A virtual power plant optimal scheduling method considering demand response and carbon trading
A technology for virtual power plants and optimal scheduling, which is used in data processing applications, forecasting, resources, etc.
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[0071] The present invention proposes a virtual power plant optimization scheduling method considering demand response and carbon trading. The implementation process includes the following detailed steps:
[0072] Step 1. Count the number of distributed power sources (such as gas turbines, wind turbines, and photovoltaic generators) in the virtual power plant, as well as the number of controllable loads that can participate in demand response, such as electric vehicles and water storage air-conditioning systems;
[0073] Step 2. Predict the output of wind power and photovoltaic units in the virtual power plant and the rigid load in the power system on the next day;
[0074] Step 3. The energy management system of the virtual power plant accepts the recently declared information of the electric vehicle owner, which specifically includes: the grid connection and off-grid time of each electric vehicle, the estimated initial battery state of charge and the expected off-grid state o...
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