基于降低风电场损耗的风电场优化调度研究

RESEARCH OF WIND FARM OPTIMAL SCHEDULING BASED ON REDUCING WIND FARM LOSSES

提出基于降低风电场损耗损的风电场优化调度模型。以风电机组关键部件总机械损伤量和风电场内集电系统网损最小为目标,结合风电场功率预测数据和负荷调度要求,建立机组优化调度的数学模型;应用粒子群优化算法和萤火虫优化算法求解非线性规划,寻找全局最优解。以华北某风电场为例进行测试,结果表明在满足负荷的要求下,有效减少启停机次数,降低部件损伤值,延长机组寿命,提高风电场运行的安全性、经济性。

The optimal scheduling model of wind farm based on reducing wind farm losses is proposed. The goal is to minimize the total mechanical damage of the key components for the wind turbine and the network loss of the electricity collecting system in the wind farm. The mathematical model of optimal scheduling for unit is set up combining wind power forecast data and load scheduling requirement of wind farm. The particle swarm optimization algorithm and the glowworm optimization algorithm are used to solve nonlinear programming and find the global optimal solution. The certain wind farm in the northern China is as example to carry testing, the results show that under meeting the load requirements, the number of start-stop times of wind turbines and the damage value of components can be effectively reduced, the life of the unit can be extended, and the safety and economy of wind farm operation can be improved.