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research-article

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

Published: 01 January 2020 Publication History

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.

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            Published In

            cover image International Journal of Bio-Inspired Computation
            International Journal of Bio-Inspired Computation  Volume 15, Issue 1
            2020
            73 pages
            ISSN:1758-0366
            EISSN:1758-0374
            DOI:10.1504/ijbic.2020.15.issue-1
            Issue’s Table of Contents

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            Inderscience Publishers

            Geneva 15, Switzerland

            Publication History

            Published: 01 January 2020

            Author Tags

            1. renewable energy
            2. dynamic economic emission dispatch
            3. wind power
            4. solar power
            5. anti-predatory particle swarm optimisation

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