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Economic Dispatch Using Hybrid Particle Swarm Optimization with Prohibited Operating Zones and Ramp Rate Limit Constraints
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 Title & Authors
Economic Dispatch Using Hybrid Particle Swarm Optimization with Prohibited Operating Zones and Ramp Rate Limit Constraints
Prabakaran, S.; Senthilkuma, V.; Baskar, G.;
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This paper proposes a new Hybrid Particle Swarm Optimization (HPSO) method that integrates the Evolutionary Programming (EP) and Particle Swarm Optimization (PSO) techniques. The proposed method is applied to solve Economic Dispatch(ED) problems considering prohibited operating zones, ramp rate limits, capacity limits and power balance constraints. In the proposed HPSO method, the best features of both EP and PSO are exploited, and it is capable of finding the most optimal solution for the non-linear optimization problems. For validating the proposed method, it has been tested on the standard three, six, fifteen and twenty unit test systems. The numerical results show that the proposed HPSO method is well suitable for solving non-linear economic dispatch problems, and it outperforms the EP, PSO and other modern metaheuristic optimization methods reported in the recent literatures.
Economic dispatch;Evolutionary programming;Particle swarm optimization;Hybrid particle swarm optimization;Prohibited operating zones;Ramp rate limits;
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B.H. Chowdhury and S. Rahman, “A review of recent advances in economic dispatch”, IEEE Trans. Power Systems Vol. 5, No. 4, pp. 1248-1259, Nov 1990.

A. J. Wood and B.F. Wollenberg, “Power generation operation and control”, 2nd edition, New York Wiley, pp. 29-32, 1996.

JagabondhuHazra and AvinashSinha, “Application of Soft Computing methods for Economic Dispatch in Power Systems”, International Journal of Electrical and Electronics Engineering, Vol. 3, No. 9, pp. 538-543, 2009.

Liang Z.X. and Glover J.D., “A Zoom feature for a Dynamic Programming solution to economic dispatch including transmission losses’” IEEE Transactions on Power Systems Vol. 7 No. 2, pp. 544-549, 1992. crossref(new window)

A. J. Selvakumar and K. Thanushkodi, “A new particle swarm optimization solution to non-convex economic dispatch problems”, IEEE Trans. Power Systems Vol. 22, No.1, pp. 42-51, Feb 2007.

Wong K.P and Fung C.C, “Simulated annealing based economic dispatch algorithm, “IEE proceedings Generation, Transmission and Distribution Vol. 140, No. 6, pp. 509-515, 1993. crossref(new window)

I. N Desilva, L. Nepomuceno and T. M. Basdo “Designing a modified Hopfield Network to solve an ED problem with non-linear cost function”, proceeding Int. conf on Neural networks, Vol. 2, pp. 1160-1165, May 2002.

G. Baskar, N. Kumarappan and M. R. Mohan, “Optimal Dispatch using Improved Lambda based Genetic algorithm suitable for utility system”, Int. journal on Electric Power components and systems, Vol. 31, pp. 627-638, June 2003. crossref(new window)

H.T. Yang, P.C. Yang and C.L. Huang, “Evolutionary programming based economic dispatch for units with non-smooth fuel cost functions”, IEEE Trans. on Power Systems Vol. 11, pp. 112-118, Feb 1996. crossref(new window)

K. P. Wong and J. Yuryevich, “Evolutionary program based algorithm for environmentally- constrained economic Dispatch ”, IEEE Trans. Power System Vol.13, pp. 301-306, May 1998. crossref(new window)

X. Yao, Y. Liu and G. Lin, “Evolutionary Programming made faster”, IEEE Trans. Evol. Comput Vol. 3, pp. 82-102, July 1999. crossref(new window)

Jayabharathi. T, Sadasivam G, and Rama chandran V, “Evolutionary Programming based economic dispatch of generators with prohibited operating zones” Electric Power System Research, Vol. 52, pp, 261-266, 1999. crossref(new window)

Jayabharathi T., Jayaprakash. K, Jeyakumar D. N. and Raghunathan. T, “Evolutionary Programming Techniques for different kinds of Economic dispatch problems,” Electric Power Systems Research Vol. 73, pp. 169-176, 2005. crossref(new window)

Lin W. M, Cheng F.S and Tsay M. T, “An improved Tabu search for economic dispatch with multiple minima,” IEEE Trans. on Power Systems Vol. 17, No. 1, pp. 108-112, 2002. crossref(new window)

Zwe-Lee Gaing “Particle Swarm Optimization to solving the Economic Dispatch considering the generator constraints”, IEEE Trans. on Power Systems Vol. 18, No. 3, pp. 1187-1195, Aug 2003.

J. B. Park, K. Lee, J. Shin and K. Y. Lee “A particle swarm optimization for economic dispatch with non-smooth cost functions”, IEEE Trans. on Power Systems Vol. 20, No. 1, pp. 34-42, Feb,2005. crossref(new window)

D. N. Jeyakumar, T. Jayabarathi and T. Raghunathan “A Particle Swarm Optimization for various types of economic dispatch problems,” International journal on Electric Power and Energy System Vol. 28, No. 1, pp. 36-42, Jan 2006. crossref(new window)

M.R. Alrashidi and M. E. EI- Hawary, “A Survey of Particle Swarm Optimization applications in power system operations,” Electric Power components and systems Vol. 34, No. 12, pp. 1349-1357, Dec 2006. crossref(new window)

Chun-Lung Chen, Rong-Mow Jan, Tsung-Ying Lee and Cheng-Hsiung Chen, “A novel particle swarm optimization Algorithm solution of Economic Dispatch with Valve Point Loading”, Journal of Marine Science and Technology, Vol. 19, No. 1, pp. 43-51, 2011.

Zong woo Geem “Economic Dispatch Using Parameter-Setting_Free Harmony Search” journal of Applied Mathematics, Vol. 2013, pp. 1-5, 2013.

Subbaraj P, Rengaraj R and Salivahanan S., “Enhancement of Combined heat and power economic dispatch using Self adaptive real coded genetic algorithm”. Applied Energy, Vol. 86, pp. 915-921, 2009. crossref(new window)

Mohammadi-Ivatloo B, Rabiee A, Soroudi A and Ehsan M “Iteration PSO with time varying acceleration coefficient for solving non- convex economic dispatch problems” Electrical Power and Energy Systems, Vol. 42, pp. 508-516, 2012. crossref(new window)

Y.H. Shi and R.C. Eberhart, “Fuzzy Adaptive particle swarm optimization”, in Proc. of the IEEE Congress on Evolutionary Computation, Vol. 1, Seoul Korea, pp. 101-106, 2001.

Y.H. Shi and R.C. Eberhart, “A modified particle swarm optimizer”, in Proc. of the IEEE Congress on Evolutionary Computation, IEEE Service Center,USA pp. 69-73, 1998.

Y.L. Zhang, L.H. Ma, L.Y. Zhang and J.X. Qian, “On the Convergence Analysis and Parameter Selection in Particle Swarm Optimization”, in Proc. Int. Conf. on Machine learning and Cybernetics. Zhejiang University, Hangzhou, China, pp. 1802-1807, 2003.

R.C. Eberhart and Y.H. Shi, “Tracking and optimizing dynamic systems with particle swarms”, in Proc. of the IEEE Congress on Evolutionary Computation, San Francisco, Cailf, USA, pp. 94-100, 2001.

L. P. Zhang, H. J. Yu, D. Z. Chen and S. X. Hu, “Analysis and improvement of particle swarm optimization algorithm”, Information and Control, Vol. 33, pp. 513-517, 2004.

Kuo, C. C. “A novel coding scheme for practical economic dispatch”, IEEE Trans on Power System. Vol. 23, No. 4, pp. 1825-1835, Nov. 2008. crossref(new window)

S.K. Wang, J.P. Chiou, and C.W. Liu, “Non-smooth / non-convex economic dispatch by a novel hybrid differential evolution algorithm”, IET Gen., Transm., Distribution, Vol. 1, No. 5, pp. 793-803, 2007. crossref(new window)

Chiou, J. P, “Variable scaling hybrid differential evolution for large scale economic dispatch problems”. Elect. Power System Research, Vol. 77, No. 1, pp. 212-218, 2007. crossref(new window)

Chiang, C-L. “Genetic -based algorithm for power economic load dispatch”, IET Gen., Transm., Distribution, Vol. 1, No. 2, pp. 261-269, 2007. crossref(new window)

Mariani V.C., and L.D.S. Coelho, “Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects”, Energy Converse. Management. Vol. 49, No. 11, pp. 3080-3085, 2008. crossref(new window)

K.T. Chaturvedi, M. Pandit and L. Srivastava, “Self-Organizing hierarchical particle swarm Optimization for nonconvex economic dispatch”, IEEE Trans on Power System Vol. 23, No. 3, pp. 1079-1087, Aug 2008.

Pandi B.K and Panigrahi V.R, “Bacterial foraging optimization; Nelder-Mead hybrid algorithm for economic load dispatch”, IET Gen., Transm., Distribution, Vol. 2, No. 4, pp. 556-565, 2008. crossref(new window)

Nidul Sinha, R. Chakrabarti and P. K. Chattopadhyay “Evolutionary Programming Techniques for Economic Load Dispatch”, IEEE Trans. on Evolutionary Computation, Vol. 7, No. 1, pp. 83-94, Feb 2003. crossref(new window)

Chen P-H and Chang H-C, “Large scale economic dispatch by genetic algorithm”, IEEE Trans.on Power Systems Vol. 10, No. 4, pp. 1919-1926, 1995. crossref(new window)

Naresh. R, Dubey J and Sharma J, “Two-phase neural network based modeling frame work of constrained economic load dispatch”, IEE proce. Generation, Transmission, Distribution, Vol. 151, No. 3, pp. 373-378, 2004. crossref(new window)

Khamsawang, and S. Jiriwibhakorn, “DSPSO-TSA for economic dispatch problem with non smooth and non continuous cost functions”, Energy Conversation Management Vol. 51, pp. 365-375, 2010. crossref(new window)

Bhattacharya A, Chattopadhyay P. K, “Bio geography Based Optimization for different economic load dispatch problems”, IEEE Trans. on power Systems Vol. 25, No. 2, pp. 1064-1077, 2010. crossref(new window)

Pandi V. R, Panigrahi B. K, Bansal R. C, Das S, Mohapatra A, “Economic Load Dispatch using Hybrid Swarm Intelligence Based Harmony search Algorithm”, Electric power components and systems, Vol. 39, No. 8, pp. 751-767, 2011. crossref(new window)

Mir.Mahmood Hosseini, Hamidreza ghorbani, A. Rabii, Sh. Anvari “A novel Heuristic Algorithm for solving Non-convex Economic Load Dispatch problem with Non-smooth cost function”, Journal of Basic and Applied Scientific Research, Vol. 2, No. 2 pp. 1130-1135, 2012.

Hari Mohan Dubey, Manjaree Pandit, B. K. Panigrahi Mugdha Udgir, “Economic Load Dispatch by Hybrid Swarm Intelligence Based Gravitational Search Algorithm”, I. J Intelligent Systems and Applications, Vol. 08, pp. 21-32, 2013.

P. Subbaraj, R. Rengaraj S. Salivahanan and T.R. Senthilkumar, “Parallel Particle Swarm Optimization with modified stochastic acceleration factors for solving large scale economic dispatch problem”, International journal of Electrical Power and Energy Systems Vol. 32, pp. 1014-1023, 2010. crossref(new window)

I.Ciornei and E. Kyriakides, “A GA-API solution for the Economic Dispatch of Generation in Power System Operation”, IEEE Transaction on Power System, Vol. 27, pp. 233-242, 2012. crossref(new window)

Mohd Noor ABDULLAH, Nasrudin Abd RAHIM, Abd Halim Abu BAKAR, Hazlie MOKHLIS, Hazlee Azhil ILLIAS, Jasrul Jamani JAMIAN, “Efficient Evolutionary Particle Swarm Optimization Approach for Non convex Economic Load Dispatch Problem”, PRZEGLAD ELEKTROTECHNICZNY, R 89 NR 2a pp. 139-143, 2013.

Ching-Tzong Su and Chen -Tung Lin, “New Approach with a Hopfield Modelling Frame work to Economic Dispatch” IEEE trans on power system, Vol. 15, No. 2, pp. 541-545, 2000. crossref(new window)

Bhattacharya A and Chattopadhyay, “Biogeography-Based Optimization for different economic load dispatch problems” IEEE Trans on power systems, Vol. 25, No. 2, pp. 1064-1077, 2010. crossref(new window)

Vanitha M and Thanuskodi K, “An Effective Biogeography Based Optimization Algorithm to solve Economic Load Dispatch Problems”, Journal of computer sciences, Vol. 8, No. 2, pp. 1482-1486, 2012.