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Authors:
Muhammad Al-Hajri
Mohamed Darwish
Mohammed Abido
Keywords: differential evolution algorithm; power loss optimization; voltage stability index; hydrocarbon facility; millions of standard cubical feet of gas (MMscf).
Abstract:
In this paper, a differential evolution algorithm (DEA) is considered for formulating nonlinear constrained multiobjective problem where electrical system real power loss and voltage stability index are optimized concurrently for a real hydrocarbon industrial plant. The subject plant electrical system consists of 275 buses, two gas turbine generators, two steam turbine generators, large synchronous motors, and other rotational and static loads. Truncation mechanism is used to manage the pareto-optimal solution set size. The best compromise solution is extracted using fuzzy set theory. The DEA performance for different population sizes and generation number cases will be demonstrated. The results exhibited the capabilities of the proposed approach in producing optimized pareto-optimal solutions for the subject multiobjective problem. The byproduct annual cost avoidance potential due to real power loss optimization for the studied cases will be demonstrated.
Pages: 1 to 7
Copyright: Copyright (c) IARIA, 2016
Publication date: March 20, 2016
Published in: conference
ISSN: 2308-3735
ISBN: 978-1-61208-461-9
Location: Rome, Italy
Dates: from March 20, 2016 to March 24, 2016