A price incentive micro-grid hierarchical optimization regulation method, medium and equipment
The microgrid hierarchical optimization regulation method based on price incentives optimizes the objective functions of electric vehicles and microgrids based on time-of-use pricing and price incentive mechanisms. By using an improved particle swarm optimization algorithm, the coordinated regulation of electric vehicles and microgrids is achieved, which solves the impact of electric vehicle access to microgrids on system stability and improves the satisfaction of electric vehicle users as well as the economy and security of microgrids.
CN120184904BActive Publication Date: 2026-06-05STATE GRID HUBEI MARKETING SERVICE CENT (MEASUREMENT CENT)
Patent Information
- Authority / Receiving Office
- CN ยท China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- STATE GRID HUBEI MARKETING SERVICE CENT (MEASUREMENT CENT)
- Filing Date
- 2025-02-19
- Publication Date
- 2026-06-05
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Figure CN120184904B_ABST
Abstract
The application provides a price incentive micro-grid hierarchical optimization regulation method, medium and equipment, relates to the distributed energy operation technical field, and the method is based on the time-of-use pricing mechanism, and the cost and the comprehensive satisfaction of the electric vehicle user are taken as the target to design the electric vehicle layer participation charging and discharging behavior optimization objective function through the electric vehicle charging and discharging as the bottom layer; based on the price incentive mechanism, the maximum benefit of the electric vehicle user and the minimum interaction power between the micro-grid and the main grid are taken as the target to design the optimization function; the electric vehicle charging and discharging scheme is transmitted to the micro-grid layer, the minimum micro-grid layer comprehensive cost and the minimum interaction power between the micro-grid and the main grid are taken as the micro-grid layer optimization objective function, the improved particle swarm algorithm is used to solve the micro-grid layer optimization objective function, and the micro-grid and the electric vehicle charging and discharging are adjusted accordingly. The above method can realize the high economy of the electric vehicle layer and the high stability and safety of the micro-grid layer.
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