Research on optimal scheduling of wind-solar-storage system based on improved multi-objective particle swarm optimization algorithm

Shu Liu; Yi Sun; Zihan Sun

doi:10.1117/12.3015255

6 February 2024 Research on optimal scheduling of wind-solar-storage system based on improved multi-objective particle swarm optimization algorithm

Shu Liu, Yi Sun, Zihan Sun

Author Affiliations +

Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129796S (2024) https://doi.org/10.1117/12.3015255
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China

Abstract

An optimal scheduling model of microgrid considering economy and energy utilization is established. The model consists of wind turbine, photovoltaic cell and battery. The optimal scheduling problem of the microgrid system model is studied. Under the constraints of equality and inequality, a multi-objective optimal scheduling model of microgrid including the life cycle cost of the whole system and the total wind-solar consumption ratio is established, and an improved Multi-Objective Particle Swarm Optimization algorithm (MOPSO) is used to solve the optimization problem. By introducing practical examples for simulation, it is found that the economy, environmental protection and stability of the microgrid system have been improved to a certain extent.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shu Liu, Yi Sun, and Zihan Sun "Research on optimal scheduling of wind-solar-storage system based on improved multi-objective particle swarm optimization algorithm", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129796S (6 February 2024); https://doi.org/10.1117/12.3015255

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