A Novel Binary Competitive Swarm Optimizer for Power System Unit Commitment
1
Zhengzhou University, Zhengzhou 450001, China
2
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
3
Northeastern University, Shenyang 110004, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(9), 1776; https://doi.org/10.3390/app9091776
Received: 20 March 2019
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Revised: 4 April 2019
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Accepted: 7 April 2019
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Published: 29 April 2019
(This article belongs to the Special Issue Intelligent Energy Management of Electrical Power Systems)
The unit commitment (UC) problem is a critical task in power system operation process. The units realize reasonable start-up and shut-down scheduling and would bring considerable economic savings to the grid operators. However, unit commitment is a high-dimensional mixed-integer optimisation problem, which has long been intractable for current solvers. Competitive swarm optimizer is a recent proposed meta-heuristic algorithm specialized in solving the high-dimensional problem. In this paper, a novel binary competitive swarm optimizer (BCSO) is proposed for solving the UC problem associated with lambda iteration method. To verify the effectiveness of the proposed algorithm, comprehensive numerical studies on different sizes units ranging from 10 to 100 are proposed, and the algorithm is compared with other counterparts. Results clearly show that BCSO outperforms all the other counterparts and is therefore completely capable of solving the UC problem.
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MDPI and ACS Style
Wang, Y.; Yang, Z.; Guo, Y.; Zhou, B.; Zhu, X. A Novel Binary Competitive Swarm Optimizer for Power System Unit Commitment. Appl. Sci. 2019, 9, 1776. https://doi.org/10.3390/app9091776
AMA Style
Wang Y, Yang Z, Guo Y, Zhou B, Zhu X. A Novel Binary Competitive Swarm Optimizer for Power System Unit Commitment. Applied Sciences. 2019; 9(9):1776. https://doi.org/10.3390/app9091776
Chicago/Turabian StyleWang, Ying, Zhile Yang, Yuanjun Guo, Bowen Zhou, and Xiaodong Zhu. 2019. "A Novel Binary Competitive Swarm Optimizer for Power System Unit Commitment" Applied Sciences 9, no. 9: 1776. https://doi.org/10.3390/app9091776
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