基于粒子群算法的微电网配电优化

Aidong Xu, Runhui Zhao, Zhongqi Mao, Hong Wen, Yixin Jiang, Lingzhi Fei, Peiyao Wang, Yunan Zhang
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引用次数: 0

摘要

预测微网用户的行为和微网的发电配额对于实现微网发电机组和用户之间的最佳配电交互具有重要意义。本文采用粒子群算法得到微网交易模型的最优解,并通过收集和分析微网系统在边缘计算模块下的发电量和需求数据,通过归一化函数和权重比例公式计算图节点各成本属性的权重比例。在小型分布式自治微电网下的实验验证了该方法的有效性。
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The Optimization of Microgrid Distribution Based on PSO
It is important to predict microgrid user's behaviour and the power generation quota of the microgrid for the optimal interaction of power distribution between microgrid generators and users. In this paper, PSO algorithm is used to get the optimal solution of the micro network transaction model, and the weight proportion of each cost attribute of the graph node is calculated through the normalization function and weight proportion formula by collection and analysis the producing electricity and demand data of microgrid system under the edge computing module. The experiment under a small distributed autonomous microgrid proves the effectiveness of the novel method.
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