Abstract

Power system engineers are facing difficulty in economic operation of the large interconnected power system. Economic dispatch of large interconnected power system is complex, constrained and nonlinear problem which require rigorous and complex calculations before taking any decision apropos to power dispatch. Evolutionary algorithms have been nowadays frequently used for optimum performance of nonlinear and complex systems. This paper proposed to develop an evolutionary algorithm which considers all constraints of power dispatch for economic operation of the power system.

References

• Harijan, Khanji; Uqaili, Mohammad A. ; Memon, Mujeebuddin; Mirza, Umar "Forecasting the diffusion of wind power in Pakistan", Journal of Energy, 2011.
• F. Rivas-Davalos et al, "Multiobjective Optimization Challenges in Power System: The Next Step Forward", Proceeding CERMA '07 Proceedings of the Electronics, Robotics and Automotive Mechanics Conference Pages 681-686, IEEE Computer Society Washington, DC, USA, 2007
• Munawar Ali Bhund, "Economic Dispatch Using Genetic Algorithm with Application to Thermal Power Station Jamshoro", Post Graduate Directorate, Mehran University of Engineering and Technology Jamshoro, Pakistan, 2011
• M. A. Abido, "Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem", IEEE transactions on evolutionary computation, vol. 10, no. 3, June 2006
• G. A. Bakare, U. O. Aliyu, G. K. Venayagamoorthy, Y. K. Shu'aib, "Genetic Algorithms Based Economic Dispatch with Application to Coordination of Nigerian Thermal Power Plants", IEEE, 2005.
• Mimoun Younes, Mostefa Rahli, Lahouari Abdelhakem Koridak, "Economic Power Dispatch using Evolutionary Algorithm", Journal of ELECTRICAL ENGINEERING, 2005.
• Saranjeet, "Evolutionary algorithm assisted optimal placement of FACTS controllers in power system", Electrical and instrumentation engineering department, Thapar University, Patiala, Master of Engineering in Power Systems & Electric Drives, July 2009
• S O. Orero and M. R. Irving, "A genetic algorithm modelling framework and solution technique for short term optimal hydrothermal scheduling", IEEE Transactions on Power Systems, 1998.
• Amer Hasanovi, "A Simulation and Analysis Toolbox for Power Systems and Genetic Algorithm Based Damping Controller Design", Lane Department of Computer Science and Electrical Engineering, College of Engineering and Mineral Resources at West Virginia University, 2001
• Bazmi, A, A, Zahedi, G, "Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review", Journal of Renewable and Sustainable Energy Reviews, 2011.
• Golpîra . H, Bevrani, H, Golpîra . H, "Application of GA optimization for automatic generation control design in an interconnected power system", Journal of Energy Conversion and Management, 2011
• Yan. G, Hongbin, S, "The Economic Operation of the Interconnect Electric Power System Based on the Genetic Algorithm", IEEE, 2010.
• Wua. L. H, Wangs. Y. N, Yuans. X. F, Zhou. S. W, "Environmental/economic power dispatch problem using multi-objective differential evolution algorithm", Journal of Electric Power Systems Research, 2010.
• Chaturvedi. K. T, Pandit . M, Srivastava. L, "Particle swarm optimization with crazy particles for nonconvex economic dispatch", Journal of Applied Soft Computing, 2008
• Abou El-Ela. A. A. , Fetouh . T, Bishr . M. A. , Saleh . R. A. F , "Power systems operation using particle swarm optimization technique", Journal of Electric Power Systems Research, 2008.
• H. Altun, T. Yalcinoz, "Implementing soft computing techniques to solve economic dispatch problem in power systems", Expert Systems with Applications, 2008.
• Jiann-Fuh Chen, Huang-Cheng Chen, Ching-Lien Huang, "The uniqueness of the local minimum for power economic dispatch problems" Electric Power Systems Research, 1995.
• C. A. Roa-Sepulveda, M. Herrera, B. Pavez-Lazo, U. G. Knight, A. H, "Coonick Economic dispatch using fuzzy decision trees " , Electric Power Systems Research, 2003.
• Hongming Yang, Jun Yi, Junhua Zhao, ZhaoYang Dong, "Extreme learning machine based genetic algorithm and its application in power system economic dispatch" Neurocomputing, 2012, In Press.