Profit maximization by optimal allocation of capacitor in radial distribution system using cultural algorithm

Power loss in a distribution system is reduced indirectly by doing reactive power compensation. This is done through capacitor allocation at suitable bus locations using a metaheuristic technique named Cultural Algorithm. The objective of this approach is to maximize the profit by reducing the amount of real power loss and improving the quality of power by increasing the voltage level of each bus. Standard 9 bus and 34 bus radial distribution systems have been taken for implementation of this scheme. The real power loss of the first and second distribution system has been reduced from 783.7481 KW to 679.9211 KW and from 221.5 KW to 164.8 KW respectively after capacitors are optimally allocated using Cultural Algorithm. A profit factor for voltage improvement of each bus has been incorporated in this approach for achieving maximum profitable capacitor configuration.

[1]  H.K.M. Youssef,et al.  Optimal sizing of fixed capacitor banks placed on a distorted interconnected distribution networks by Genetic Algorithms , 2008, 2008 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering.

[2]  Nelson E. Chang,et al.  Generalized Equations on Loss Reduction with Shunt Capacitor , 1972 .

[3]  Ji-Pyng Chiou,et al.  Ant direction hybrid differential evolution for solving large capacitor placement problems , 2004 .

[4]  M.M. Hamada,et al.  A proposed strategy for capacitor allocation in radial distribution feeders , 2008, 2008 12th International Middle-East Power System Conference.

[5]  Wei Xie,et al.  Particle Swarm Optimization Based on Cultural Algorithm for Short-Term Optimal Operation of Cascade Hydropower Stations , 2009, 2009 Fifth International Conference on Natural Computation.

[6]  Robert G. Reynolds,et al.  Using knowledge-based system with hierarchical architecture to guide the search of evolutionary computation , 1999, Proceedings 11th International Conference on Tools with Artificial Intelligence.

[7]  Jose M. Yusta,et al.  Maximum savings approach for location and sizing of capacitors in distribution systems , 2008 .

[8]  Bala Venkatesh,et al.  Fuzzy EP algorithm and dynamic data structure for optimal capacitor allocation in radial distribution systems , 2006 .

[9]  Oliveira,et al.  [IEEE 2009 IEEE/PES Power Systems Conference and Exposition (PSCE) - Seattle, WA, USA (2009.03.15-2009.03.18)] 2009 IEEE/PES Power Systems Conference and Exposition - A Heuristic Constructive Algorithm for capacitor placement on distribution systems , 2008 .

[10]  A. Al-Hinai,et al.  OPTIMAL SHUNT CAPACITORS ALLOCATION IN DISTRIBUTION NETWORKS USING GENETIC ALGORITHM- PRACTICAL CASE STUDY , 2008 .

[11]  S. A. Soliman,et al.  New Heuristic Strategies for Reactive Power Compensation of Radial Distribution Feeders , 2002, IEEE Power Engineering Review.

[12]  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).

[13]  M. El-Hawary,et al.  Application of Fuzzy Logic for Reactive Power Compensation of Radial Distribution Feeders , 2002, IEEE Power Engineering Review.

[14]  Leandro dos Santos Coelho,et al.  Artificial Immune Network Combined with Normative Knowledge for Power Economic Dispatch of Thermal Units , 2009 .

[15]  Chung-Fu Chang,et al.  Reconfiguration and Capacitor Placement for Loss Reduction of Distribution Systems by Ant Colony Search Algorithm , 2008, IEEE Transactions on Power Systems.

[16]  Xiaohui Yuan,et al.  Application of cultural algorithm to generation scheduling of hydrothermal systems , 2006 .

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

[18]  M. E. Baran,et al.  Optimal capacitor placement on radial distribution systems , 1989 .

[19]  Shesha H. Jayaram,et al.  Capacitor placement in distribution systems using heuristic search strategies , 1997 .

[20]  Jun Liu,et al.  Urban power network substation optimal planning based on geographic culture algorithm , 2007, 2007 International Power Engineering Conference (IPEC 2007).

[21]  Leandro dos Santos Coelho,et al.  Improved differential evolution approach based on cultural algorithm and diversity measure applied to solve economic load dispatch problems , 2009, Math. Comput. Simul..

[22]  Alberto Ochoa,et al.  A Game Board Implementing Data Mining and Cultural Algorithms , 2007 .

[23]  Robert G. Reynolds,et al.  Knowledge Integration On-The-Fly in Swarm Intelligent Systems , 2006, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06).

[24]  Konstantinos G. Margaritis,et al.  A multipopulation cultural algorithm for the electrical generator scheduling problem , 2002, Math. Comput. Simul..

[25]  S. Hadjeri,et al.  ANT COLONY OPTIMIZATION TO SHUNT CAPACITOR ALLOCATION IN RADIAL DISTRIBUTION SYSTEMS , 2005 .

[26]  E. G. M. de Lacerda,et al.  Capacitor Placement Using Ant Colony Optimization and Gradient , 2009 .

[27]  Robert G. Reynolds,et al.  Cultural algorithms: modeling of how cultures learn to solve problems , 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

[28]  Mahmud Fotuhi-Firuzabad,et al.  Distribution system reliability enhancement using optimal capacitor placement , 2008 .

[29]  M.R. Hesamzadeh,et al.  Application of a new hybrid optimization method for optimum distribution capacitor planning , 2007, 2007 International Power Engineering Conference (IPEC 2007).

[30]  M. Sydulu,et al.  Particle Swarm Optimization Based Capacitor Placement on Radial Distribution Systems , 2007, 2007 IEEE Power Engineering Society General Meeting.