计及风电的动态无功优化解耦算法

针对风电场输出功率间歇性、随机性给电力系统动态无功优化决策带来的问题,依据风电功率波动的时间分布特性,在动态无功优化模型中引入场景对风电出力的不确定性进行描述,基于各场景下的灵敏度信息,提出一种离散变量与连续变量分步决策的解耦算法：首先对每个场景下各时段的静态无功优化问题进行求解,依据变压器、电容器动作对各静态优化结果影响的灵敏度信息及场景概率权重,决策其动作时机和档位,将模型解耦;然后依据离散控制变量决策结果,对同步发电机输出无功等连续的控制变量进行决策.通过对含风电场的实际系统算例进行计算和分析,验证了该方法对风电功率不确定性有良好的鲁棒性.

Decoupling Algorithm of Dynamic Reactive Power Optimization with Consideration of Wind Power

The intermittency and randomness of wind power brings difficulties to the decision-making of dynamic reactive power optimization.Based on the time-dependent characteristics of wind power fluctuations,the paper introduces the concept of scenario in the dynamic reactive optimization model to describe the uncertainty of wind power output,and proposes a decoupling algorithm based on sensitivity information.In the algorithm,the action time and position of capacitors and transformers are firstly determined according to their sensitivity information in every single time interval and wind farm scene.Based on the results of discrete variables,the whole model is decoupled in time and the continuous variables are then determined.Case study of 14-bus system show that the algorithm proposed in this paper is both reasonable and effective.