Economic Environmental Dispatch of Wind Integrated Thermal Power System
Suman Kumar Dey1, Deba Prasad Dash2, Mousumi Basu3
1Suman Kumar Dey, Ph.D. in Electrical Engineering under the Department of Power Engineering, Jadavpur University, Kolkata.
2Deba Prasad Dash, Associate Professor, Department of Electrical Engineering, Government College of Engineering, Kalahandi.
3Mousumi Basu, Professor at Power Engineering Department of Jadavpur Universty.
Manuscript received on February 27, 2020. | Revised Manuscript received on March 14, 2020. | Manuscript published on March 30, 2020. | PP: 5186-5192 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9528038620/2020©BEIESP | DOI: 10.35940/ijrte.F9528.038620
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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: In electric power plant operation, Economic Environmental Dispatch (EED) of a thermal-wind is a significant chore to involve allocation of production amongst the running units so the price, NOx extraction status and SO2 extraction status are enhanced concurrently whilst gratifying each and every experimental constraint. This is an exceedingly controlled multiobjective optimizing issue concerning contradictory objectives having Primary and Secondary constraints. For the given work, a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is recommended for taking care of EED issue. In simulation results that are obtained by applying the two test systems on the proposed scheme have been evaluated against Strength Pareto Evolutionary Algorithm 2 (SPEA 2).
Keywords: Economic Environmental Dispatch, Wind Power Uncertainty, Fuel Charge, Nox Discharge Intensity, SO2 Discharge Intensity, NSGA-II.
Scope of the Article: Computational Economics, Digital Photogrammetric.