Voltage Profile Index Enrichment and Dwindling of Real Power Loss by using Acclimatized Imperialist Competitive Algorithm

In this paper, Acclimatized Imperialist Competitive Algorithm (AICA) is proposed for solving reactive power dispatch problem. The Imperialist Competitive Algorithm (ICA) was recently introduced has shown its good performance in optimization problems. This novel optimization algorithm is enthused by socio-political progression of imperialistic competition in the real world .The ICA is straightforwardly stuck into a local optimum when solving numerical optimization problems. In the proposed algorithm, for an effective search, the amalgamation Policy changed dynamically to adapt the angle of colonies movement towards imperialist’s position. To overcome this inadequacy we use probabilistic model that make use of the information of colonies positions to balance the exploration and exploitation aptitude of the imperialistic competitive algorithm. Using this mechanism, ICA exploration capability will augmented. The proposed (AICA) algorithm has been tested on standard IEEE 57 bus test system and simulation results shows clearly about the good performance of the proposed algorithm in reducing the real power loss.

[1]  Peter Cheeseman,et al.  On the Representation and Estimation of Spatial Uncertainty , 1986 .

[2]  A.C.Z. de Souza,et al.  Comparison of performance indices for detection of proximity to voltage collapse , 1996 .

[3]  Cristian Bovo,et al.  A GA approach to compare ORPF objective functions including Secondary Voltage Regulation , 2012 .

[4]  F. Capitanescu,et al.  Assessing Reactive Power Reserves With Respect to Operating Constraints and Voltage Stability , 2011, IEEE Transactions on Power Systems.

[5]  O. Alsac,et al.  Optimal Load Flow with Steady-State Security , 1974 .

[6]  Ching-Tzong Su,et al.  Optimal setting of reactive compensation devices with an improved voltage stability index for voltage stability enhancement , 2012 .

[7]  Caro Lucas,et al.  Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition , 2007, 2007 IEEE Congress on Evolutionary Computation.

[8]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[9]  Hitoshi Iba,et al.  Linear and Combinatorial Optimizations by Estimation of Distribution Algorithms , 2002 .

[10]  Osvaldo R. Saavedra,et al.  Optimal reactive power dispatch using evolutionary computation: extended algorithms , 1999 .

[11]  S. M. Shahidehpour,et al.  Linear reactive power optimization in a large power network using the decomposition approach , 1990 .

[12]  S. R. Paranjothi,et al.  Optimal Power Flow Using Refined Genetic Algorithm , 2002 .

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

[14]  Zechun Hu,et al.  Stochastic optimal reactive power dispatch: Formulation and solution method , 2010 .

[15]  B. Yegnanarayana,et al.  Genetic-algorithm-based optimal power flow for security enhancement , 2005 .

[16]  Bala Venkatesh,et al.  A new optimal reactive power scheduling method for loss minimization and voltage stability margin maximization using successive multi-objective fuzzy LP technique , 2000 .

[17]  Thia Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .

[18]  D.C. Yu,et al.  A novel optimal reactive power dispatch method based on an improved hybrid evolutionary programming technique , 2004, IEEE Transactions on Power Systems.

[19]  A. Monticelli,et al.  Security-Constrained Optimal Power Flow with Post-Contingency Corrective Rescheduling , 1987, IEEE Transactions on Power Systems.

[20]  K. Lee,et al.  A United Approach to Optimal Real and Reactive Power Dispatch , 1985, IEEE Transactions on Power Apparatus and Systems.

[21]  Amin Kargarian,et al.  Probabilistic reactive power procurement in hybrid electricity markets with uncertain loads , 2012 .

[22]  Kwang Y. Lee,et al.  Optimal Real and Reactive Power Control Using Linear Programming , 1993 .

[23]  Sakti Prasad Ghoshal,et al.  Optimal VAR control for improvements in voltage profiles and for real power loss minimization using Biogeography Based Optimization , 2012 .