Economic optimization scheduling method for cold, heat and electricity combined supply type miniature energy grid

Abstract

The invention discloses an economic optimization scheduling method for a cold, heat and electricity combined supply type miniature energy grid. Various energy supply and energy storage devices in the cold, heat and electricity combined supply type miniature energy grid are analyzed, energy flow models of the devices are established, and a framework of the cold, heat and electricity combined supply type miniature energy grid is constructed based on energy exchange networks connected in a centralized mode; an economic optimization scheduling model of the cold, heat and electricity combined supply type miniature energy grid is established centered on the framework, and the model is solved with an interior point method based on Hessian matrix iteration according to the characteristics of the model. By scheduling the operation mode and output of all the energy supply devices in a smart grid park, economic optimization operation of the cold, heat and electricity combined supply type miniature energy grid is achieved. The energy optimization scheduling method is effective, practical and scientific, and application and popularization of energy conservation are promoted.

Description

technical field [0001] The invention relates to the technical field of electric power systems, in particular to an economically optimal scheduling method for a combined cooling, heating and power supply type micro-energy network. Background technique [0002] Under the new situation that the country is promoting energy production and consumption revolution, increasing energy conservation and emission reduction, and preventing and controlling smog, it has become the consensus of the government, enterprises and the public to improve energy utilization efficiency and reduce pollutant emissions. The CCHP (Combined Cooling Heating and Power) combined cooling, heating and power system includes three energy sources of cooling, heating and power. It uses Internet of Things technology and information technology to integrate and implement dispatching of all energy supply equipment in the region to achieve regional cooling, heating and power loads. Optimize energy supply and improve en...

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Problems solved by technology

However, when it subdivides the heat load into hot water load and air heat load, it does not subdivide the cooling load, and the energy storage medium of the cold storage device is generally chilled water. And using the cold storage device to control it will produce deviations in the optimization of the model

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