Dynamic economic emission dispatch problem with renewable integration focusing on deficit scenario in India Online publication date: Mon, 16-Mar-2020
by Hithu Anand; Rengaraj Ramasubbu
International Journal of Bio-Inspired Computation (IJBIC), Vol. 15, No. 1, 2020
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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