Wind-thermal power system dispatch using MLSAD model and GSOICLW algorithm

Li, YZ, Jiang, L ORCID: 0000-0001-6531-2791, Wu, QH, Wang, P, Gooi, HB, Li, KC, Liu, YQ, Lu, P, Cao, M and Imura, J (2017) Wind-thermal power system dispatch using MLSAD model and GSOICLW algorithm. KNOWLEDGE-BASED SYSTEMS, 116. pp. 94-101.

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Abstract

The decision support model of mean-lower semi-absolute deviation (MLSAD) and the optimization algorithm of group search optimizer with intraspecific competition and lévy walk (GSOICLW) are presented to solve wind-thermal power system dispatch. MLSAD model takes the profit and downside risk into account simultaneously brought by uncertain wind power. Using a risk tolerance parameter, the model can be converted to a single-optimization problem, which is solved by an improved optimization algorithm, GSOICLW. Afterwards, both the model and the algorithm are tested on a modified IEEE 30-bus power system. Simulation results demonstrate that the MLSAD model can well solve wind-thermal power system dispatch. The study also verifies GSOICLW obtains better convergent dispatching solutions, in comparison with other evolutionary algorithms, such as group search optimizer and particle swarm optimizer.

Item Type:	Article
Uncontrolled Keywords:	Power system dispatch, Wind power, Profit, Downside risk, Optimization algorithm
Depositing User:	Symplectic Admin
Date Deposited:	22 Feb 2017 11:42
Last Modified:	19 Jan 2023 07:19
DOI:	10.1016/j.knosys.2016.10.028
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3005747