Power supply area level charging device regulation method and system, and electronic device
By using particle swarm optimization algorithm to quickly optimize the power allocation of charging piles on the concentrator, the problems of dependence on SOC curve and high complexity of existing charging pile control methods are solved, and fast and stable three-phase load balancing and grid security are achieved.
CN122247023APending Publication Date: 2026-06-19BEIJING SMARTCHIP MICROELECTRONICS TECHNOLOGY CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING SMARTCHIP MICROELECTRONICS TECHNOLOGY CO LTD
- Filing Date
- 2026-02-06
- Publication Date
- 2026-06-19
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Figure CN122247023A_ABST
Abstract
This invention discloses a method, system, and electronic device for regulating charging equipment at the distribution area level, applied to a concentrator between a load management platform and charging piles, and relating to the field of power system load regulation technology. The method includes: the concentrator acquiring the actual power of N charging piles within the distribution area; generating several particles based on the power; determining position and speed constraints based on the physical limitations of the charging piles; defining speed updates and an objective function, the objective function including: total power constraints, regulation minimization constraints, and load balancing constraints; wherein, the inertia weight in the speed update is dynamically adjusted in conjunction with population diversity, the learning factor introduces a phase shift associated with the improvement rate of the objective function, and random numbers are adaptively generated based on the optimal update frequency of individual particles. The implementation of this invention solves the problems of poor user experience, unbalanced three-phase loads, and high algorithm overhead in existing regulation methods, making them difficult to adapt to the computing power of embedded devices such as concentrators.
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