District-level charging load regulation and control strategy and method based on model predictive control

A technology of model predictive control and charging load, applied in forecasting, photovoltaic power generation, electrical components, etc.

Active Publication Date: 2019-09-27
北京全来电科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problems of prediction error and randomness encountered in load control at the station area level, reduce the three-phase unbalance degree, improve the charging service capacity of the station area and increase the number of stations on the premise of ensuring that the power of the station area does not exceed the limit. District income, with the ability to track the superior scheduling curve

Method used

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  • District-level charging load regulation and control strategy and method based on model predictive control
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  • District-level charging load regulation and control strategy and method based on model predictive control

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Embodiment Construction

[0107] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0108] Such as figure 1 As shown, a station-level charging load regulation strategy based on model predictive control includes the following contents:

[0109] According to the analysis of the historical electric vehicle charging information of the location of the station area, adjust the proportion of charging behavior during the day / day, generate several scenarios of electric vehicle charging demand, and make multi-scenario forecasts for dist...

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Abstract

The invention discloses a district-level charging load regulation and control strategy and method based on model predictive control. The district-level charging load regulation and control strategy comprises the steps of day-ahead strategy making, day-ahead rolling optimization and real-time feedback correction. The district-level charging load regulation and control strategy is divided into an autonomous balance mode and a scheduling response mode; the method aims to solve the problems of prediction errors, randomness and the like in transformer area level load regulation and control, can reduce the three-phase imbalance degree on the premise of ensuring that the power of a transformer area is not out of limit, improves the charging service capability of the transformer area and increases the profit of the transformer area, and has the capability of tracking a superior scheduling curve.

Description

technical field [0001] The invention relates to the field of intelligent power consumption and economic dispatching of electric power systems, in particular to a strategy and method for regulating charging load at the station level based on model predictive control. Background technique [0002] In the current research on orderly charging, it is believed that the charging power of electric vehicles can be completely controlled by the operator or the grid. However, in actual application scenarios, charging power regulation is affected by various factors such as BMS and charging piles. As the basic unit of distribution network management, the station area is the terminal node for users, distributed new energy, energy storage and charging facilities to access the power grid. Through the intelligent regulation and independent balance of the station area, it can provide high-quality services for users such as electric vehicles, realize the local consumption of new energy, improv...

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06H02J3/28H02J3/38H02J3/46
CPCH02J3/383G06Q10/06315G06Q10/0637G06Q10/04H02J3/46H02J3/28G06Q50/06H02J3/003Y02E10/56Y04S10/50Y02E40/70
Inventor 陈中周文闻张梓麒邢强
Owner 北京全来电科技有限公司
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