考虑微网运行风险的电动汽车充放电调度优化方法和系统
By classifying the risk levels of microgrid operation and constructing an electric vehicle model, and combining the adaptive weighted particle swarm optimization algorithm to optimize the scheduling model, the problem of insufficient consideration of the risk status of microgrids is solved, and the accuracy and stability of electric vehicle scheduling within the microgrid are improved.
CN117293814BActive Publication Date: 2026-07-17HEFEI UNIV OF TECH
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HEFEI UNIV OF TECH
- Filing Date
- 2023-09-26
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing technologies do not fully consider the risk states of microgrids, resulting in poor optimal scheduling of electric vehicles and failing to achieve optimal results when risks occur in microgrids.
Method used
By classifying the risk levels of microgrid operation, models of distributed units and electric vehicles are constructed. The scheduling model is then optimized using an adaptive weighted particle swarm optimization algorithm to obtain the optimal charging and discharging strategy.
Benefits of technology
It improves the accuracy and stability of electric vehicle scheduling within the microgrid, enhances the stability and economic benefits of microgrid operation, and flexibly responds to different risk levels.
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Figure CN117293814B_ABST
Abstract
本发明提供一种考虑微网运行风险的电动汽车充放电调度优化方法和系统，涉及微网优化调度技术领域。本发明中，对于微网可能面临的气象类型灾害风险进行量化评估，并制定了不同层级运行风险状态下的微网优化策略，针对不同层级的风险，灵活改变微网经济性以及稳定性目标的相应权重，在保障微网安全稳定的前提下，实现微网经济效益的最大化。此外，构建了基于其各自运行特征的调度模型，提升了微网内电动汽车调度的精准性，增强了微网内电动汽车充放电调度规划的准确度，提高了微网运行的稳定性。
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