宇晟电气Ushine品牌怎么样 申请店铺
立足用电企业等各类组织的配电运行服务,研发了静态无功发生器(SVG),配电在线监测系统等新一代智能产品
山东宇晟电气有限公司立足用电企业等各类组织的配电运行服务,努力建设专业的配电管理服务平台。开展了配电室运维托管、配电设备在线实时监测、用能管理升级等多种专业服务项目,覆盖了配电管理的各个模块,具体到配电系统诊断、运行、维修、维护等多个环节,使您的配电系统健康运行,有效减少故障造成的损失。
公司立足智能电网的建设发展,主要研发了静态无功发生器(SVG),配电在线监测系统等新一代智能产品。生产的单相及三相无功及不平衡补偿SVG(MEC)装置,广泛应用于电网的无功补偿、三相不平衡和谐波治理等方面,有效地提升了电能质量;生产制造的配电在线监测装置,集配电数据实时监测、故障报警、电量统计分析等多种功能于一体,实现了用电数据的可视化。
Based on the distribution operation services of various organizations such as power consumption enterprises, Shandong Yusheng Electric Co., Ltd. has developed a new generation of intelligent products, such as static var generator (SVG), distribution online monitoring system, etc. based on the distribution operation services of various organizations such as power consumption enterprises, it strives to build a professional distribution management service platform. We have carried out a variety of professional service projects, such as operation and maintenance trusteeship of distribution room, online real-time monitoring of distribution equipment, upgrade of energy utilization management, etc., covering various modules of distribution management, specifically to the diagnosis, operation, maintenance and other links of distribution system, so as to make your distribution system operate healthily and effectively reduce the losses caused by faults. Based on the construction and development of smart grid, the company mainly develops a new generation of smart products, such as static var generator (SVG), distribution online monitoring system, etc. The single-phase and three-phase reactive power and unbalanced compensation SVG (MEC) devices are widely used in the reactive power compensation, three-phase unbalanced and harmonic control of power grid, effectively improving the power quality; the production and manufacturing of the distribution online monitoring device, which integrates the real-time monitoring of distribution data, fault alarm, electricity statistical analysis and other functions, and realizes the visualization of power consumption data.
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