Research on security-constrained unit commitment based on an improved ordinal optimization algorithm
Zhi Xia Zhang,Guobin Xu,Nan Yang +2 more
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TL;DR: Based on the existing constrained ordinal optimization (COO) algorithm, an improved OO algorithm was proposed in this article , which can be applied to solve SCUC problems. But, it is not suitable for the case of large number of users.
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Abstract: It is of great significance for the development of intermittent renewable energy and the marketization of electricity to study an efficient and accurate algorithm for solving the unit commitment problem with security constraints. Based on the existing constrained ordinal optimization (COO) algorithm, an improved ordinal optimization (OO) algorithm is proposed, which can be applied to solve SCUC problems. In order to solve the rough model and the accurate model, the discrete variable identification strategy and the effective safety constraint reduction strategy are adopted, respectively. Compared with the traditional object-oriented algorithm, the improved object-oriented algorithm not only gives full play to the computational efficiency of the traditional object-oriented algorithm but also further improves the compactness and reduces the computational redundancy. IEEE 118 simulation results verify the correctness and effectiveness of the algorithm.
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Citations
Seq2Seq-Based-Day-Ahead Scheduling for SCUC in Islanded Power Systems with Limited Intermittent Generation
Zuhaib Nishtar,Jamil Afzal +1 more
TL;DR: Seq2Seq-based day-ahead scheduling for SCUC in islanded power systems with limited intermittent generation increases precision and flexibility of unit commitment choices.
References
A Chance-Constrained Two-Stage Stochastic Program for Unit Commitment With Uncertain Wind Power Output
TL;DR: In this article, a combined sample average approximation (SAA) algorithm is developed to solve the unit commitment problem with uncertain wind power output, and the convergence property and the solution validation process of the proposed combined SAA algorithm is discussed and presented in the paper.
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Multi-energy coordinated microgrid scheduling with integrated demand response for flexibility improvement
TL;DR: Simulation results indicate that the proposed coordinated scheduling model and the optimal operation method are universal and effective over the entire multi-energy dispatching horizon.
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A Solution to the Chance-Constrained Two-Stage Stochastic Program for Unit Commitment With Wind Energy Integration
TL;DR: In this paper, a chance-constrained two-stage stochastic program programming formulation is proposed for the unit commitment problem with uncertain loads and wind power to provide high reliability of power supply and to ensure the high utilization of wind generation.
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Intelligent Data-Driven Decision-making Method for Dynamic Multi-Sequence: An E-Seq2Seq Based SCUC Expert System
Nan Yang,Cong Yang,Lei Wu,Xun Shen,Junjie Jia,Zhengmao Li,Daojun Chen,Binxin Zhu,Songkai Liu +8 more
TL;DR: An expanded sequence-to-sequence (E-Seq2Seq)-based data-driven SCUC expert system for dynamic multiple-sequence mapping samples and results indicate that the proposed approach could possess strong generality, high solution accuracy, and efficiency over traditional methods.
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A Comprehensive Review of Security-constrained Unit Commitment
TL;DR: In this article , the basic mathematical model of the standard SCUC is summarized, and the characteristics and application scopes of common solution algorithms are presented, and customized models focusing on diverse mathematical properties are then categorized and the corresponding solving methodologies are discussed.