A Bi-Level Optimization Model for Flexible Capacity Allocation with Coordinated Planning and Operation

Traditional methods for flexible capacity allocation do not take into account the actual operation status of resources, and this can lead to redundancy of allocation results in a high renewable penetration power system. Using collaborative optimization during the flexibility resource planning stage...

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Bibliographic Details
Published in:International transactions on electrical energy systems 2023, Vol.2023, p.1-13
Main Authors: Yin, Xinyu, Bian, Xiaoyan, Zhu, Qinran, Zhao, Jinbin, Lin, Shunfu, Lo, Kwok L.
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy
Clustering
Cost allocation
Economic impact
Entropy
Entropy (statistics)
Flexibility
Genetic algorithms
Linear programming
Morphology
Operating costs
Optimization
Optimization models
Pareto optimum
Redundancy
Renewable resources
Sorting algorithms
Weighting methods
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Summary:Traditional methods for flexible capacity allocation do not take into account the actual operation status of resources, and this can lead to redundancy of allocation results in a high renewable penetration power system. Using collaborative optimization during the flexibility resource planning stage can significantly improve the overall economics and flexibility. Therefore, a bilevel operation-planning joint optimization model for flexible capacity allocation is proposed in this paper. The aim is to optimize the annual total cost and flexibility of the system. The upper planning level introduces the economic costs, flexibility resource capacity, and flexibility index which are used as the evaluation index of system flexibility, while in the lower operation level, a morphological clustering algorithm based on the multiscale and entropy weight method is proposed for obtaining typical scenarios of flexibility demand. On this basis, the lower level simulates production to estimate daily operating costs. In addition, the model is solved iteratively using the nondominated sorting genetic algorithm-II (NSGA-II) and the linear programming method to obtain the Pareto solutions. Case studies are carried out based on a practical town area, and the results verify the validity and rationality of the proposed bilevel capacity allocation model.
ISSN:2050-7038
2050-7038
DOI:10.1155/2023/8352768