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Triple co-generation multi-target optimizing method of CCHP (combined cooling heating and power) system

A multi-objective optimization and triple supply technology, applied in the field of multi-objective optimization, can solve the problems that cannot reflect the balanced relationship of various indicators, and achieve the effect of simplifying the model construction problem, good practicability, and short running time

Inactive Publication Date: 2014-03-26
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Claims
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AI Technical Summary

Problems solved by technology

The general solution to multi-objective optimization is to set the weights of different objectives, and then add and integrate each objective function into a single-objective optimization problem. Although such a solution is simple and easy to implement, it cannot reflect the relationship between various indicators well. balanced relationship

Method used

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  • Triple co-generation multi-target optimizing method of CCHP (combined cooling heating and power) system
  • Triple co-generation multi-target optimizing method of CCHP (combined cooling heating and power) system
  • Triple co-generation multi-target optimizing method of CCHP (combined cooling heating and power) system

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Experimental program
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Embodiment

[0090] Such as figure 2 Shown is a common CCHP system structure block diagram. The equipment that makes up the system in the figure includes micro gas turbine, waste heat boiler, auxiliary boiler, lithium bromide absorption refrigerator, electric refrigerator and external power grid GRID.

[0091] The role of the micro gas turbine is to produce electricity. Waste heat will be generated during the electricity production process, and the waste heat will be recovered by the waste heat boiler for secondary use. In the system, set the capacity of the micro gas turbine to Capacity_MP and set the waste heat generation rate to P_mp. Then the electrical load that the micro gas turbine itself can provide is Capacity_MP*(1-P_mp), and the waste heat recovered by the waste heat boiler is Capacity_MP*P_mp.

[0092] The waste heat boiler recovers the waste heat generated by the micro gas turbine in the process of producing electricity and provides heat to the user, part of which is directl...

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Abstract

The invention discloses a triple co-generation multi-target optimizing method of a CCHP (combined cooling heating and power) system. The method comprises the steps of establishing an annular energy consumption model, establishing an annual operation expense model and establishing a pollution emission model in a mathematic model manner, forming a multi-target function through the three mathematic models to be used as an adaptive value of the algorithm, solving by utilizing a random fish swarm algorithm to obtain device capacity data, and designing a device procurement scheme of the CCHP system according to each device capacity data. The method reflects the Pareto optimal principle, all targets of the triple co-generation of the CCHP system reach the optimal resource allocation, and various device procurement schemes can be provided for a decision maker.

Description

technical field [0001] The invention relates to the technical field of multi-objective optimization, in particular to a CCHP system triple supply multi-objective optimization method for solving the multi-objective optimization problem in the CCHP system based on the Pareto optimal theory. Background technique [0002] The energy utilization rate in the traditional production capacity mode is low, only about 40% of the energy utilization rate can be achieved, the original energy consumption is high, and the pollution emission is serious. [0003] The CCHP (Combined Cooling Heating and Power) system is also known as the combined cooling, heating and power system. The distributed combined cooling, heating and power system is a solution for the comprehensive cascade utilization of energy, and the total energy utilization rate can reach 75% to 90%. It uses small hydropower, biomass energy, wind energy, solar energy, geothermal energy, natural gas, garbage energy or industrial was...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 屈鸿钟云王晓斌刘贵松符明晟张马路
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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