Energy consumption optimization method for integrated energy system

Abstract

The invention discloses an energy consumption optimization method for an integrated energy system, which comprises the following steps of: performing annual load simulation on an energy-consuming building by adopting a heat balance method to obtain hourly load in a preset time period; in consideration of operation modes and power characteristics of various devices, establishing a reliable mathematical model of each device, and performing coupling connection of energy transmission on a simulation platform; formulating an equipment operation control strategy based on the load distribution characteristics and the equipment performance obtained in the previous two steps, and analyzing main influence parameters of system energy efficiency; and defining an optimization parameter variable, establishing a target function running in a preset time period, and connecting an optimization platform to carry out system parameter optimization. According to the energy consumption optimization method of the integrated energy system, each main device is modularized, energy is transmitted between modules, calculation is carried out in the modules, setting of constraint conditions of the composite energy system is simplified, specific parameter optimization of a single device in a complex system can be carried out, and a reference is provided for development of an energy digital technology.

Description

technical field [0001] The invention relates to the field of comprehensive energy, in particular to a method for optimizing energy consumption of a comprehensive energy system. Background technique [0002] With the rapid development of renewable energy and Internet technology, the coupling between various energy sources has been further enhanced. The new Internet technology represented by the Internet of Things, big data, and cloud computing has provided a comprehensive solution for the energy flow and information flow between a large number of energy nodes and information nodes. Two-way flow provides the possibility to establish an energy-saving model that is compatible with economic, energy, and environmental development goals, and can effectively optimize building energy consumption. [0003] However, the research on the integrated energy system focuses on the power system, and there are relatively few studies on the heating subsystem with different time scales. Input a...

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Problems solved by technology

It solves the problem of large errors in pure digital simulation caused by the large fluctuation and randomness of renewable energy and the large number of building load uncertainties, making the optimization results more realistic and more suitable for practical applications, which is conducive to improving the accuracy of system simulation. Credibility of authenticity and economic evaluation

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