Micro-grid prediction control method considering internal charging and discharging of cluster electric vehicles
An electric vehicle and predictive control technology, applied in electric vehicle charging technology, electric vehicles, battery/fuel cell control devices, etc. Effect
Pending Publication Date: 2022-01-28
SOUTHEAST UNIV +1
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Problems solved by technology
[0003] Although most of the current research on charging and discharging strategies realizes the peak-shaving and valley-filling of the load in the microgrid through the charging and discharging control of cluster electric vehicles to a certain extent, relieves the pressure on the grid operation, and reduces the cost of grid operation, but it does not The charging urgency of each electric vehicle is not considered, which may lead to the phenomenon that the power is still low when off-grid
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[0064] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0065] A microgrid predictive control method considering internal charge and discharge of cluster electric vehicles, comprising the following steps:
[0066] S1. Input the wind energy and base load data of a typical day in a certain place, and predict the relevant characteristics of electric vehicles to be connected to the microgrid;
[0067] The electric vehicle-related characteristics in step S1 include the arrival time of each electric vehicle and the power SOC ...
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The invention relates to the field of micro-grid prediction control, and discloses a micro-grid prediction control method considering internal charging and discharging of cluster electric vehicles. The method comprises the following steps: S1, inputting wind energy and basic load data of a certain place and a certain typical day, and predicting the related characteristics of each electric vehicle to be connected to a micro-grid; S2, judging whether each electric vehicle connected to the micro-grid participates in regulation or not, if not, turning to step S3, and otherwise, turning to step S4; S3, independently calculating the charging power of the electric vehicle which does not participate in regulation and control; S4, adopting a double-layer model predictive control strategy for the electric vehicles participating in regulation and control, and firstly, carrying out upper-layer charging and discharging optimization on the cluster electric vehicles; S5, based on the step S4, carrying out charging and discharging power distribution on each electric vehicle at the lower layer; S6, judging whether rolling optimization is finished or not, if so, turning to step S7, and otherwise, turning to step S1; and S7, outputting the optimal charging and discharging strategy of the cluster electric vehicles. The charging urgency of each electric vehicle is considered, and the operation pressure of the power grid is relieved.
Description
technical field [0001] The invention relates to the field of predictive control of a micro-grid, in particular to a predictive control method for a micro-grid considering charging and discharging inside a cluster electric vehicle. Background technique [0002] At present, the world is facing the problems of global warming and environmental pollution. Therefore, the country vigorously promotes the development of electric vehicles, combined with the output of clean energy such as wind energy and photovoltaics, which can effectively alleviate the problem of environmental pollution. With the rapid increase in the number of electric vehicles, on the one hand, it can be used as an energy storage device, using V2G technology, which can not only transmit electric energy to the grid, but also obtain electric energy from the grid; The peak load increases, which increases the difficulty of grid operation and management. Therefore, in order to reduce the pressure on the power grid and ...
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Login to View More IPC IPC(8): H02J3/00B60L53/63B60L58/12G06Q10/06G06Q50/06
CPCH02J3/003B60L53/63B60L58/12G06Q10/06312G06Q10/06315G06Q50/06H02J2203/20Y02T10/70Y02T10/7072Y02T90/12
Inventor 高山史倩芸吴传申刘宇
Owner SOUTHEAST UNIV