Power resource coordination scheduling method and system considering electric vehicle demand response
A technology of electric vehicles and power resources, applied in the direction of electric vehicle charging technology, power network operating system integration, resources, etc., can solve the problems of lack of humanization, neglect of experience and satisfaction, etc., to improve the ability of optimization and coordination, and enhance information interaction Effect
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Embodiment 1
[0096] A method for coordinating and dispatching electric power resources considering the demand response of electric vehicles according to the present invention, see figure 1 As shown, in the electric vehicle-charging pile-dispatching center structure based on the wireless-Bluetooth-mobile communication network connection, the user terminal transmits the load demand to the charging pile through the mobile communication network through the APP, and the built-in Bluetooth of the charging pile collects the data information of the user terminal, including Static parameters and dynamic parameters (such as rated charging power of electric vehicles, actual charging power, remaining battery power, etc.), charging piles and dispatching centers interact through wireless network communication to build a dispatching center as the upper layer, charging piles and electric vehicles as the lower layer. With a two-layer model structure, the process of power resource scheduling includes:
[00...
Embodiment 2
[0182] The same inventive concept as Embodiment 1, a dual-layer coordinated scheduling system for electric power resources considering the demand response of electric vehicles of the present invention includes:
[0183] The data acquisition module is used to acquire the electric vehicle charging power demand;
[0184] The scheduling model acquisition module is used to acquire a two-layer model of power resources. The two-layer model of power resources includes a system scheduling layer and a flexible load layer. The system scheduling layer takes the load peak-valley difference and the minimum charging power demand deviation as the system scheduling The optimization goal of the flexible load layer is the smallest charging cost, the smallest uncertainty of the electric vehicle's responsive resources, and the largest user-side charging demand satisfaction degree as the optimization goal of the flexible load response;
[0185] The coordination scheduling module is used to upload t...
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