3b020372-5d81-4d71-b8df-0b42e9a0cfcf20210323041835529naunmdt@crossref.orgMDT DepositInternational Journal of Economics and Statistics2309-068510.46300/9103http://www.naun.org/cms.action?id=567232220213222021910.46300/9103.2021.9https://www.naun.org/cms.action?id=23308Environmental/Economic Power Dispatch Problem /Renewable Energy Using Firefly AlgorithmMimounYounesFaculty of Technology Djillali Liabes University Sidi Bel Abbes, 22000, AlgeriaRiad LakhdarKherfeneFaculty of Technology Djillali Liabes University Sidi Bel Abbes, 22000, AlgeriaFouadKhodjaFaculty of Technology Djillali Liabes University Sidi Bel Abbes, 22000, AlgeriaExploitation and development of renewable energy such as solar and wind energy is a very important alternative to reduce gas emissions, reduce the bill for power generation. This paper examines the implications of renewable energy deployment in power generation with the classical energy system, managed by an intelligent method, to minimize the cost of production of electric energy and also reduce the emission of gases. Simulation results on the 10 units power system prove the efficiency of this method thus confirming its capacity to solve the environmental/economic power dispatch problem with the renewable energy.323202132320212026https://www.naun.org/main/NAUN/economics/2021/a082015-004(2021).pdf10.46300/9103.2021.9.4https://www.naun.org/main/NAUN/economics/2021/a082015-004(2021).pdf10.1016/j.rser.2004.03.004Muneer T, Asif M, Munawwar S. Sustainable production of solar electricity with particular reference to the Indian economy. Renewable and Sustainable Energy Reviews 2005;9:444-73 10.1016/j.rser.2010.03.007R. Saidur, M.R. Islam, N.A. Rahim, K.H. Solangi, A review on global wind energy policy, Renewable and Sustainable Energy Reviews 2010;14: 1744–1762 10.1109/powereng.2007.4380118Faisal A. Mohamed, Heikki N. Koivo., (2007), Online Management of Micro Grid with Battery Storage Using Multiobjective Optimization, POWERENG 2007, April 12-14, Nadine May. Eco-balance of a Solar Electricity Transmission from North Africa to Europe. Diploma Thesis, Faculty for Physics and Geological Sciences, Technical University of Braunschweig; 2005 10.1109/59.65896O. Alsac, J. Bright, M. Prais, and B. Stott, “Further developments in LPbased optimal power flow,” IEEE Transactions on Power Systems, Vol. 5, 1990, pp. 697-711. 10.1049/ip-c.1989.0022J. Nanda, D. P. Kothari, and S. C. Srivatava, “New optimal powerdispatch algorithm using Fletcher’s quadratic programming method,” in Proceedings of the IEE, Vol. 136, 1989, pp. 153-161. 10.1109/pes.2009.5275967R. D. Zimmerman, C. E. Murillo-S_anchez, and R. J. Thomas, \Matpower's extensible optimal power ow architecture," Power and Energy Society General Meeting, 2009 IEEE, July 26-30 2009, pp. 1-7. 10.1109/tpas.1974.293981H. W. Dommel, “Optimal power dispatch,” IEEE Transactions on Power Apparatus and Systems, Vol. PAS93, 1974, pp. 820-830. 10.1016/j.ijepes.2007.06.009Basu M. Dynamic economic emission dispatch using nondominated sorting genetic algorithm– II. Electr Power Energy Syst 2008;30(2):140– 9. 10.1016/j.ijepes.2013.01.009Jiang X, Zhou J, Wang H, Zhang Y. Dynamic environmental economic dispatch using multi-objective differential evolution algorithm with expanded double selection and adaptive random restart. Int J Electr Power Energy Syst 2013;49:399–407. 10.1016/j.epsr.2013.01.010Zhang R, Zhou J, Mo L, Ouyang S, Liao X. Economic environmental dispatch using an enhanced multi-objective cultural algorithm. Electr Power Syst Res 2013;99:18–29 10.1016/j.asoc.2010.11.014Basu M. Economic environmental dispatch using multi-objective differential evolution. Appl Soft Comput 2011;11(2):2845–53. 10.1016/j.ijepes.2013.06.015Provas Kumar Roy, Sudipta Bhui, ”Multi-objective quasi-oppositional teaching learning based optimization for economic emission load dispatch problem”, Electrical Power and Energy Systems 53 (2013) 937–948. 10.1039/b719181bFraga .H. (2008)., Firefly luminescence: A historical perspective and recent developments, Journal of Photochemical & Photobiological Sciences, vol. 7, pp. 146 –158. 10.1007/978-3-642-04944-6_14Yang .X.S., (2009). Firefly algorithms for multimodal optimization, Stochastic Algorithms: Foundations and Applications Lecture Notes in Computer Sciences, vol. 5792, pp. 169–178. 10.1504/ijbic.2010.032124Yang .X. S., “Firefly algorithm, stochastic test functions and design optimisation, International Journal of Bio-Inspired Computation, vol. 2 n. 2, pp. 78 –84, 2010.(13) S. X. Yang, “Firefly Algorithm”, Engineering Optimization. Hoboken, New Jersey: Wiley, 2010, pp. 221-230. Xin-She Yang, “Firefly Algorithm”, Engineering Optimization:An Introduction with Metaheuristic Applications, pp 221-230, Wiley,2010.