Optimal scheduling method of virtual power plant based on improved particle swarm algorithm

Lihan Yu; Ru Hong; Yiqian Yao; Jiaping Chen; Guoning Chen

doi:10.1117/12.2689494

10 August 2023 Optimal scheduling method of virtual power plant based on improved particle swarm algorithm

Lihan Yu, Ru Hong, Yiqian Yao, Jiaping Chen, Guoning Chen

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127481A (2023) https://doi.org/10.1117/12.2689494
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

As the complexity of electricity consumption increases, the traditional distribution network is increasingly unable to cope with the complex distribution network load. In order to improve the economic efficiency of the distribution network, this paper proposes an active distribution network economic optimisation dispatching method based on an improved particle swarm algorithm for accessing virtual power plants. After combining the actual situation of a region, the combination of the types as well as the number of distributed power sources and energy storage systems within the virtual power plant is comprehensively considered. The IEEE33 node system is introduced for simulation analysis, and constraints are set and modelled according to active power, reactive power and load demand. By improving the particle swarm algorithm, the selection of inertia weight is optimised to control the scheduling of internal and external power output of the virtual power plant for the twenty-four hours of the day. At the same time, power is purchased from the upper grid in combination with the tariff, and finally the minimum daily operating cost of the distribution network is obtained. This method reduces costs by 11.4% compared to the non-optimised period. It also improves the speed of convergence and perfects the composition of the active distribution network.

Citation Download Citation

Lihan Yu, Ru Hong, Yiqian Yao, Jiaping Chen, and Guoning Chen "Optimal scheduling method of virtual power plant based on improved particle swarm algorithm", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127481A (10 August 2023); https://doi.org/10.1117/12.2689494

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KEYWORDS

Particles

Particle swarm optimization

Renewable energy

Photovoltaics

Solar energy

Turbines

Power grids

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