Asian Journal of Electrical Sciences (AJES)
Multiarea Economic-Emission Dispatch Using Simplex Based Particle Swarm Optimization MethodAuthor : Namarta Chopra, Y. S. Brar and J. S. Dhillon
Volume 7 No.1 January-June 2018 pp 29-36
This paper introduces the hybridization of Particle Swarm Optimization (PSO) with Simplex Search Method (SSM) in the field of Multi Area Power Dispatch (MAPD) problem. The proposed simplex based particle swarm optimization (SPSO) helps in refining the global solution obtained using PSO, with local search through SSM. As in today’s power industry, the energy flow between the areas and fossil fuel emissions from the generating units are of major concern. So, the objective of MAPD is to reduce the overall generation cost of the areas along with the reduction of pollutants’ emissions also. The comparison with Single Area Power Dispatch (SAPD) system is done to understand the benefit of resolving the whole region into small areas. Due to the conflicting nature of both the objectives, Price Penalty Factor (PPF) method is used to convert the multiobjective problem into single objective optimization problem while satisfying its various equality and inequality constraints. The effectiveness of the proposed method is tested on a test system consisting four areas, twelve generator system under both MAPD and SAPD cases. These cases are compared with each other and with the available literature to show the robustness of the proposed method.
Economic-Emission Dispatch (EED), Particle Swarm Optimization (PSO), Simplex Search Method (SSM), Price Penalty Factors (PPF)
 J.H. Talaq, F. El-Hawary and M.E. El-Hawary, “A summary of environmental/economic dispatch algorithms”, IEEE Transactions on Power Systems, Vol. 9, No. 3, pp. 1508-1516, 1994.
 J. Kennedy and R. Eberhart, “Particle swarm optimization” Proc. IEEE Conf. on Neural Networks (ICNN’95) IV, Perth Australia, pp. 1942-48, 1995.
 D. Streiffert, “Multi-Area Economic Dispatch with Tie Line Constraints”, IEEE Transactions on Power Systems, Vol. 10, No. 4, pp. 1946-1951, 1995.
 A.J. Wood and B.F., “Wollenberg, Power Generation, Operation, and Control”, 2nd edition, Prentice-Hall Series in Electrical and Computer Engineering, John Wiley & Sons, 1996.
 T. Jayabarathi, G. Sadasivam and V. Ramachandran, “Evolutionary Programming Based Multi-Area Economic Dispatch with Tie-Line Constraints”, Electrical Machines and Power Systems, Vol. 28, pp. 1165-1176, 2000.
 L. Wang and C. Singh, “Reserve-Constrained Multiarea Environmental/Economic Dispatch Using Enhanced Particle Swarm Optimization”, Systems and Information Engineering Design Symposium IEEE, pp. 96-100, 2006.
 P.S. Manoharan, P.S. Kannan, S. Baskar and M.W. Iruthayarajan, “Evolutionary Algorithm Solution And KKT Based Optimality Verification To Multi-Area Economic Dispatch”, International Journal of Electrical Power and Energy Systems, Vol. 31, pp. 365–373, 2009.
 Y.M. Chen and W.S. Wang, “A Particle Swarm Approach To Solve Environmental/Economic Dispatch Problem” International Journal of Industrial Engineering Computations, Vol. 1, pp. 157–172, 2010.
 Y.M. Chen and W.S. Wang, “Application of Particle Swarm Optimization Algorithm to the Distributed Multi-Area Service Demands and Emission Controlled”, International Journal of Industrial Engineering, Vol. 17, No. 4, pp. 279–286, 2010.
 K. Deb, “Optimization for Engineering Design: Algorithms and Examples”, PHI Eleventh Edition, New Delhi, 2010.
 M. Sharma, M. Pandit and L. Srivastava, “Multi-Area Economic Dispatch With Tie-Line Constraints Employing Evolutionary Approach”, International Journal of Engineering, Science and Technology, Vol. 2, No. 3, pp. 132-149, 2010.
 D.P. Kothari and J.S. Dhillon, “Power System Optimization”, PHI Second Edition, New Delhi, 2011.
 M. Basu, “Artificial Bee Colony Optimization For Multi-Area Economic Dispatch”, International Journal of Electrical Power and Energy Systems, Vol. 49, pp. 181–187, 2013.
 B. Hadji, B. Mahdad, K. Sriari and N. Mancer, “Multiobjective PSO-TVAC For Environmental/ Economic Dispatch Problem” Energy Procedia, Vol. 74. pp. 102 – 111, 2015.
 V.K. Jadoun, N. Gupta, K.R. Niazi, A. Swarnkar and R.C. Bansal, “Improved Particle Swarm Optimization for Multi-area Economic Dispatch with Reserve Sharing Scheme”, IFAC-Papers On Line, Vol. 48-30, pp. 161–166, 2015.
 M. Basu, “Group Search Optimization For Combined Heat And Power Economic Dispatch”, International Journal of Electrical Power & Energy Systems, Vol. 78, pp. 138–147, 2016.
 S. Krishnamurthy and R. Tzoneva, “Decomposition-Coordinating Method for Parallel Solution of a Multi Area Combined Economic Emission Dispatch Problem”, International Journal of Electrical and Computer Engineering (IJECE), Vol. 6, No. 5, pp. 2048-2063, 2016.
 M. Singh and J.S. Dhillon, “Multiobjective Thermal Power Dispatch Using Opposition-Based Greedy Heuristic Search”, International Journal of Electrical Power & Energy Systems, Vol. 82, pp. 339–353, 2016.
 N.J. Singh and J.S. Dhillon, D.P. Kothari, “Synergic Predator-Prey Optimization For Economic Thermal Power Dispatch Problem” Applied Soft Computing, Vol. 43, pp. 298–311, 2016.
 J. Li, Q. Pan, P. Duan, H. Sang and K. Gao, “Solving Multi-Area Environmental/economic Dispatch By Pareto-Based Chemical-Reaction Optimization Algorithm”, IEEE/CAA Journal of Automatica Sinica, Vol. 1, pp. 1-11, 2017.