Multiobjective generation scheduling using multicore processing-based continuous genetic algorithm

Multiobjective generation scheduling using multicore processing-based continuous genetic algorithm

Algorithms used for day ahead generation scheduling are crucial for a power system operator to balance conflicting objectives and the network constraints. Practically feasible algorithms using parallel computing, low-cost hardware and open-source software in power system parlance are rarely attempte...

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Bibliographic Details
Main Authors: Kiran Babu Vakkapatla, Srinivasa Varma Pinni
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Cogent Engineering
Subjects:
generation scheduling
multiobjective optimization
genetic algorithm
power system reliability
parallel computing
Online Access:http://dx.doi.org/10.1080/23311916.2020.1767019

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