Multi objective optimization model of demand side resource aggregation in market environment

Aiguo Liu; Guangyao Miao; Hui Liu; Yefei Li; Yingzhu Han; Dunnan Liu; Mingguang Liu

doi:10.1117/12.2626420

21 December 2021 Multi objective optimization model of demand side resource aggregation in market environment

Aiguo Liu, Guangyao Miao, Hui Liu, Yefei Li, Yingzhu Han, Dunnan Liu, Mingguang Liu

Proceedings Volume 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021); 121561A (2021) https://doi.org/10.1117/12.2626420
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 2021, Sanya, China

Abstract

This paper discusses the multi-objective optimization problem of how demand side resources respond flexibly to power grid dispatching based on market environment. Demand side resources dominated by large industrial users have great scheduling potential and response enthusiasm, especially flexible loads dominated by energy storage, adjustable loads and interruptible loads. Therefore, based on the analysis of the characteristics of flexible load participating in market aggregation, aiming at the minimum power abandonment of new energy and the lowest power consumption cost of users, comprehensively considering the power constraints of unit output and electrical equipment, the particle swarm optimization algorithm is used to verify and solve the example. Finally, the optimization goal of peak shaving and valley filling is realized to a certain extent, but there is still room for improvement.

Citation Download Citation

Aiguo Liu, Guangyao Miao, Hui Liu, Yefei Li, Yingzhu Han, Dunnan Liu, and Mingguang Liu "Multi objective optimization model of demand side resource aggregation in market environment", Proc. SPIE 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 121561A (21 December 2021); https://doi.org/10.1117/12.2626420

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