Study On Grid Optimal Scheduling And Distribution Network Planning Considering Distributed Generation And Demand Response

Under the new situation of power system reform and large-scale integration of renewable energy,the renewable energy and demand-side resources should be comprehensively considered in the operation and planning of traditional grid.The integration and optimization of various resources will help to improve the economy and reliability of the system as well as meet the needs of developing renewable energy resources and improving the environment.Based on the integration of large-scale renewable energy generation,this paper focuses on three related issues:the renewable energy power generation forecasting,the operational dispatch and the coordinated planning methods of renewable energy power system considering demand response.(1)Take the photovoltaic power generation system as an example to study the forecast method of renewable energy generation.Aiming at the limitation of generalization ability of traditional shallow structure learning method,this paper presents a photovoltaic output prediction model based on wavelet transform and depth belief network considering similar moments.Wavelet decomposition helps to avoid learning all the components of original data in one model simultaneously.The unsupervised learning process of deep learning algorithm can make the parameters of the network avoid falling into the local optimum.Selecting the similar moments helps refine the processing of meteorological factors and improve the prediction accuracy.(2)A multi-objective optimal dispatch model is established for renewable energy integrated power system considering demand response.The real time price,interruptible load with low price and with high compensation are included in this model.Furthermore,the interruptible load with low price(ILL)is divided into two forms according to the role of it:peak load regulation and load reserve.Taking deterministic costs and risk costs into account by analyzing the probability distribution of wind power prediction error,the objective function is then established by minimizing the sum of economic and environmental costs.The results show that demand response can attenuate the influence of wind power fluctuations on the system and it is beneficial to further classify ILL for improving the economic efficiency of system.Including multi-type reserve in the system can guarantee the reliability of the system while improving the economy of the system.(3)By referring to the idea of coordination and optimization of multi-type resources in optimization scheduling,a comprehensive planning model of system integrated with renewable energy considering demand response based on scenario analysis is established.The multi-scenario analysis method is used to describe the uncertainty of load and renewable energy generation.At the same time,paying attention to the extreme scenes is helpful to ensure the safe and stable operation of the system.The objective function is to minimize the sum of investment cost,operating cost and environmental cost.The results show that by coordinating optimization of demand-side resources and renewable energy sources,comprehensive resource planning is conducive to slowing down the expansion of the power grid,reducing the peak and valley difference of load curve and improving the economic and environmental benefits of the system.