大型风电场内机组的有功功率优化方法研究

摘要

In order to make full use of the wind energy, improve the utilization rate of wind energy and the output characteristics of wind farm, predicts in advance on the basis of the super short-term for wind speed and power, builds multi-objective power optimized model for the wind generators, optimizes active power output of the wind farm, and using particle swarm optimization algorithm solve and simulate the optimized model. The simulation results show that the optimization method upgrades the whole output power of the wind farm, simultaneously reduces its operation cost.%为充分利用风能、提高风能利用率，改善风电场的功率输出特性，基于风速和功率的超短期提前一步预测，建立多目标的风力发电机组功率优化模型，对风电场输出的有功功率优化，并采用粒子群优化算法对优化模型进行求解和仿真分析，仿真结果表明：该优化方法使风电场整体输出功率得以提高，同时也减小了风电场的运行成本。