Differential evolution with random scale factor for economic dispatch considering prohibited operating zones

• Autorzy: Jasper J. , Aruldoss A. V. T.

Warianty tytułu

PL

Zastosowanie ewolucji różnicowej o zmiennym współczynniku skali w rozwiązywaniu problemu zapotrzebowania elektrycznego z uwzględnieniem stref zabronionych

• Języki publikacji: EN

Abstrakty

EN

This paper addresses a novel technique to solve non-convex economic load dispatch (NCELD) problem. Generator constraints,such as valve point loading, ramp rate limits and prohibited operating zones are taken into account in the problem formulation of NCELD.Few Variants of Differential Evolution (DE) and Differential Evolution with Random Scale Factor (DE-RSF)is applied for solving the above problem. The technique is tested with IEEE standard test systems.It is shown that, the presented technique for solving NCELD problem generates quality solutions reliably. Keywords: Differential Evolution, economic dispatch, prohibited operating zones, ramp-rate limits, valve-point effect.

PL

W artykule opisano nową technikę optymalizacji rozmieszczenia jednostek wytwarzania energii elektrycznej na podstawie analizy ekonomicznej i analizy obciążenia. Zastosowano różne warianty algorytmu ewolucji różnicowej oraz ewolucji różnicowej o zmiennym współczynniku skali. Przeprowadzono badania weryfikujące skuteczność działania proponowanej techniki.

Słowa kluczowe

EN

differential evolution; economic dispatch; prohibited operating zone

PL

ewolucja różnicowa; zapotrzebowanie energetyczne; strefa zabroniona

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2013
• Tom: R. 89, nr 5
• Strony: 187--191
• Opis fizyczny: Bibliogr. 15 poz., tab., wykr.

Twórcy

autor

Jasper J.

• Anna University, Regional Centre, Coimbatore

autor

Aruldoss A. V. T.

• Anna University, Regional Centre, Coimbatore

Bibliografia

• [1] M. A. Abido, “A novel multiobjective evolutionary algorithm for environmental/ economical power dispatch,” Elect. Power Syst. Res., 65(2003) 71–81.
• [2] A. J. Wood and B. F. Wollenberg, Power Generation, Operation and Control. New York: Wiley, (1994).
• [3] C. E. Lin and G. L. Viviani, “Hierarchical economic dispatch for piecewise quadratic cost functions,” IEEE Trans. Power App. Syst., (1984), No. 6, 1170–1175.
• [4] H. T. Yang and S. L. Chen, “Incorporating a multi-criteria decision procedure into the combined dynamic programming/production simulation algorithm for generation expansion planning,” IEEE Trans. Power Syst.,4(1989) No. 1, 165–175.
• [5] S. Granville, “Optimal reactive dispatch through interior point methods,” in Proc. IEEE Summer Meeting, Seattle, WA, (1992), Paper no. 92 SM 416 PWRS.
• [6] Sanjay Jain “Modifed Gauss Elimination Technique for Separable Nonlinear Programming Problem,” IEEE Trans. Power Syst., 7(1992) No. 3, 544–550.
• [7] C. L. Chen and C. L.Wang, “Branch-and-bound scheduling for thermal generating units,” International Journal of Industrial Mathematics., 4(2012) No.3, 163-170.
• [8] T. A. A. Victoire and A. E. Jeyakumar, “Hybrid PSO-SQP for economic dispatch with valve-point effect,” Elect. Power Syst. Res., 71(2004) No. 1, 51–59.
• [9] Aixin Chen, Tiehua Jiang, Zhizhang Chen, and Yanjun Zhang, “A Genetic and Simulated Annealing Combined Algorithm for Optimization of Wideband Antenna Matching Networks”," International Journal of Antennas and Propagation, 2012(2012), No. 5,1-6.
• [10] C.C.Asir Rajan, " An Evolutionary Programming Based Tabu Search Method for Unit Commitment Problem with Cooling- Banking Constraints," Journal of Electrical Engineering,62(2011), No. 1,11-18.
• [11] Rahul Roy,Satchidananda Dehuri,Sung Bae,“ A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem,” International Journal of Applied Metaheuristic Computing 2(2011) No.4,41-57.
• [12] R. Storn, K. Price, "Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces,"[Online]. Journal of Global Optimization,Dordrecht, 11(1997) 341-359.
• [13] S.Das,A.Abraham;U.K.Chakraborthy;A.Konar ”Differential Evolution using a Neighborhood-Based Mutation Operator”, IEEE Trans. on Evol.Comput 13(2009), No. 3,526-553.
• [14] S.K. Wang, J.P.Chiou, C.W.Liu, "Non-smooth/non-convex economic dispatch by a novel hybrid differential evolution algorithm," IEE Proceedings Gener, Trans and Distr, 1(2007) No. 5, 793-803.
• [15] S.Das et al.” Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives” (2008). http://www.softcomputing.net