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作 者:黄雅君 冯鼎元 张景明 陈凯玲 HUANG Yajun;FENG Dingyuan;ZHANG Jingming;CHEN Kailing
机构地区:[1]国网上海经研院,上海200235
出 处:《电力系统装备》2025年第1期18-20,共3页Electric Power System Equipment
摘 要:为解决配电网电力负荷管理效率低下的问题,文章结合当前需求设计了基于物联网的配电网电力负荷管理系统.系统采用分层架构,包括数据采集、传输、处理和应用4层,实现了实时监控、负荷预测和需求侧响应等功能.重点开发了基于LSTM的负荷预测算法、HPSO负载均衡策略及双模式需求侧响应机制.测试结果表明,系统性能优异,可有效提高配电网运行效率.In order to solve the problem of low efficiency in power load management in distribution networks,this study designs an IoT based power load management system for distribution networks based on current needs.The system adopts a layered architecture,including four layers of data acquisition,transmission,processing,and application,to achieve real-time monitoring,load forecasting,and demand side response functions.The research focuses on developing load forecasting algorithms based on LSTM,HPSO load balancing strategies,and dual-mode demand side response mechanisms.The test results show that the system has excellent performance and can effectively improve the operational efficiency of the distribution network.
分 类 号:TM73[电气工程—电力系统及自动化]
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