Research On Operation Optimization Of Regional Integrated Energy System Considering Shared Energy Storage

The severity of environmental pollution in China is gradually increasing with the increase in the scale of energy consumption.For this reason,the architecture of China’s energy system is increasingly shifting towards cleaner development,while also promoting the continuous transformation of the power grid to the energy internet.Promoting the construction of a regional comprehensive energy system is an indispensable link in the construction of the energy internet,and has important significance in optimizing energy utilization efficiency,improving the level of renewable energy consumption,and controlling environmental pollution levels.The installed capacity and power generation of renewable energy in China have continued to grow rapidly,and they have gradually achieved results in practical production applications.In order to promote the consumption of renewable energy and reduce the impact of a large number of renewable energy connected to the grid,energy storage will become an important and widespread resource in the future energy system.However,at present,the investment cost of battery based energy storage equipment is high,and the commercial services provided do not receive appropriate returns.Therefore,it is difficult to promote large-scale deployment of electric energy storage.However,with the development of the sharing economy,the "sharing concept" has begun to penetrate into the power grid,and domestic and foreign countries have begun to explore the service mode of shared energy storage.Based on this,this paper studies the optimization technology for the operation of regional integrated energy systems that take into account shared energy storage,which is conducive to promoting the transformation of China’s energy strategy,promoting the sustainable development of social energy,effectively reducing user construction costs,improving energy utilization efficiency,and improving the flexibility of energy systems.The research content of this article mainly includes the following aspects:Firstly,theoretical research on operational optimization of regional integrated energy systems considering shared energy storage.Firstly,analyze the concept and operation mode of shared energy storage,and analyze the current applications and functions of shared energy storage in integrated energy systems;Secondly,based on the basic characteristics of regional integrated energy systems,a typical structure of integrated energy systems that takes into account shared energy storage is constructed;Finally,the concept and types of game theory are studied,and the characteristic functions and allocation of cooperative games are analyzed,laying the foundation for establishing a multi energy entity benefit allocation model in the following article.Secondly,establish an operational optimization model for regional integrated energy systems that takes into account shared energy storage.Firstly,the physical model and equipment characteristics of energy production,conversion,and storage devices are studied;Secondly,operational optimization objectives are established for integrated energy systems and energy storage aggregators to minimize the operating costs of each entity;Thirdly,considering the system balance,energy storage frequency division,and the operating characteristics of the equipment itself,the constraints of the operation optimization model are analyzed;Finally,based on the traditional sparrow search algorithm,combined with Tent chaos and Gaussian mutation,an improved sparrow search algorithm is constructed.Thirdly,research the benefit allocation strategy of multiple energy entities considering shared energy storage.Firstly,a game scheduling strategy and cooperative game model for regional integrated energy systems based on shared energy storage are constructed;Secondly,considering the individual differences reflected in subject value labels such as risk sharing,resource investment,collaborative optimization,and environmental pollution,it provides an evaluation system for benefit allocation;Finally,based on the traditional Shapley value method allocation strategy,a modified Shapley value method benefit allocation model based on the cloud center method is constructed.Combining the entity value tag,the contribution and value of alliance entities are quantified and benefits are allocated.Fourth,three regional integrated energy systems in a certain region of eastern China were selected as the research object,and the simulation analysis of the operation optimization model of the regional integrated energy system considering shared energy storage built in this paper was conducted to verify the effectiveness of the model and solution algorithm.Firstly,the basic situation of the simulation object is explained in terms of wind and light resources,load demand,installed capacity of equipment,technical and economic parameters,and energy prices in the region;Secondly,in order to verify the progressiveness of the model built in this paper,two regional integrated energy system operation modes of energy storage independent operation and shared energy storage are set up from the perspective of energy storage scheduling mode.and simulation and comparative analysis are carried out;Thirdly,the simulation results under the two modes are analyzed and discussed from the perspectives of transaction price,power trading,and energy storage operation status,and the reasons for the differences in system operation economy under different modes are studied;Finally,based on the simulation object.the performance of different algorithms is compared and analyzed to verify the progressiveness of the algorithm proposed in this paper.