摘要
传统方法根据历史运行数据预测分布式能源出力,预测偏差较大导致能源协调控制效果较差。为此,提出基于物联网技术的分布式能源协调远程控制方法。利用物联网技术监测分布式能源系统,采集温度、光照、风速、风向等气象数据,并据此预测分布式能源出力。以分布式能源系统和配电网进行功率交互时的系统内部能量平衡为目标,构建分布式能源协调远程控制模型,求解模型得到最佳控制策略。经实验验证,所提出的方法对分布式能源协调控制效果较好,可使分布式能源出力曲线与系统实际日负荷需求曲线之间拟合度较高,有利于提升配电网对分布式能源的消纳能力。
Conventional methods predict outputs distributed generations based on historical operating data,but the large prediction deviation leads to poor control utility.This work proposed a coordinated remote control method of distributed generations based on Internet of Things technology.The method utilizes IoT technology to monitor distributed generation system and collect meteorological data such as temperature,lighting,wind speed,and wind direction during system operation,based on which the output can be predicted.Aiming at the internal energy balance between distributed generations and distribution network during power interaction,a coordinated remote control model was constructed,and the optimal control strategy was obtained by solving the model.The proposed method was indicated by experimental verification to have satisfactory control utility for distribution generations,as it can achieve high fitness between output curve of distributed generation and daily load curve of distribution network,and thereby to be conducive to promoting consumption and absorption capability of distribution networks to distributed generations.
作者
杜争过
DU Zhengguo(Xi'an Xingang Distributed Energy System Co.,Ltd.,Xi'an 710016,China)
出处
《电工技术》
2024年第12期20-22,26,共4页
Electric Engineering
关键词
物联网技术
分布式能源
协调控制
远程控制
Internet of Things technology
distributed generations
coordinated control
remote control
