Applying the Fvsi-Generation tracing and hybrid ant colony algorithm for effective static generation power dispatch

This paper proposes the latest application of power tracing technique for voltage stability improvement. Instead of solving losses charge allocation problem in deregulated power market as performed by many researchers, the proposed technique can be implemented for effective static generation power dispatch; that is, by determining suitable generating units involved in re-dispatching with the aim of providing a more economical and effective power generation. Using power tracing approach, the determination of suitable generating units can be done by means of stability index tracing or specifically termed as Fast Voltage Stability Index-Generation Tracing (FVSI-GT). After deriving a ranking list of generator buses via FVSIGT, the real and reactive power of the selected generators are sized using a new hybrid algorithm; the Blended Crossover Continuous Ant Colony Optimization (BX-CACO). Simulation and experiment on IEEE 57-Bus reliability test system (RTS) justified the reliability of FVSI-GT for precise selection of suitable generators besides other conventional ranking methods. In addition, the proposed BX-CACO showed a tremendous performance in terms of convergence speed and solution quality.

[1]  Sakti Prasad Ghoshal,et al.  A novel crazy swarm optimized economic load dispatch for various types of cost functions , 2008 .

[2]  Belgin Emre Turkay,et al.  A novel differential evolution application to short-term electrical power generation scheduling , 2011 .

[3]  J. Usaola,et al.  Security-constrained optimal generation scheduling in large-scale power systems , 2006, IEEE Transactions on Power Systems.

[4]  Ching-Tzong Su,et al.  New approach with a Hopfield modeling framework to economic dispatch , 2000 .

[5]  Marco Dorigo,et al.  Ant colony optimization for continuous domains , 2008, Eur. J. Oper. Res..

[6]  Janusz Bialek,et al.  Topological generation and load distribution factors for supplement charge allocation in transmission open access , 1997 .

[7]  N. D. Hatziargyriou,et al.  Evaluation of transmission pricing methodologies for pool based electricity markets , 2011, 2011 IEEE Trondheim PowerTech.

[8]  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 .

[9]  Mohammad Shahidehpour,et al.  Generation scheduling with thermal stress constraints , 2003 .

[10]  Malabika Basu,et al.  A simulated annealing-based goal-attainment method for economic emission load dispatch of fixed head hydrothermal power systems , 2005 .

[11]  Ismail Musirin,et al.  Evolutionary programming optimization technique for solving reactive power planning power system , 2005 .

[12]  Wahyu Kusuma,et al.  Journal of Theoretical and Applied Information Technology , 2012 .

[13]  S. Afsharnia,et al.  A novel approach to allocate transmission embedded cost based on MW-Mile method under deregulated environment , 2008, 2008 IEEE Canada Electric Power Conference.

[14]  Songfeng Lu,et al.  An improved quantum-behaved particle swarm optimization method for short-term combined economic emission hydrothermal scheduling , 2010 .

[15]  Jen-Hao Teng,et al.  Power flow and loss allocation for deregulated transmission systems , 2005 .

[16]  R. K. Ursem Multi-objective Optimization using Evolutionary Algorithms , 2009 .

[17]  W.L. Kling,et al.  Impacts of Wind Power on Thermal Generation Unit Commitment and Dispatch , 2007, IEEE Transactions on Energy Conversion.

[18]  Mohd Wazir Mustafa,et al.  Reactive power tracing in pool-based power system utilising the hybrid genetic algorithm and least squares support vector machine , 2012 .

[19]  Goran Strbac,et al.  Contributions of individual generators to loads and flows , 1997 .

[20]  Mun-Kyeom Kim,et al.  A new approach to security-constrained generation scheduling of large-scale power systems with a piecewise linear ramping model , 2012 .

[21]  Seema Singh,et al.  Reactive power cost allocation by using a value-based approach , 2009 .

[22]  Malabika Basu Artificial immune system for combined heat and power economic dispatch , 2012 .

[23]  Nanming Chen,et al.  A double-filtration algorithm for optimal scheduling of thermal units , 2004, IEEE Transactions on Power Systems.

[24]  J. Yuryevich,et al.  Evolutionary-programming-based algorithm for environmentally-constrained economic dispatch , 1998 .

[25]  Muhammad Murtadha Othman,et al.  New formulation technique for generation tracing via evolutionary programming , 2011 .

[26]  I. Musirin,et al.  Evolutionary programming based optimization technique for maximum loadability estimation in electric power system , 2003, Proceedings. National Power Engineering Conference, 2003. PECon 2003..

[27]  Ismail Musirin,et al.  Application of electricity tracing theory and hybrid ant colony algorithm for ranking bus priority in power system , 2012 .

[28]  Ismail Musirin,et al.  Optimization assisted load tracing via hybrid ant colony algorithm for deregulated power system , 2012 .

[29]  S. Surender Reddy,et al.  Congestion management in deregulated power system by optimal choice and allocation of FACTS controllers using multi-objective genetic algorithm , 2010, T&D 2010.

[30]  S.A. Soman,et al.  Optimization approach to real power tracing: an application to transmission fixed cost allocation , 2006, IEEE Transactions on Power Systems.

[31]  Hadi Saadat,et al.  Power System Analysis , 1998 .