Energy hub based on advanced adiabatic compressed air energy storage and pricing decision method

Abstract

The invention discloses an energy hub based on advanced adiabatic compressed air energy storage and a pricing decision method. The energy hub is composed of the advanced adiabatic compressed air energy storage, a heat pump, a solar heat collector, a high-temperature heat storage device, a low-temperature heat storage device and an air storage chamber. The method includes establishing an energy hub self-scheduling mathematical model by taking energy hub profit maximization as a target and considering internal operation constraints of the system; establishing an economic dispatching mathematical model of the power distribution company by taking the minimum operation cost of the power distribution company as a target; and establishing an economic dispatching mathematical model of the heating power company by taking the minimum operation cost of the heating power company as a target; establishing a double-layer game model according to a transaction mechanism that the energy hub participates in the electric-thermal integrated energy system; and finally, based on Nash equilibrium definition and pattern search, solving a double-layer game problem by adopting an iterative algorithm to obtain pricing equilibrium points of the electricity price and the heat price. Therefore, a pricing basis is provided for the energy hub to participate in the transaction of the electric-thermal integrated energy system.

Description

technical field [0001] The invention relates to an energy hub based on advanced adiabatic compressed air energy storage and a pricing decision method, belonging to the technical field of new energy. Background technique [0002] With the development of industry and economic growth, the peak-to-valley load difference of the power system is gradually increasing, and the anti-peak-shaving characteristics of new energy sources intensify the peak-shaving pressure of the power grid. Energy storage is one of the most flexible means to solve the peak shaving problem. Advanced Adiabatic Compressed Air Energy Storage (AA-CAES) is a large-scale physical energy storage technology with great development potential and application prospects. It has the advantages of large energy storage capacity, high efficiency, and no environmental pollution. Naturally, it has combined heat and power supply and storage capacity, and can be used as an energy conversion unit and comprehensive energy stora...

AI Technical Summary

Problems solved by technology

However, the existing technology does not involve the interaction between different systems in integrated energy, rarely considers the impact of energy hub operation status on economy, and the industry lacks energy hubs that consider the integrated load response of energy hubs and the inherent coupling and game of different operators Pricing Decision Methods

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