An Improved Constrained Order Optimization Algorithm for Uncertain SCUC Problem Solving

Author:

Jia Junjie,Yang Nan,Xing Chao,Chen Haoze,Liu Songkai,Huang Yuehua,Zhu BinxinORCID

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.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Efficient Optimization Method for Randomly Aggregating Unit Variables in SCUC;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15

2. Improved Method for SCUC Optimization with Feasibility Detection-based Induced Objective Function;2023 5th International Conference on Power and Energy Technology (ICPET);2023-07-27

3. Intelligent Data-Driven Decision-Making Method for Dynamic Multisequence: An E-Seq2Seq-Based SCUC Expert System;IEEE Transactions on Industrial Informatics;2022-05

4. Deep learning‐based SCUC decision‐making: An intelligent data‐driven approach with self‐learning capabilities;IET Generation, Transmission & Distribution;2021-10-16

5. Deployment of reserve requirements into the power systems considering the cost, lost, and reliability parameters based on sustainable energy;The International Journal of Electrical Engineering & Education;2020-12-22

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