| The development of new energy has brought great changes to the power system.To build a clean,low-carbon,safe and efficient energy system,ensuring the main position of new energy in the future power system is an inevitable choice to achieve the development of a new power system.Due to the volatility and randomness of new energy,low resistance and weak support of power generation equipment,it brings three major challenges to the power system:efficient consumption,safe operation and mechanism system,to meet these challenges,energy storage is an indispensable role.Based on the background of new power system transformation,this paper faces the problems of increasing external regulation cost of the system,increasing demand for energy storage,and difficulties in energy storage investment recovery caused by the continuous penetration of high proportion of new energy,and starts from the power generation side to guide the shared energy storage to provide balancing service for new energy sites to obtain revenue,and reasonably extends the shared energy storage revenue model.This paper firstly introduces the basic concept,operation mode and pricing mechanism of shared energy storage,analyzes the advantages of economic characteristics of shared energy storage over traditional energy storage mode,lists its typical application scenarios,and analyzes that under the deep integration of sharing economy and power system,shared energy storage releases more dividends for users and may become one of the new form characteristics of new power system.After that,this paper constructs a balancing mechanism under the participation of shared energy storage,introducing shared energy storage to provide balancing service for new energy field stations,by establishing a new energy cluster structure,so that each field station forms a deviation complementary to reduce capacity demand,and shared energy storage makes up for the deviation solution on this basis.Under this mechanism,shared energy storage can appropriately oversell balancing services,dynamically adjust the capacity allocation boundary to each new energy field station,reduce excess capacity,and improve the utilization efficiency of energy storage.This paper also takes smart contracts as the research object,introduces smart contracts as a solution for mutual trust in trading,describes the operation mechanism and infrastructure of smart contracts,and designs the trading process of balancing trading mechanism.Finally,this paper constructs an optimal scheduling strategy for shared energy storage under the equilibrium mechanism,builds a master-slave game model for shared energy storage and new energy clusters,analyzes the composition of the model,clarifies the basic solution characteristics of the model,and selects a particle swarm algorithm to solve the model.The example analysis compares the economics of each new energy field station operating independently,each new energy field station calling shared energy storage service independently and each new energy field station purchasing balancing service,and verifies the effectiveness of the balancing mechanism constructed in this paper.At the same time,different scenarios were set up for simulation to analyze the revenue of new energy stations under different strategies and the revenue of shared energy storage operators under different oversales,providing optimized trading strategies for new energy stations and optimized operation strategies for shared energy storage operators. |
