An Improved Constrained Order Optimization Algorithm for Uncertain SCUC Problem Solving

Junjie Jia, Nan Yang, Chao Xing, Haoze Chen, Songkai Liu, Yuehua Huang and Binxin Zhu
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Junjie Jia: New Energy Micro-grid Collaborative Innovation Centre of Hubei Province, China Three Gorges University, Yichang 443002, China
Nan Yang: New Energy Micro-grid Collaborative Innovation Centre of Hubei Province, China Three Gorges University, Yichang 443002, China
Chao Xing: Electric Power Research Institute, Yunnan Power Grid Co., Ltd., Kunming 650217, China
Haoze Chen: State Grid Yichang Power Supply Company, State Grid Hubei Electric power CO., Ltd., Yichang 443000, China
Songkai Liu: New Energy Micro-grid Collaborative Innovation Centre of Hubei Province, China Three Gorges University, Yichang 443002, China
Yuehua Huang: New Energy Micro-grid Collaborative Innovation Centre of Hubei Province, China Three Gorges University, Yichang 443002, China
Binxin Zhu: New Energy Micro-grid Collaborative Innovation Centre of Hubei Province, China Three Gorges University, Yichang 443002, China

Energies, 2019, vol. 12, issue 23, 1-19

Abstract: Studying the faster and more efficient method of solving the uncertain security-constrained unit commitment (SCUC) problem is an urgent need for the development of power systems under the background of large-scale wind power access and power dispatching. This study proposes an improved constrained order optimization (COO) algorithm to solve the uncertain SCUC problem. First, the data-driven discrete variable identification strategy is incorporated into the COO rough model, and then, the invalid security constraints identification strategy is incorporated into the COO accurate model. Finally, the improved COO algorithm combines the discrete variable identification with the invalid security constraint identification to make the uncertain SCUC decision. The results of the IEEE 118-bus test system showed that, compared with the traditional COO algorithm, the improved COO algorithm proposed has higher accuracy and better efficiency.

Keywords: security-constrained unit commitment; data-driven; discrete variable identification; invalid effective safety constraint identification; improved constraint order optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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