연구 분야: Infrastructure
학회: PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
The ant colony optimization (ACO) algorithm is applied to solve the economic operation problems in the plant-level automatic generation control (AGC) of hydropower stations. The built model comprehensively considers multiple safe operation constraints such as power balance, unit output constraints, spinning reserve and unit start-up and shutdown time constraints. Meanwhile, the economic load allocation formula derived based on the principle of equal micro-increase rate is embedded in the parallel random search mode to reduce the number of iterations during load allocation. The unit consumption characteristic curve in the experiment is fitted with a quadratic curve based on actual data. The simulation results show that the proposed method has both the randomness of intelligent algorithm search and the stability of traditional algorithms, with fast optimization speed and high accuracy.
| 발행 연도 | 2024년 |
|---|---|
| 인용수 | 0 |
| 출판 국가 | China |
| 사이트 | ACM |
| 좋아요 수 | 0 |