The centralized O&M system of renewable energy power stations upholds the lean O&M concept of "data support for every operation and maintenance act". The centralized O&M system is developed with advanced technologies such as big data, cloud computing and AI; benefiting from the advantages of the special transformer electrician in the power engineering (especially the wind and light system integration capability) and the ecological chain of intelligent power equipment development, the system realizes all-round real-time collection, efficient transmission, accurate calculation, intelligent processing and multi-dimensional display through the data collection and analysis of the connected wind power and PV power projects. The system is also meaningful for the owner to carry out collectivized, accurate and life-cycle project O&M management, and helps the power station managers to clearly control the power generation performance of the power station system through c
MOREFocusing on the development, construction and post-operation and maintenance services of household power stations, a standardized household business process system and data model are established to realize efficient coordination and rapidly provide large-scale development, construction and O&M services of household projects. The system has a complete engineering management process, supply chain process, change process, financial process and mobile O&M process to maximize the development efficiency and O&M level and ensure project revenues.
MOREPV power station monitoring system is a set of monitoring system developed for renewable energy PV power station. The system can realize real-time monitoring of data, remote equipment control, early warning of equipment failure, historical data query, reporting, and other basic functions, as well as power station index analysis, power station health analysis, equipment operation analysis and other advanced functions. Therefore, the system can meet the daily O&M requirements of PV power stations, improve the management efficiency of PV power stations and the O&M level of PV power stations, shorten the equipment downtime, expand the generation capacity of PV power stations and increase the overall investment yield of PV power stations.
MOREThe system, based on the measured meteorological data of power stations, integrates the information from global mainstream meteorological sources (NASA, Meteonorm, Solargis, FY-4 meteorological satellite and national meteorological stations). For the practical problems such as inaccurate assessment of domestic solar energy resources, this system innovatively establishes an light resource assessment model that combines measured meteorology with mainstream meteorology to provide accurate light resource assessment services for the early development of the project.
MOREFor conventional PV power stations, it is difficult to locate cascade faults, with heavy patrol inspection workload and large power loss due to faults. Through the PV string IV scanning and intelligent diagnosis system integrated with AI, the string fault diagnosis of PV power stations can be realized, and "zero patrol inspection" can be achieved for O&M, and the O&M efficiency can be improved by more than 50%. The annual O&M cost of a 50MW power station can be reduced by about RMB150,000, the annual power loss due to fault can be reduced by about RMB270,000, and the benefit can be improved by more than RMB10 million in the 25-year life cycle of the station.
MOREPark-type energy Internet (microgrid) mainly provides green energy solutions for science and technology parks and industrial parks. The microgrid energy management system is the "smart brain" of the microgrid. It adopts the "double-ended" architecture of station end and cloud end, and has a micro-second level microgrid central controller. Through the coordinated source-grid-load-storage control, the system intelligently optimizes and dispatches the energy used in the park, providing a safe and reliable operation strategy for the microgrid operation in the industrial park.
MOREIn view of the problems such as time consumption, great investment in human resources and limited scheme quality in the process of formulating the resource allocation planning scheme for "source-grid-load-storage" projects, a zero-carbon park planning simulation system is developed with big data mining and AI algorithm as the core technologies, and is designed to provide a powerful digital simulation tool for project resource planning under the "3060" strategy.
MOREBased on the continuous accumulation of trading technology in the electricity market, the system interconnects existing information management systems and various internal and external data of electricity sales companies to realize data sharing. By combining data science with business key technologies, a business digital forecast model is established and continuously optimized to provide price forecast, load forecast, spot and medium-and long-term market trading aid decision-making for power generation companies and electricity sales companies. In this way, the system improves the organizational efficiency and operational efficiency of renewable energy enterprises and helping customers to obtain higher investment returns.
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