Reactive Power Optimization With Multi-Wind Farms Based On Scenario Analysis

For traditional energy sources,wind power has randomness and volatility.Due to the uncontrollable nature of wind power,how to deal with the wind power randomness and volatility has become a hot research issue in power system planning and operation,especially for the power system reactive power/voltage control which is becoming a series of great challenges.Because of the impacts of wind power on power system operation are of complex nonlinearity,it is difficult for traditional wind power scenario model to ensure optimal operation of power system keeping consistent with wind power scenarios.Therefore,this paper will conduct the research from the following aspects:The wind power scenarios are divided into static scenario model and dynamic scenario model:Based on nonparametric kernel density estimation method and LHS method,static wind power scenarios are generated;Taking advantage of the wind power prediction error distribution and fluctuation of wind power distribution which are combined with the multivariate normal distribution,dynamic wind power scenarios are generated.Taking into account that it is difficult for K-means clustering method to determine cluster number,David-Bouldin Index(KDBI)is used to obtain optimal cluster number.Static scenario model produced by actual data of two wind farms in Australia is connected to IEEE 30 node system,and the proposed operation scenario analysis is conducted and compared with traditional wind power scenario analysis Taking into account of the operation efficiency of the scenario calculation time,based on power system sensitivity index,wind power static sensitivity scenarios are produced,and then it is accessed to the same system which is verified the validity of the model.For the dynamic scenario,it is different form the static scenario without the characters of time pertinence.Firstly,the optimal dynamic reactive power/voltage control variable vectors are obtained by dynamic reactive power/voltage operation optimization.Then,scenario reducing for the control variable vectors are performed to map out scenario reducing of wind power.Finally,based on IEEE 30-bus power system with practical data of two wind farms in Ireland,the proposed dynamic operation scenario model is verified with rationality and superiority.