Comprehensive energy system optimization method based on hydrogen energy storage

Abstract

The invention relates to an integrated energy system optimization method based on hydrogen energy storage. The method comprises the following steps: S1, constructing a town integrated energy system composition unit model; s2, constructing an urban comprehensive energy model based on hydrogen energy storage; s3, collecting wind speed, illumination, environment temperature and other weather data under different typical days, user electricity, heat and hydrogen load data, power grid electricity charge, natural gas price, energy waste penalty coefficients and related performance parameters of equipment; s4, determining an objective function and an operation constraint condition; s5, establishing a particle swarm optimization function optimization model of the urban integrated energy system containing hydrogen energy storage through a Matlab platform; s6, providing three different scenes, and investigating the reliability and renewable energy consumption capability of the integrated energy system in the three different scenes; the system has the advantages that the utilization rate of renewable energy sources and the energy supply reliability are improved, and the environmental pollution generated during the operation period of the system is reduced.

Description

technical field [0001] The invention relates to the technical field of urban comprehensive energy, in particular to a method for optimizing a comprehensive energy system based on hydrogen energy storage. Background technique [0002] The integrated energy system is coupled with a variety of energy sources such as cold, heat, electricity, natural gas, and different types of equipment, which can meet the various load needs of users at the same time. At present, the modeling research on the system architecture of the integrated energy system and the single model of the traditional energy supply and energy storage equipment has been relatively mature. There is still much room for improvement in the study of network coupling characteristics. [0003] At present, the optimal capacity allocation for integrated energy systems is relatively mature, but most of the research only considers the system construction and operation cost, and does not list other key factors such as environm...

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Problems solved by technology

At present, the modeling research on the system architecture of the integrated energy system and the single model of traditional energy supply and energy storage equipment has been relatively mature. There is still a lot of room for improvement in the research of network coupling characteristics

[0003] At present, the optimal capacity allocation for integrated energy systems is relatively mature, but most studies only consider the cost of system construction and operation, and do not list other key factors such as environmental pollution, curtailment of wind and light, and reliability of energy supply as the goal of optimal capacity allocation. function, and the single optimization objective function also causes the planning results to be too ideal, and it is difficult to take into account different scenarios and different needs. The optimization of capacity allocation for multi-objective functions of integrated energy systems needs further exploration

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