Emission Constrained Economic Dispatch with PV Energy Penetration
M.Manoj Kumar1, A.Alli Rani2,V.Sundaravazhuthi3

1M.Manoj Kumar*, Assistant Professor, SASTRA Deemed to be University.
2Dr.A.Alli Rani, Professor, SASTRA Deemed to be University.
3V.Sundaravazhuthi, Asst. Prof. SASTRA Deemed to be University

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3021-3026 | Volume-8 Issue-12, October 2019. | Retrieval Number: K23460981119/2019©BEIESP | DOI: 10.35940/ijitee.K2346.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Power system planners are forced to consider the alarming rate of environmental pollution and rapiddepletion of fossil fuels andutilize renewable energy resources to mitigate the environmental effects of thermal power stations. Combined Economic Emission Dispatch(CEED)offers an effectivesolution to reducefossil fuel emissions as well ascost.Since 1985, CEED is considered to be a common optimization strategy. Literature contains lot of optimization methods for the strategy.In the recent times, using PV energy has proved to be a feasible and dependable alternative for electricity generation systems based on fossil fuels. In the developing countries, the dependency on fossil fuels has been seen as inevitable. At present,the use of renewable energy sources is rapidly increasing in inconventional power generation systems. The present paper puts forwardan approach of combining PVenergy-based grid integrated PV system with fossil fuel based thermal power plant using evolutionary programmingbased optimization technique.Among the various optimization techniques, the Particle Swarm Optimization (PSO) is considered to be the most suitable technique for the problem is explained in detailed manner.The proposed method is to combine CEED with the PV energy and thereby reduces the use of conventional energy resources.It also permits an effective utilizationof abundantlyavailable PV energy.It is tested on standard IEEE 30 bus system with the real time ratings of proposed PV plant situated in Tamilnadu.
Keywords: Fossil Fuel Depletion, Fuel Economy, PV Insolation, Economic Dispatch, Emission Dispatch, Grid Integrated PV Photovoltaic Systems, Particle Swarm Optimization.
Scope of the Article: Bio-Science and Bio-Technology