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

Liangliang Zhu, Chupeng Xiao, Jiaji Liu, Meng Yu, Chunyan Zhang, S. Bian
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Abstract

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.
基于改进粒子群优化的多工位集成调度算法
多站一体化是变电站、充电开关站和数据站一体化的延伸和扩展。随着新能源、储能、电动汽车等能源业态和新模式的快速发展,迫切需要利用新的信息通信技术探索能源互联网建设新模式,支撑电网业务。本文对多站综合系统的运行成本进行了建模和分析。首先对光伏电站、储能电站、充电站等电站进行建模,建立运行成本模型;其次,采用改进的粒子群优化算法对模型进行求解,实验结果证明了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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