Optimal configuration method of distributed combined cooling heating and power system

Abstract

The invention discloses an optimal configuration method of a distributed combined cooling heating and power system. The optimal configuration method of the distributed combined cooling heating and power system includes the following steps of establishing a digital model library of various energy utilization and conversion forms of the distributed combined cooling heating and power system, wherein the model library comprises a energy model, a cost model and a pollutant discharge model; establishing a feasible configuration scheme library according to load requirements, constraint conditions and combination screening strategy, setting total configuration schemes in the configuration scheme library as N; conducting annual hourly operation strategy optimizing to each configuration scheme in the configuration scheme library according to an annual load demand curve, until working out annual operation cost, annual once energy consumption and annual pollutant discharged quantity of an ith configuration scheme, wherein the i is greater than or equal to N; and selecting a scheme which is the minimum in annual operation cost, the minimum in energy consumption and the minimum in pollutant discharged quantity or a scheme which is arbitrarily combined the minimum annual operation cost, the minimum energy consumption and the minimum pollutant discharged quantity as the best configuration scheme.

Description

technical field [0001] The invention relates to the technical field of a distributed combined cooling, heating and power system, in particular to an optimal configuration method for a distributed combined cooling, heating and power system. Background technique [0002] The system configuration optimization of the distributed combined cooling, heating and power system is one of the key technologies to give full play to the advantages of high efficiency, energy saving and low carbon of the distributed combined cooling, heating and power system. The system configuration optimization of the existing distributed combined cooling, heating and power generation system adopts the method of artificial calculation for scheme comparison and selection, and artificially selects several alternative system configurations according to the system's cooling, heating, and electrical load requirements and other boundary conditions Then carry out systematic analysis and calculation on each scheme...

AI Technical Summary

Problems solved by technology

The main disadvantages of existing configuration optimization methods are:

[0003] (1) Due to the complex system and strong coupling of the combined cooling, heating and power system, artificially selecting several alternative system configuration schemes will lead to the failure of the optimal scheme to appear in the final scheme;

[0004] (2) Manual system analysis and calculation can only calculate one or several design conditions of the system, and cannot reflect the actual operating conditions of the system;

[0005] (3) Manual calculation and analysis for configuration optimization is time-consuming and laborious, and the optimization effect is poor

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