Electric power resource coordinated 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 ignoring experience and satisfaction, lack of humanization, 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 power resources considering electric vehicle demand response according to the present invention, see figure 1 As shown, in the structure of electric vehicle-charging pile-dispatching center based on wireless-Bluetooth-mobile communication network connection, the user terminal transmits load demand to the charging pile through the mobile communication network through the APP, and the built-in Bluetooth of the charging pile collects user terminal data information, 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 communicate and interact through wireless networks, and construct a dispatching center as the upper layer, charging piles and electric vehicles as the lower layer Two-layer model structure, the process of power resource scheduling includes:
[0097] Step 1. Analysis of flexible...
Embodiment 2
[0182] With the same inventive concept as in Embodiment 1, a two-tier coordination and dispatching system for electric resources in consideration of electric vehicle demand response according to the present invention includes:
[0183] The data acquisition module is used to acquire the charging power demand of the electric vehicle;
[0184] The scheduling model acquisition module is used to acquire a two-tier model of power resources, the two-tier model of power resources includes a system scheduling layer and a flexible load layer, and the system scheduling layer takes the peak-to-valley difference of load and the minimum charging power demand deviation as the system scheduling The optimization objective of the flexible load layer is the optimization objective of the flexible load response with the minimum charging cost, the minimum uncertainty of the electric vehicle's responsive resources, and the maximum degree of satisfaction of the user's charging demand;
[0185] Coordi...
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