Lagrangian relaxation hybrid with evolutionary algorithm for short-term generation scheduling

Logenthiran, Thillainathan, Woo, Wai Lok and Phan, Van Tung (2015) Lagrangian relaxation hybrid with evolutionary algorithm for short-term generation scheduling. International Journal of Electrical Power & Energy Systems, 64. pp. 356-364. ISSN 0142-0615

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Abstract

Short-term generation scheduling is an important function in daily operational planning of power systems. It is defined as optimal scheduling of power generators over a scheduling period while respecting various generator constraints and system constraints. Objective of the problem includes costs associated with energy production, start-up cost and shut-down cost along with profits. The resulting problem is a large scale nonlinear mixed-integer optimization problem for which there is no exact solution technique available. The solution to the problem can be obtained only by complete enumeration, often at the cost of a prohibitively computation time requirement for realistic power systems. This paper presents a hybrid algorithm which combines Lagrangian Relaxation (LR) together with Evolutionary Algorithm (EA) to solve the problem in cooperative and competitive energy environments. Simulation studies were carried out on different systems containing various numbers of units. The outcomes from different algorithms are compared with that from the proposed hybrid algorithm and the advantages of the proposed algorithm are briefly discussed.

Item Type:	Article
Uncontrolled Keywords:	Short-term generation scheduling, Profit-based unit commitment, Cost-based unit commitment, Lagrangian relaxation, Evolutionary algorithm, Economic dispatch
Subjects:	H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	11 Apr 2019 08:53
Last Modified:	10 Oct 2019 20:15
URI:	http://nrl.northumbria.ac.uk/id/eprint/38925

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