远程非常规用电检测系统在低压台区环境污染治理中的应用研究

Application of Remote Unconventional Electricity Detection System in Environmental Pollution Control of Low-voltage Station Area

为有效解决远程非常规用电检测系统在低压台区环境污染治理中的难题,文章设计了一种远程非常规用电检测系统。系统硬件部分利用Web服务技术开发了支持远程非常规用电数据源以及符合对应标准的用电质量基础数据服务模块。以用户历史用电的负荷数据作为基础,通过粒子群算法提取用户相同行业的负荷模式曲线以及用户历史数据的负荷模式曲线,选取不同的负荷数据预处理方式和模式评价方式,实现远程非常规用电检测。实验以低压台区为例,充分验证了所设计检测系统的有效性。

In order to effectively solve the problem of remote unconventional power consumption detection system in the environmental pollution control of low-voltage station area,this paper designs a remote unconventional power consumption detection system.The system hardware part uses Web service technology to develop a basic data service module that supports remote unconventional power consumption data sources and power consumption quality that meets the corresponding standards.Based on the load data of the user’s historical electricity consumption,the particle swarm algorithm is used to extract the load pattern curve of the user in the same industry and the load pattern curve of the user;s historical data,and select different load data pre-processing methods and pattern evaluation methods to achieve remote unconventional use of electric detection.The experiment takes the low-pressure station area as an example,fully verifying the effectiveness of the designed detection system.