Method and device for generating future grid evolution model of compressed air energy storage system

Abstract

The invention discloses a generation method of a future power grid evolving model of a compression air energy storage system and a generation device, wherein the method includes steps of collecting power grid data, and generating a transmission power distribution factor matrix and a power grid topological structure; modeling various power sources, energy storage devices and demand side managementthrough production simulation of multiple time sections; structuring a power grid growth evolving model through the sensitivity guiding. The method can improve the existed power grid evolving model, the compression air energy storage unit is added on the basis of considering about the high-proportional renewable energy source permeability; the power grid evolution is described and simulated betterunder the existed energy storage technology level, thus the generation of the future power grid evolving model is official and comprehensive, and can better meet the actual condition.

Description

technical field [0001] The invention relates to the technical field of new energy power generation systems, in particular to a method and device for generating a future power grid evolution model of a compressed air energy storage system. Background technique [0002] Energy storage technology is considered to be a technology that can compensate for the temporal and spatial uncertainty of clean energy, effectively alleviate the impact of renewable energy on the power grid, and improve the flexible adjustment capability of the power grid. The introduction of energy storage technology can reduce the requirements of clean energy access on the grid structure. CAES (Compressed Air Energy Storage, compressed air energy storage) system has outstanding advantages such as high energy density, high energy storage efficiency, low cost, and no geographical restrictions. It is considered to be one of the future energy storage technologies with great potential. Among them, advanced adiab...

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Problems solved by technology

[0004] However, most of the existing models only consider the consumption of new energy by pumped energy storage, and do not fully describe the existing energy storage technology, nor do they judge whether to curtail wind and light for renewable energy generation during operation internal logic

All of the above factors lead to the inability of the existing models to describe and simulate the evolution of the power grid under a high proportion of clean energy.

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