基于风电功率概率预测的无功优化方法研究

近年来,风电装机规模和并网比例不断增加,对电网的无功分布产生了较大影响。传统无功优化方法未考虑风电的随机性和波动性,无法在整个周期内保持良好优化效果。提出一种基于风电功率概率预测的无功优化方法,构建考虑风电功率概率预测的无功优化数学模型,并采用粒子群算法对模型进行求解,实际算例验证了所提模型方法的有效性。

Reactive Power Optimization Based on Probabilistic WindPower Forecasting

The wind power has a great influence on the reactive power distribution of power grid whose scale and network connection ratio have been increasing in recent years.The traditional reactive power optimization method does not take into acount the randomness and volatility of wind power and cannot maintain good optimization effect over the cycle.A reactive power optimization method based on probability prediction is proposed in this paper.A mathematical model of reactive power optimization considering the probability prediction of wind power is constructed.The model is solved using particle swarm optimization.The effectiveness of the proposed model is verified via a practical example.