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作 者:许骁栋 周佳卿 刘议华 XU Xiaodong;ZHOU Jiaqing;LIU Yihua(Shinan Power Supply Company,State Grid Shanghai Electric Power Company,Shanghai 200030,China)
机构地区:[1]国网上海市电力公司市南供电公司,上海200030
出 处:《电器与能效管理技术》2025年第2期64-70,共7页Electrical & Energy Management Technology
摘 要:随着电网规模的不断扩大,设备停电管控存在的停电申请拖沓、停电计划变更频繁等问题,使得停电计划统计与分析工作变得日益烦琐复杂。首先依托i国网平台构建停电计划全过程管控平台,实现对停电计划全过程的监控管理;然后利用停电计划客户诉求波动监测技术,建立客户诉求波动预测模型,以实现客户诉求波动及原因追溯量化监测分析,提高客户服务管理水平及停电精益化服务能力;最后通过实验对预测模型校验及客户诉求监测等方面进行验证分析。结果表明,所提预测模型对停电计划精细化管理、全要素管控具有很好的效果。With the continuous expansion of the power grid,there are problems such as delayed power outage applications and frequent changes in power outage plans in the equipment power outage management control,making the statistical and analytical work of power outage plans cumbersome and complex.Firstly,a power outage plan full process control platform based on the i-State Grid platform is constructed to achieve monitoring and management of the entire power outage plan process.Then,using the power outage plan customer demand fluctuation monitoring technology,a customer demand fluctuation prediction model is established to achieve quantitative monitoring and analysis of customer demand fluctuation and cause tracing,improving the customer service management level and the lean service capacity of power outage.Finally,the experimental verification and analysis are conducted on the validation of the prediction model and the customer demand monitoring.The results show that the proposed customer demand fluctuation prediction model has good effects on the refined management of power outage plans and the full factor management and control.
分 类 号:TM73[电气工程—电力系统及自动化]
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