基于配电物联云边协同的换相开关控制策略

Phase⁃change switch control strategy based on cloud⁃edge collaboration of power distribution Internet of Things

为有效降低配电网线路损耗,提升配电台区电能质量,深度优化低压配电三相不平衡等问题,文中提出一种基于配电物联网云边协同的智能换相开关自动控制策略。基于配电物联网云边协同网络架构,分别搭建合适的云端负荷预测模型与边端换相寻优算法模型,充分利用云边两方不同的计算能力对换相开关进行协同控制;然后对比本地化监测环境数据与气象数据,分别结合长短期记忆神经网络对台区用户负荷进行短期预测,得出使用本地化数据可以有效提高云端负荷预测的准确度。最后,结合算例并使用遗传算法,对比基于预测结果的换相开关寻优模型控制与常规换相开关控制方式对短期内台区负荷的三相平衡预测。通过实物仿真实验对理论计算结果进行验证得出,所提控制策略具有可行性。

In order to effectively reduce the line loss of distribution network,improve the power quality in distribution station area and deeply optimize the low⁃voltage distribution with three⁃phase imbalance,an intelligent phase⁃change switch automatic control strategy based on cloud⁃edge collaboration of distribution Internet of Things is proposed.Based on the cloud⁃edge collaboration network architecture of the power distribution Internet of Things,appropriate cloud load forecasting model and edge side phase⁃change optimization algorithm model are built respectively,and the collaborative control of phase⁃change switch is conducted by means of the different computing capabilities on the two sides of the cloud edge.By comparing the localized monitoring environmental data and meteorological data,and combining them with the long⁃and short⁃term memory neural network respectively to make short⁃term prediction of the user load in the station area,it is verified that the use of localized data can effectively improve the accuracy of cloud load prediction.In combination with examples and genetic algorithm,the short⁃term prediction effects of three⁃phase balance station load of the phase⁃change switch optimization model control mode and the conventional phase⁃change switch control mode are compared basedon predictive results.The physical simulation experiment is used to verify the theoretical calculation results,and the results show that the proposed control strategy is feasible.