Energy storage and heat exchange optimization scheduling method

Abstract

The invention discloses an energy storage heat exchange optimization scheduling method, which comprises the following steps that: a cloud processing computing system detects a total heat energy absorption value in a current operation period in real time, and obtains the total heat energy absorption value in the current operation period; historical heat energy consumption values in the same operation period in the current season are detected, and calculating is conducted to obtain a historical heat energy consumption average value; the cloud processing computing system determines energy storage heat exchange optimization scheduling execution operation according to the relation proportion of the total heat energy absorption value and the historical heat energy consumption average value in the current operation period. According to the scheduling method, the relationship between the actual total heat energy absorption numerical value and the historical heat energy consumption average numerical value of the energy storage system is fully considered, intelligent management and control are achieved, and the long-term use reliability and safety of the system are guaranteed.

Description

technical field [0001] The invention relates to the field of intelligent energy storage control, in particular to an energy storage heat exchange optimization scheduling method. Background technique [0002] Solar energy is a kind of renewable energy, which refers to the thermal radiant energy of the sun, and the main manifestation is the often-called sun rays. With the decrease of fossil fuels, solar energy has become an important part of the energy used by human beings, and it has been continuously developed. There are two ways to utilize solar energy: photothermal conversion and photoelectric conversion. Solar power generation is an emerging renewable energy source. Solar energy in a broad sense also includes wind energy, chemical energy, and water energy on the earth. [0003] In spring, summer and autumn, the energy absorption system can absorb solar energy and convert it into heat energy, and store the heat energy through the energy storage system or the cross-season...

AI Technical Summary

Problems solved by technology

However, the study found that in the process of optimal configuration of energy storage and heat exchange, the existing technology of energy storage and heat exchange configuration control often does not have intelligent control, but directly converts and stores the remaining heat energy into the energy storage system, so as to realize specific heat transfer. Energy saving cannot be used as the control purpose during configuration, which eventually leads to the capacity of the energy storage system reaching its limit quickly, which affects the comprehensive energy control effect; at the same time, in addition to the local heat energy, the external energy-consuming units may also need heat energy supply, so The systems in the prior art cannot implement intelligent management and control for external energy consuming units and local energy storage systems

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