique for the solution of capacitor placement problem. Biogeography-based optimization technique is inspired by geographical distribution of biological organisms. The performance of the proposed method is demonstrated on a sample test system. The results obtained by the proposed methods are compared with other methods. The results show that the proposed technique is capable of producing comparable results.

[1]  M. E. Baran,et al.  Optimal sizing of capacitors placed on a radial distribution system , 1989 .

[2]  J. Grainger,et al.  Optimum Size and Location of Shunt Capacitors for Reduction of Losses on Distribution Feeders , 1981, IEEE Transactions on Power Apparatus and Systems.

[3]  Loi Lei Lai,et al.  Application of evolutionary programming to reactive power planning-comparison with nonlinear programming approach , 1997 .

[4]  Hernando Dura,et al.  Optimum Number, Location, and Size of Shunt Capacitors in Radial Distribution Feeders A Dynamic Programming Approach , 1968 .

[5]  J. Grainger,et al.  Optimum Placement of Fixed and Switched Capacitors on Primary Distribution Feeders , 1981, IEEE Transactions on Power Apparatus and Systems.

[6]  Dan Simon,et al.  Biogeography-Based Optimization , 2022 .

[7]  A. Y. Chikhani,et al.  Classification of capacitor allocation techniques , 2000 .

[8]  J. J. Grainger,et al.  Capacity Release by Shunt Capacitor Placement on Distribution Feeders: A New Voltage-Dependent Model , 1982, IEEE Power Engineering Review.

[9]  Anil Pahwa,et al.  Optimal selection of capacitors for radial distribution systems using a genetic algorithm , 1994 .

[10]  Ching-Tzong Su,et al.  A new fuzzy-reasoning approach to optimum capacitor allocation for primary distribution systems , 1996, Proceedings of the IEEE International Conference on Industrial Technology (ICIT'96).

[11]  Ji-Pyng Chiou,et al.  Optimal Capacitor Placement in Distribution Systems Employing Ant Colony Search Algorithm , 2005 .

[12]  T. Wesche,et al.  Modified Habitat Suitability Index Model for Brown Trout in Southeastern Wyoming , 1987 .

[13]  Yaowu Wu,et al.  A PSO-based approach to optimal capacitor placement with harmonic distortion consideration , 2004 .

[14]  C. Wang,et al.  Reactive power optimization by plant growth simulation algorithm , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[15]  Jin-Cheng Wang,et al.  Optimal capacitor placements in distribution systems. I. A new formulation and the overall problem , 1990 .

[16]  Yahia Baghzouz,et al.  Shunt capacitor sizing for radial distribution feeders with distorted substation voltages , 1990 .