一种云边协同下基于多目标粒子群优化的电动汽车有序充电功率柔性控制器设计
By using a multi-objective particle swarm optimization flexible controller for electric vehicle charging power under IoT cloud-edge collaboration, the problem of a single optimization objective for electric vehicle charging has been solved. This has enabled the orderly allocation of electric vehicle charging power and the optimization of grid operating costs, thereby improving the efficiency and reliability of the distribution network.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHONGQING UNIV
- Filing Date
- 2024-05-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for orderly charging of electric vehicles have a single optimization objective, lack consideration for the interests of users, the power grid, and other stakeholders, and lack practical applications, leading to challenges in the carrying capacity of the distribution network and power quality issues.
This paper designs a flexible controller for orderly charging power of electric vehicles under the IoT cloud-edge collaboration framework. By constructing an IoT cloud-edge collaborative framework for orderly charging in the community, the system utilizes the multi-objective particle swarm optimization algorithm to optimize charging power allocation and combines IGBT control to achieve flexible power output, thereby reducing the load peak-valley difference and grid operation costs.
It has enabled the orderly allocation of electric vehicle charging power, improved the utilization rate of power distribution network assets and power supply reliability, reduced the peak-valley difference of community load and power grid operating costs, and promoted the added value of vehicle, charging pile and grid benefits.
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Figure CN118683393B_ABST