Submit your paper : editorIJETjournal@gmail.com Paper Title : FLOWER POLLINATION ALGORITHM FOR SOLVING COMBINED ECONOMIC AND EMISSION DISPATCH PROBLEM ISSN : 2395-1303 Year of Publication : 2021 10.29126/23951303/IJET-V7I5P14 MLA Style: -M.Venkata Sai Madhuri, J.Krishna Kishore , FLOWER POLLINATION ALGORITHM FOR SOLVING COMBINED ECONOMIC AND EMISSION DISPATCH PROBLEM " " Volume 7 - Issue 5 September - October,2021 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org APA Style: - M.Venkata Sai Madhuri, J.Krishna Kishore " FLOWER POLLINATION ALGORITHM FOR SOLVING COMBINED ECONOMIC AND EMISSION DISPATCH PROBLEM " Volume 7 - Issue 5 September - October,2021 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org Abstract ELD (Economic Load Dispatch) is the process of allocating the required load between the available generation units such that the cost of operation is minimized. The ELD problem is formulated as a nonlinear constrained optimization problem with both equality and inequality constraints. The Multi-objective CEED (Combined Economic Emission Dispatch) problem is considering the environmental impacts that accumulated from emission of gaseous pollutants of fossil-fuel power plants. In this paper, an attempt has been made to optimize each objective individually and also by combining using Flower Pollination Algorithm. The developed algorithm for Optimization of each objective is tested on two systems i.e. on IEEE 9 and IEEE 39 bus system with supporting numerical and graphical results Reference [1]. J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Proc. IEEE Int. Conf. Neural Networks (ICNN’95), vol. IV, Perth, Australia, pp1942-1948, 1995. [2]. M. R. AlRashidi, Student Member, IEEE, and M. E. El-Hawary, Fellow, IEEE “A Survey of Particle Swarm Optimization Applications in Electric Power Systems” IEEE Trans. On Evolutionary Computation 2006 [3]. Jong-Bae Park, Ki-Song Lee, Joong-Rin Shin, Kwang Y. Lee, “A Particle Swarm Optimization for Economic Dispatch with Non-smooth Cost Functions”, IEEE Trans. on Power Syst., Vol. 20, No.1, pp 34- 42, February 2005. [4]. Zwe-Lee Gaing, “Particle Swarm Optimization to Solving the Economic Dispatch Considering the Generator Constraints”, IEEE Tans. on Power Syst., Vol 18, No. 3, pp 1187- 1195, Aug. 2003. [5]. A.Y. Abdelaziz, E.S.Ali, S.mm. Abd Elazim “Implementation of flower pollination algorithm for solving economic load dispatch and combined economic emission dispatch problems” [6]. Allen J. Wood, Bruce F. Wollenberg, “Power Generation, Operation, And Control”, John Wiley &Sona, Inc., New York, 2004 [7]. El-Keib, A.A.; Ma, H.; Hart, J.L,Economic dispatch in view of the CleanAir Act of 1990, IEEE Trans PwrSyst, Vol. 9 (2), May 1994, pp.-972 -978 [8]. J.H.Talaq, F.El-Hawary, and M.E.El-Hawary, “A Summary of Environmental/EconomicDispatch algorithms,” IEEE Trans. Power Syst., vol. 9, pp. 1508–1516, Aug. 1994. [9]. Immanuel Selva Kumar, K. Dhanushkodi, J. Jaya Kumar, C. Kumar Charlie Paul, “Particle Swarm Optimization Solution to Emission and Economic Dispatch Problem”, IEEE TENCON 2003. [10]. lakshmi devi and O. Vamsi Krishna “Combined economic and emission dispatch using evolutionary algorithms- A case study”, ARPN, volume 3 No 6 , December 2008 Keywords -Economic Load Dispatch, Combined Economic Emission Dispatch, Flower Pollination Algorithm |