Large-scale electric vehicle cluster coordinated charging optimization method based on greedy repair genetic algorithm
US12391141B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 7, 2025 |
| Grant date | Aug 19, 2025 |
| Priority date | — |
| Expiry date | Jan 7, 2045 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/06
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
The disclosure relates to the technical field of power system management, and in particular to a large-scale electric vehicle cluster coordinated charging optimization method based on greedy repair genetic algorithm. the method includes the following steps: Si, establishing a task model: establishing a task model of electric vehicle cluster coordinated charging in large charging stations; S2, constructing constraint conditions: constructing constraint conditions for the coordinated charging optimization problem; S3, constructing a constrained optimization problem: designing an objective function with the minimum charging cost, performing linear mathematical transformation on non-linear constraint conditions, and constructing a 0/1 integer linear programming problem; and S4, solving the constrained optimization problem with a custom genetic algorithm based method: carrying out genetic coding on a decision model of the charging station, and specifically designing a genetic algorithm with greedy repair operators to solve the constructed constrained optimization problem.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.