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Title: Dynamic economic emission dispatch problem with renewable integration focusing on deficit scenario in India

Authors: Hithu Anand; Rengaraj Ramasubbu

Addresses: Department of Electrical and Electronics Engineering, Agni College of Technology, Chennai – 600130, India ' Department of Electrical and Electronics Engineering, SSN College of Engineering, Chennai – 603110, India

Abstract: Present scenario power grid has increased penetration of renewable energy sources (RESs). RESs are clean sources of energy and power production from them with minimal emission is a national target. Already, increased carbon footprint has put nations into jeopardy. Nowadays to study the benefits due to RESs in power system is of greater importance. Stochastic nature of RESs made it difficult to manage power dispatch scenario. Dynamic power demand added even more difficulty in obtaining real time economic schedule of generation dispatch. A test system of ten generator and emission dispatch with wind turbine (WT) and photovoltaic (PV) having dynamic load for 24 hours is economised. Stochastic method of particle swarm optimisation (PSO) is compared with anti-predatory particle swarm optimisation (APSO). It is identified that APSO method gives a better economy with reduced emission for the given problem.

Keywords: renewable energy; dynamic economic emission dispatch; wind power; solar power; anti-predatory particle swarm optimisation.

DOI: 10.1504/IJBIC.2020.105849

International Journal of Bio-Inspired Computation, 2020 Vol.15 No.1, pp.63 - 73

Received: 13 Aug 2018
Accepted: 08 Dec 2018

Published online: 10 Mar 2020 *

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