Parallel particle swarm optimization for reactive power and voltage control investigating dependability

This paper presents a parallel particle swarm optimization (PSO) technique for reactive power and voltage control (Volt/Var Control: VVC) investigating dependability. High penetration of renewable energies and deregulation of power systems force power flow to change suddenly and operators in control centers have to control voltage in wider power systems. Therefore, VVC is required to shorten the control interval and handle larger-scale power systems. One of the solutions for the problem is applications of parallel and distributed computing. Since power system is one of the infrastructures of social community, sustainable voltage control is crucial and dependability is strongly required for VVC. This paper investigates not only fast computation by parallel computation but also dependability of parallel PSO for VVC with IEEE 14, 30, 57, and 118 bus systems.

[1]  K. S. Swarup,et al.  Network loss minimization with voltage security using differential evolution , 2008 .

[2]  Armando M. Leite da Silva,et al.  A Gradient-Based Artificial Immune System Applied to Optimal Power Flow Problems , 2007, ICARIS.

[3]  Bhimrao S. Umre,et al.  Reactive power control using dynamic Particle Swarm Optimization for real power loss minimization , 2012 .

[4]  M. Kalantar,et al.  Optimal reactive power dispatch based on harmony search algorithm , 2011 .

[5]  Chaohua Dai,et al.  Dynamic multi-group self-adaptive differential evolution algorithm for reactive power optimization , 2010 .

[6]  Yang Yan,et al.  Parallel multi-population Particle Swarm Optimization Algorithm for the Uncapacitated Facility Location problem using OpenMP , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

[7]  Vladimiro Miranda,et al.  NEW EVOLUTIONARY PARTICLE SWARM ALGORITHM (EPSO) APPLIED TO VOLTAGE/VAR CONTROL , 2002 .

[8]  Yi Liu,et al.  Dynamic optimal reactive power dispatch based on parallel particle swarm optimization algorithm , 2009, Comput. Math. Appl..

[9]  Yoshikazu Fukuyama,et al.  A particle swarm optimization for reactive power and voltage control considering voltage security assessment , 2000 .

[10]  Chaohua Dai,et al.  Seeker Optimization Algorithm for Optimal Reactive Power Dispatch , 2009, IEEE Transactions on Power Systems.

[11]  B J Fregly,et al.  Parallel global optimization with the particle swarm algorithm , 2004, International journal for numerical methods in engineering.

[12]  Chen-Jun Sun,et al.  A modified particle swarm optimization algorithm and its application in optimal power flow problem , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[13]  Juan M. Ramirez,et al.  An investigation about the impact of the optimal reactive power dispatch solved by DE , 2011 .

[14]  H. Yoshida,et al.  A particle swarm optimization for reactive power and voltage control considering voltage security assessment , 1999, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[15]  G RamosA.,et al.  A Hybrid Tool To Assist the Operator in Reactive Power/Voltage Control , 1995 .

[16]  Ulaş Kılıç,et al.  Artificial bee colony algorithm solution for optimal reactive power flow , 2012, Appl. Soft Comput..

[17]  K. S. Swarup,et al.  Differential evolutionary algorithm for optimal reactive power dispatch , 2008 .

[18]  K. Tomsovic.  A fuzzy linear programming approach to the reactive power/voltage control problem , 1992 .

[19]  Michael Negnevitsky,et al.  Network equivalents and expert system application for voltage and VAR control in large-scale power systems , 1997 .

[20]  Q. H. Wu,et al.  Power system optimal reactive power dispatch using evolutionary programming , 1995 .

[21]  Xianzhong Duan,et al.  Study of differential evolution for optimal reactive power flow , 2007 .

[22]  P. Subbaraja,et al.  Optimal reactive power dispatch using self-adaptive real coded genetic algorithm , 2016 .

[23]  A. Volta.  CONTINGENCY CONSTRAINED OPTIMAL REACTIVE POWER FLOW PROCEDURES FOR VOLTAGE CONTROL IN PLANNING AND OPERATION , 1995 .

[24]  Mauro Birattari,et al.  Swarm Intelligence , 2012, Lecture Notes in Computer Science.

[25]  Tjorben Bogon,et al.  An Agent Based Parallel Particle Swarm Optimization - APPSO , 2009, 2009 IEEE Swarm Intelligence Symposium.

[26]  Byung-Il Koh,et al.  Parallel asynchronous particle swarm optimization , 2006, International journal for numerical methods in engineering.

[27]  Chaohua Dai,et al.  Reactive power dispatch considering voltage stability with seeker optimization algorithm , 2009 .

[28]  K.P. Wong,et al.  Parallel Optimal Reactive Power Flow Based on Cooperative Co-Evolutionary Differential Evolution and Power System Decomposition , 2007, IEEE Transactions on Power Systems.

[29]  Yutian Liu,et al.  Reactive power optimization based on PSO in a practical power system , 2004, IEEE Power Engineering Society General Meeting, 2004..

[30]  Barbara Chapman,et al.  Using OpenMP - portable shared memory parallel programming , 2007, Scientific and engineering computation.

[31]  P. Pruvot,et al.  An improved voltage control on large-scale power system , 1996 .