Title: Fuzzified multi-objective particle swarm optimisation for the solution of economic and emission dispatch problem

Authors: S. Surender Reddy; B.K. Panigrahi

Addresses: Department of Railroad and Electrical Engineering, Woosong University, 17-2, Jayang-dong, Dong-gu, Daejeon, 300718, South Korea ' Department of Electrical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India

Abstract: Conventional economic dispatch (ED) problem deals with minimising the generation cost while satisfying a set of equality and inequality constraints. The conventional fossil fuel power plants pollutes environment by emitting some toxic gases. Hence, conventional minimum cost operation cannot be the only basis for generation dispatch, however emission minimisation can also be considered. The objective of reactive power optimisation problem can be seen as the minimisation of real power loss over the transmission lines. Large integrated power systems are being operated under heavily stressed conditions, which imposes the threat to voltage stability. The objectives economic dispatch, emission dispatch, loss minimisation and voltage stability are to be met for efficient operation and control. The simulation results of all 4 objectives, considering one objective at a time are conflicting and non-commensurable. Therefore, an efficient control scheme which meets all the specified objectives is required. Initially each objective is optimised independently using particle swarm optimisation (PSO) and then all the four objectives are optimised simultaneously using fuzzified PSO. The effectiveness of the proposed approach is tested on IEEE 30 and IEEE 57 bus test systems.

Keywords: economic dispatch; emission dispatch; reactive power optimisation; voltage stability; particle swarm optimisation; fuzzy PSO; fuzzy min-max approach; metaheuristics; swarm intelligence; fuzzy logic; loss minimisation; simulation; power plant emissions; power generation costs.

DOI: 10.1504/IJPEC.2017.084916

International Journal of Power and Energy Conversion, 2017 Vol.8 No.3, pp.276 - 294

Received: 09 Oct 2015
Accepted: 25 Mar 2016

Published online: 09 Jul 2017 *

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