Energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment

Abstract

The invention discloses an energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment. A process interface module is connected with a cold, heat and electricity triple supply subsystem and a load subsystem. The system comprises a demand forecasting module, a boundary analysis module, a constraint processing module, an optimizing module, a performance evaluation module, a knowledge processing module, a data storage module and the process interface module which are interconnected with a man-machine interface module. Through energy demand forecasting and related optimized calculation on the load system, the system finishes optimization and dispatch of energy yield of energy conversion equipment, can realize dynamic balance between the cold, heat and electricity supply and the demand, and fulfills the purposes of improving the utilization efficiency of energy, saving energy and reducing emission.

Description

technical field [0001] The invention relates to a combined cooling, heating and power supply system, in particular to an energy management optimization scheduling system for the combined cooling, heating and power supply system. Background technique [0002] The combined cooling, heating and power supply system is a system for distributed cooling, heating, and power supply of buildings or regional buildings. The main equipment of the system includes generator sets, waste heat utilization equipment, refrigeration, heating and other equipment. It adopts a small-scale, small-capacity, modularized, and decentralized way to arrange at the user end to provide users with cooling, heating, and electric energy. The combined cooling, heating, and power supply system can improve comprehensive energy utilization and power supply security, and realize on-demand supply. To provide users with more choices, distributed energy systems have become an important development direction of the glo...

AI Technical Summary

Problems solved by technology

Therefore, this optimal control method can only achieve the optimal operation status of each terminal equipment in the energy supply subsystem, but cannot achieve the optimal match between energy production and demand in the global energy network.

This search for local optimal control method not only implies the defect that the energy demand of the load subsystem cannot be met, but also may cause the energy supply to exceed the load demand, resulting in serious consequences of energy waste and low energy efficiency.

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