Title: Multi area power dispatch strategy considering economic and environmental aspects using NDSGA II

Authors: Abhik Hazra; Saborni Das; Mousumi Basu; Ashish Laddha

Addresses: Power Engineering Department, Jadavpur University, LB-8, Sector III, Salt Lake, Kolkata, 700098, India ' Power Engineering Department, Jadavpur University, LB-8, Sector III, Salt Lake, Kolkata, 700098, India ' Power Engineering Department, Jadavpur University, LB-8, Sector III, Salt Lake, Kolkata, 700098, India ' Department of Electrical Engineering, Malaviya National Institute of Technology, JLN Marg, Jaipur, 302017, India

Abstract: Multi area economic environmental dispatch strategies (MAEEDS), corresponding to centralised fossil fuel fired power plants, remain significant for allocating power among committed units of various regions in an optimalised manner. The allocation must ensure simultaneous reduction in total fuel cost and emission level in the best possible ways. At the same time, equality alongside inequality constraints likes production-demand balance, power production capacity and tie line capacity have to be taken into consideration. The aforementioned optimalisation task involves multiple objective optimisation with contradictory behaving goals. The presented article suggests non-dominated sorting genetic algorithm II (NDSGA II) to achieve solutions for the MAEEDS task. A comparison has also been made among the solutions attained through the suggested technique, strength Pareto evolutionary algorithm II (STPEA II) and other well-known optimisation techniques available in the literature. The comparative analysis shows superiority of the suggested NDSGA II for the considered four area MAEEDS task.

Keywords: multi area economic environmental dispatch strategies; multiple objective optimisation; non-dominated sorting genetic algorithm II; strength Pareto evolutionary algorithm II.

DOI: 10.1504/IJHI.2019.106731

International Journal of Hybrid Intelligence, 2019 Vol.1 No.4, pp.308 - 325

Received: 01 May 2018
Accepted: 18 Jan 2019
Published online: 20 Apr 2020 *

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