Research On Optimization Of Energy Storage Behavior Of Microgrid In Smart Grid Environment

With the development of large-scale application of distributed new energy,due to the uncertainty and intermittent characteristics of distributed new energy.How to effectively apply these new energy to thousands of households through the microgrid has become an urgent problem for researchers to solve.Energy storage device is an important part of the widely used microgrid,which plays an important role in peaking and filling valleys,and can also be used to overcome the intermittent and fluctuating shortcomings of distributed new energy generation.Therefore,the study of energy storage technology and energy storage behavior optimization strategy in microgrid has important theoretical significance and social application value.At present,the research on the optimization of microgrid energy storage behavior is lack of transferable load characteristics and error analysis in load forecasting,and there are few studies on energy storage behavior in the composite environment based on the combination of multiple power market mechanisms.This paper will carry out the corresponding research work on the above two problems,the main research contents are as follows:(1)In the research of demand side management(DSM)of microgrid,in order to improve the accuracy of load forecasting and reduce the cost of load use,an error driven forecasting model is proposed in this paper.By analyzing the positive error,negative error and probability density estimation theory,the model can improve the accuracy of load forecasting without adding new feature space.(2)In this paper,a DSM method is proposed to evaluate the environment(DMEE)and two new DSM methods are proposed.The first method is to add the error-driven prediction model directly to the traditional DSM model.The second method is based on the concept of virtual energy storage to adjust the impact of prediction error on the operation of microgrid.(3)A set of integrated energy storage control model and optimization method for composite market architecture are proposed in this paper.This method can comprehensively consider all kinds of price fluctuations in the composite market,form an energy storage strategy to participate in multiple markets at the same time,and realize a more economical energy storage control strategy than the single market.The results show that according to the optimization method,we can find the cross-market arbitrage opportunities in the composite market,expand the benefits of energy storage for users,and the relevant regulators can also understand that the complex electricity market will bring cross-market collaborative trading behavior.