Optimal Dispatching Based On Flexible Resource Collaboration For Wind Power Locally Consumption

With the rapid development of China's economic during the past 30 years' reform and opening up,the total energy and electricity demand is growing huge,the traditional fossil energy-oriented energy supply system is facing resource exhaustion and environmental pollution and many other challenges.Therefore,the renewable energy revolution is in full swing in recent years,new energy power penetration is getting higher and higher,China is walking in the forefront of the world due to the rich of wind energy resources.However,due to the inherent uncertainty of wind power,the uncoordinated development of the power source-network,the lack of peak load shedding resources and many other constraints,the abandoned wind power is getting more and more with the rapid growth of wind turbine installed at the same time,lots of wind resources are wasted,the problem of wind power consumption has become the biggest challenge which needs to be solved urgently.Based on this background,this paper focuses on the problem of wind power consumption in the local area,considering the characteristics of the wind power itself and the flexible resources to improve the peak loading ability to optimize the system operation,specifically in three areas to carry out research:the wind prediction,as well as the demand response,heat-electric two types of flexible resources collaboration.The specific work is as follow:(1)The short-term wind speed combination forecasting method is studied to improve prediction accuracy.Based on the historical data of wind speed,the wind speed sequence is decomposed and reconstructed,and the different methods are determined for different sequences.The parameters of each method are optimized,and the independent prediction results of the decomposition sequence are superimposed to obtain the final prediction result.Case study on different time scales data verify the superiority of the method.(2)The scenario-based stochastic optimal scheduling with the coordination of demand response is studied to improve the capacity of wind power consumption.According to the randomness of wind power,the uncertainty description method of scenario generation and reduction of wind power is established.Based on the wind scenario,the stochastic optimal dispatching model with DR is constructed.Case study shows the effect of DR to promote wind power consumption.The comparison between the stochastic scheduling and the deterministic scheduling,the influence of the DR constraints are discussed.(3)The electro-thermal co-optimization considering decoupling to improve the capacity of wind power consumption is studied.Aiming to solve the practical problem of limiting the wind power to the power system due to the Electro-thermal coupling constraint in the 6"tlhree North" heating region of China,which is the most serious wind abandoned area in China,four kinds of electro-thermal decoupling schemes are studied,the joint optimization scheduling model of electricity-thermal system is constructed and a hybrid intelligent optimization method is proposed to solve the model.Case study verify the positive effect of decoupling schemes to promote wind power consumption,the different effect of the different decoupling schemes are analyzed and the configuration principles are discussed.