to effectively improve production, operation and maintenance efficiency and reduce enterprises’ operating costs, we centralized control system adopts an end-to-end data solution to realize the real-time monitoring on wind and photovoltaic power generation equipment that is widely distributed and large in scale. the wind and photovoltaic power station operators’ capacity to manage and control multiple new energy plants is greatly enhanced through comprehensive information interconnection and intelligent analysis.
with the aid of the intelligent state perception for wind farms connected worldwide, the unified optimal operation management and operation decision-making of wind farms is achieved by means of multi-dimensional data management of regions, plants, booster stations, anemometer towers and so on.
the unit health risks and faults could be predicted and the early warning mechanism is established based on the mass data obtained from the control system and application of such core algorithm as machine learning to reduce unplanned downtime through preventive maintenance and repair, avoiding damage to major components and loss of power generation and enhancing the lean management of wind farms.
wind farms with few people or unattended operation is established with centralized monitoring, which can contribute to intensive resource sharing and reduction in the requirements for front-end personnel; operation and management efficiency of new energy plants is greatly improved owe to effectively shortened turnover cycle of personnel and materials benefiting from unified dispatching of regional service resources.
the comprehensive information interconnection and intelligent analysis of wind power generation equipment featuring wide distribution and large scale is realized with the help of end-to-end solutions based on mass data on enterprise-level private cloud platform, so the customers can easily keep abreast of the production and operation and enjoy convenient, efficient, transparent and interconnected operation and maintenance.
● global meteorological forecasts based on the cooperation with china meteorological administration and european centre for medium-range weather forecasts (ecmwf);
● regional unified management: monitoring on regions, plants, wind turbines/pv modules, inverters, intelligent bus boxes, booster stations and anemometer towers;
● centralized power control;
● recording of sequence of events and post disturbance review;
● expert fault diagnosis and maintenance strategy;
● examination of the health condition of components and establishment of the unit health management and control system;
● monitoring of sub-health condition of wtgs and early warning of hidden dangers;
● economic evaluation of national wind and photovoltaic energy resources;
● monitoring and of regional operation and maintenance vehicles;
● operation and maintenance mode based on mobile terminal app.