Please use this identifier to cite or link to this item: https://doi.org/10.1109/IPECON.2010.5697025
Title: Modified NSGA-II for day-ahead multi-objective thermal generation scheduling
Authors: Trivedi, A. 
Pindoriya, N.M. 
Srinivasan, D. 
Keywords: Lambda-iteration method
Multi-objective generation scheduling
Non-dominated sorting Genetic Algorithm - II (NSGA-II)
Issue Date: 2010
Source: Trivedi, A.,Pindoriya, N.M.,Srinivasan, D. (2010). Modified NSGA-II for day-ahead multi-objective thermal generation scheduling. 2010 9th International Power and Energy Conference, IPEC 2010 : 752-757. ScholarBank@NUS Repository. https://doi.org/10.1109/IPECON.2010.5697025
Abstract: In this paper, a novel approach is proposed to solve the day-ahead multi-objective thermal generation scheduling problem. The proposed method combines the principles of Non-dominated Sorting Genetic Algorithm-II (NSGA-II) with problem specific crossover and mutation operators. Heuristics are used in the initial population by seeding the random population with a Priority list based solution for better convergence. The penalty-parameter-less constrained binary tournament method is used as the selection operator to efficiently handle the constraints. Constrain-domination relation is used as the non-dominated classification procedure to classify the population into non-dominated fronts in presence of constraints. Lambda-iteration method is probabilistically used for assigning the economic/environmental real power dispatch to solve the problem. The proposed method is effectively applied to a large scale 60 generating unit power system for short-term generation scheduling problem. It is found that the presented approach gives good convergence to obtain the Pareto-optimal solutions. ©2010 IEEE.
Source Title: 2010 9th International Power and Energy Conference, IPEC 2010
URI: http://scholarbank.nus.edu.sg/handle/10635/71009
ISBN: 9781424473991
DOI: 10.1109/IPECON.2010.5697025
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