Research On The Shared Energy Storage Service Model And Optimization Strategy Considering Balancing And Regulating Demand

Under multiple energy strategies such as national energy security,clean energy transformation,"carbon peaking,carbon neutrality," and new power systems,China’s renewable energy has entered a new stage of high-quality leapfrog development.New energy sources such as wind and solar power have shown characteristics such as largescale,high proportion,and marketization,while industrial and commercial users have shown characteristics such as massive dispersion,weak load forecasting foundation,and marketization when fully entering the market.The randomness of supply and demand has had a profound impact on the operation of traditional power systems and the construction of power markets,and the demand for shared energy storage in power systems is increasing day by day.This article focuses on three key issues:difficulty in optimizing decision-making for electricity purchases in multiple markets for industrial and commercial users,limited consumption of high proportion of new energy,and high risk of deviation in electricity purchases and sales by multiple market entities.It combines multidisciplinary theories such as investment portfolio,source load interaction,and insurance economics with the pain points faced by various market entities in the construction of the electricity market under the new power system system,Exploring the power purchase optimization service,abandonment curve tracking service,and deviation mutual protection service models of shared energy storage for multiple market entities in the source load market,researching the optimization decision-making technology of shared energy storage service that takes into account prediction and decision-making,providing a theoretical and practical basis for the balance adjustment service of shared energy storage.(1)Starting from the continuous expansion of net load peak valley difference,high proportion of new energy strong volatility,and increased real-time balance deviation faced by the power system balance under the new power system,the service demand for shared energy storage in the system was analyzed.Considering the prediction decision-making process,shared energy storage was designed to provide electricity purchase optimization services for industrial and commercial users There are three shared energy storage business models that provide curve tracking services for new energy enterprises and deviation mutual protection services for multiple market trading entities.(2)Analyzed the conditions for industrial and commercial users to participate in multi market electricity purchase decisions such as annual,monthly,intra month,and spot transactions in the electricity market environment,summarized the electricity quantity and price prediction methods required by industrial and commercial users to participate in multi market electricity purchase,and proposed an improved prediction method based on trend extrapolation and factor identification based on existing research methods,We have established an optimization model for multi market electricity purchase for industrial and commercial users considering shared energy storage,and then constructed a pricing model for shared energy storage operators to provide electricity purchase optimization services,providing technical support for shared energy storage to provide electricity purchase optimization services and optimization operation strategies.(3)We have studied the optimization strategy for tracking the abandonment curve of new energy considering shared energy storage,explored new varieties of abandonment curve tracking transactions between shared energy storage and new energy,established a abandonment curve tracking transaction model considering the listing and delisting of new energy abandonment curves,deduced the transaction process between shared energy storage and new energy,and further established a new energy abandonment curve tracking optimization model considering shared energy storage,Provide model support for the participation of shared energy storage in the tracking and trading of new energy abandonment curves.(4)Researching the shared energy storage deviation mutual insurance service and pricing for multiple market entities,applying insurance economics theory to the electricity market,designing a shared energy storage deviation mutual insurance service model for multiple market entities,quantifying the probability of individual and group deviations in the shared energy storage deviation mutual insurance service,and constructing an optimization decision-making and pricing model for the shared energy storage deviation mutual insurance service,This provides a theoretical method to solve the problem of low accuracy in electricity prediction for multiple market entities and high assessment costs caused by large deviations in electricity purchase and sales transactions.Based on the research conclusions of this article and the analysis of current support policies,development plans,power market construction,and shared energy storage practices in the energy storage industry,suggestions are proposed to consider balancing and regulating services for shared energy storage related policies,market mechanisms,and operational management.The article elaborates on supporting new formats and models of shared energy storage,and improving supporting market mechanisms to ensure the implementation of shared energy storage business models,The significance of formulating market behavior norms for shared energy storage operators and their related stakeholders in energy storage development provides technical support and theoretical reference for providing diverse services to diversified market entities for shared energy storage.