一种基于改进型鲁棒优化的多能源电力系统优化调度方法
By using an improved robust optimization method, combined with the constraints of thermal power units, renewable energy and energy storage systems, and employing the Benders decomposition method and adjustment factors, the problem of insufficient flexibility of existing robust optimization methods under the uncertainty of renewable energy is solved, and efficient and reliable dispatch of the power system is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- KUNMING UNIV OF SCI & TECH
- Filing Date
- 2025-01-20
- Publication Date
- 2026-07-17
AI Technical Summary
Existing robust optimization methods cannot balance robustness and economy when dealing with the uncertainty of renewable energy, and lack dynamic adjustment mechanisms, resulting in insufficient flexibility of dispatch schemes and difficulty in meeting the real-time needs of the power system.
An improved robust optimization method is adopted, which aims to minimize the total operating cost of the power system. It combines the constraints of thermal power units, renewable energy and energy storage systems, uses the Benders decomposition method to handle robust optimization, introduces adjustment factors to control the balance between robustness and economy, and dynamically adjusts the fluctuations of wind and solar power through uncertainty factors to establish a multi-energy overall balance model.
It enables efficient dispatching of thermal power, wind power, photovoltaic power and energy storage in large-scale power systems, reduces computational complexity, improves model flexibility and economy, reduces wind and solar curtailment, and optimizes the dispatching effect of power systems.
Smart Images
Figure CN120016445B_ABST