Research On Coordination And Optimal Scheduling Wind Integrated Power System Based On Conditional Value-at-Risk

In recent years,with the rapid development of China’s economy,it has led to the rapid improvement of people’s living standards,the total electricity consumption of the corresponding society is also increasing year by year,but the traditional fossil energy,such as coal and oil,is increasingly exhausted.Wind power generation with its clean environmental protection,renewable,wide distribution and other advantages in the proportion of the power system has been increasing year by year.However,the wind speed has a strong randomness,resulting in great fluctuation of wind power.Under the requirement of full wind power online,wind power grid connection is bound to bring great risks to the stable operation of the power system.Therefore,it is necessary to quantify the potential risks in the process of wind power grid connection,so as to provide reliable reference for power grid dispatchers and assist dispatchers in making decisions.In order to avoid the blindness of dispatching personnel decisions and the basis,based on the theory of conditional value at risk is proposed to measure the risk of wind power grid power deviation quantitative method,and the introduction of the source in the process of scheduling network coordination optimization operation concept,in each period were considered in the model system of wind power,the optimal output,system of optimal power flow,system integrated operation cost,risk factors,such as wind power grid,established a comprehensive system operation cost minimum power and wind power grid conditions risk comprehensive objective function is minimum deviation of multi-objective optimization scheduling model.Aiming at the problems of strong randomness of wind speed and inaccurate estimation of wind speed interval,the concept of definite integral summation is combined with the characteristics of wind speed distribution.The shortest confidence interval method is used to sum the probability density function of wind speed,which can quickly get the shortest confidence interval of wind speed at the set confidence level,and improve the estimation accuracy of the confidence interval of wind speed.Aiming at the nonlinear,strong coupling and multi-objective scheduling model,a new multi-objective compound backtracking search algorithm was designed.The algorithm introduced the concept of population segmentation strategy and tracking the evolution of dominant individuals into the backtracking search algorithm,solved the contradiction between the depth of optimization and the convergence speed,and improved the diversity of understanding.In order to verify the effectiveness of the calculation method of risk power deviation under wind power grid-connection conditions and the optimization scheduling model for coordinated operation of source networks as well as the efficiency of the algorithm proposed in this paper,the improved IEEE-30 node was taken as an example for simulation.The simulation results show that the designed multi-objective compound backtracking search algorithm can quickly obtain the optimal wind power planning output and the optimal power flow scheme under different confidence levels.The wind power grid-connection strategy obtained by using the method proposed in this paper can effectively evaluate the risks existing in the process of wind power grid-connection.