µGrid Manager против AlpSolarr Использование & Stats

The μGrid Manager or The Microgrid Manager provides insightful information of a remote microgrid on how it operates from an energy management perspective. Besides performing as a local control unit, Micro Energy Management System (μEMS) is a crucial automation platform that pushes/fetches data to/from a dedicated cloud service for further processing. Key microgrid components consist of a photovoltaic system, an energy storage system, a wind generator, a power conditioning system, a diesel generator, a weather station, an energy meter, and other types of equipment. Automatic data engineering pipelines are in place for ultimate analytics. Concerned people such as a microgrid landlord, an operation staff, a project developer, or even a concerned person can get some benefits out of this platform by not having to be on-site at all times. Extra expert advice is also notified in the application based on complex data patterns. These provide an all-in-one companion application serving at your fingertip.
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iEMS Introduction AlpSolarr's iEMS system is based on its self-developed energy management platform. lt is a dedicated system to ESS with functions of information collection and monitoring, statistical analysis, and optimal scheduling. lt can be applied to various scenarios on the power generation side, grid side, and user side. It provides comprehensive, dimensional, and systematic solutions for the energy storage industry. The platform adopts a client-server-oriented architecture system and a service-oriented architecture system (SOA), providing general support services for the implementation of various application functions. The platform is divided into a three-layer structure, including the system layer platform layer, and application layer. Flexible in deployment, it can be both on and off the cloud and supports various standard protocols-EC101/104/61850,Modbus,etc. Highlights -Battery Management Examine and control the voltage, temperature, and internal resistance of each battery cell to achieve battery life cycle operation, maintenance, and management as well as proactive control and prevention. -Intelligent Algorithm Built-in multiple Al intelligent algorithms, which can accurately predict power generation and load, and achieve power optimization and control at the same time, so as to fit in multiple scenarios. -Massive Data Support Millions of data access points allow a big data model of the battery to be established. -Intelligent Operation and Maintenance Based on the multi-dimensional data collection and monitoring system, the overall life cycle of energy storage devices is well-managed.
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µGrid Manager VS.
AlpSolarr

декабрь 19, 2024