Virtual power plant is a smart energy system that aggregates one or more resources such as adjustable loads, energy storage, power sources, etc. from different spaces to achieve autonomous coordination and optimized control, participate in power system operation and power market transactions.
The virtual power plant operation control system provides high-quality and convenient services for the entire transaction process of the virtual power plant.
Preparation period: Provide services such as resource access and resource profiling for operators to improve resource access efficiency.
Declaration period: Provide electricity price forecasting, new energy output forecasting and other services for operators to enhance the revenue potential of virtual power plants.
Clearance period: Provide clearance query, clearance result allocation and other services for operation personnel to reduce their workload.
Execution period: Reduce the risk of deviation assessment in virtual power plants through advanced deviation alarm, real-time collaborative control and other functions.
Settlement period: Provides functions such as response quality assessment and response settlement to improve operational efficiency for operators.
With the goal of achieving the dual carbon strategy, China is deploying pilot demonstrations of carbon trading, electricity sales trading, demand side response and other applications in some provinces and cities in China. Among them, virtual power plants and load aggregation pilot projects are being carried out in Guangzhou, Shanghai, Shenzhen, Hefei and other cities. Ruixi has developed virtual power plants and load aggregation modules suitable for the above-mentioned provinces and cities, which can be promoted and applied in major power sales companies and enterprises with adjustable load capacity.
Focusing on virtual power plant business, Ruixi can provide overall solutions and core products for resource access layer, edge computing layer, communication network layer, system control layer, and operation management layer.
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