Virtual power plant random adaptive robust optimization scheduling method considering block chain technology
An adaptive robust, virtual power plant technology, applied in system integration technology, information technology support system, computing, etc., can solve problems such as insecure information and data, unreasonable profit distribution, and cumbersome management
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[0103] The specific implementation of the random self-adaptive robust optimization scheduling method of the virtual power plant considering the block chain technology of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0104] According to the present invention, a virtual power plant random self-adaptive robust optimization scheduling method considering block chain technology, such as figure 1 shown, including the following steps:
[0105] Step 1, constructing a VPP deterministic model aiming at profit maximization of a virtual power plant (virtual powerplant, VPP) according to the original data; constructing model constraints; the original data includes: the day-ahead energy market (day-aheadenergy market, DAM), Real-time energy market (real-time energy market, RTM) data and parameters of each aggregation unit of VPP; the constraints include: gas turbine constraints, ESS constraints, interruptible load constraints, DAM / RT...
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