Generator start-stop scheduling optimization method based on particle swarm algorithm
Heran KANG , Tianwen ZHANG , Jingshu XING , Qidi HUO , Wenbo HU , Qing WANG , Wenman GAO
Water Resources and Hydropower Engineering ›› 2025, Vol. 56 ›› Issue (S1) : 436 -440.
In order to solve the problem of difficulty in adapting to renewable energy and rapid load changes in generator start-stop scheduling, a generator start-stop optimization scheduling model with economic benefits as the goal and system safety and stability as the constraint is proposed on the basis of commonly used scheduling schemes. Besides, the particle swarm algorithm is introduced to linearize the model to reduce the required solving time and improve the solving efficiency. The proposed method was simulated and verified by IEEE-30 node system under the condition that the system hot standby ratio was 60%, respectively. The proposed generator start-stop scheduling optimization method has high accuracy and efficiency. Compared with the current generator start-stop scheduling method, the method proposed has an error of less than 5% and can save more than 50% of calculation time.
particle swarm arithmetic / generator start-stop sequence / tide optimization scheduling / dc power flow calculation / operating costs
/
| 〈 |
|
〉 |
PDF
(5129KB)
