A Multi-station Integration Scheduling Algorithm based on Improved Particle Swarm Optimization

Multi-station integration is the extension and expansion of the integration of substation, charging and switching station and data station. With the rapid development of new energy, energy storage, electric vehicles and other energy formats and new models, it is urgent to use new information and com...

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Bibliographic Details
Published in2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) pp. 227 - 232
Main Authors Zhu, Liangliang, Xiao, Chupeng, Liu, Jiaji, Yu, Meng, Zhang, Chunyan, Bian, Shimin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2021
Subjects
Analytical models
Charging stations
Costs
energy storage station
Multi-station integration
photovoltaic power
Photovoltaic systems
PSO
Scheduling algorithms
Substations
Switches
wind power
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Summary:Multi-station integration is the extension and expansion of the integration of substation, charging and switching station and data station. With the rapid development of new energy, energy storage, electric vehicles and other energy formats and new models, it is urgent to use new information and communication technologies to explore new models of energy Internet construction to support power grid business. In this paper, the operation cost of multi station integration system is modeled and analyzed. Firstly, the photovoltaic power generation, energy storage station, charging station and other stations are modeled to build the operation cost model; Secondly, the model is solved based on the improved particle swarm optimization algorithm, and the experimental results prove the effectiveness of the proposed algorithm.
DOI:10.1109/AIEA53260.2021.00055