多场景下含风电机组的配电网无功优化的研究

研究了多场景下含风电机组的配电网无功优化问题。利用概率统计的思想解决了风电机组有功输出的不确定性问题，根据转子侧最大电流限制条件确立了风电机组无功输出范围。结合传统的电容器无功补偿方法，将风电机组作为连续可调无功源参与到配电网的无功优化。建立了以系统网损最小和节点电压越限惩罚为目标的无功优化模型。算例表明不同场景下的风电机组参与配电网无功优化可有效地降低系统的网损，提高各节点电压，同时，增强配电系统受风速影响的适应性。

Reactive power optimization for distribution network with multi-scenario wind power generator

The reactive power optimization with wind power generator in multi-scenario is discussed. Through probability statistics method, the uncertainty problem of active power output is solved and reactive power output scope is obtained based on rotor side maximum current limitation. By integrating traditional capacitor reactive power compensation, the wind power generator takes part in the reactive power optimization as a continuous adjustable reactive source. Combining differential evolution algorithm and crossover-mutation operator, the bacterial colony chemotaxis algorithm is improved and the global optimization capability of algorithm is enhanced. The reactive power optimization model is built with the objective function of the minimum loss and out-of-limit voltage punishment. The result shows that reactive power optimization with wind power generator in different scenario can reduce the system loss, improve the voltage level, and enhance the adaptability of the power distribution system under the impact of wind speed.