Optimization scheduling method for large-scale building CCHP (combined cold heat and power supply) system

A technology of combined cooling, heating and power supply and optimal scheduling, which is applied in data processing applications, energy industry, sustainable manufacturing/processing, etc., and can solve problems such as power supply shortages of power companies

Inactive Publication Date: 2017-12-12
NANJING UNIV OF SCI & TECH
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Problems solved by technology

The energy consumption of large-scale buildings usually covers three types of loads: cold, heat and electricity. According to the survey, usually about 50% of the electricity used by large public institutions comes from air-conditioning systems. As a result, power companies often There will be a shortage of power supply

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  • Optimization scheduling method for large-scale building CCHP (combined cold heat and power supply) system
  • Optimization scheduling method for large-scale building CCHP (combined cold heat and power supply) system
  • Optimization scheduling method for large-scale building CCHP (combined cold heat and power supply) system

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Embodiment

[0129] The specific idea of ​​this embodiment is to select the coupling configuration form of the large-scale building cogeneration system that needs to be optimized, such as figure 2 As shown in Fig. 1, the optimal scheduling model is established based on the equipment characteristic parameters and the target to be optimized; the summer day-ahead load forecast curve of a typical office building is used as the input of the model, as shown in image 3 As shown; combined with the local electricity price and natural gas price, based on the improved particle swarm optimization algorithm to solve the optimal scheduling model, the solution process is as follows Figure 4 shown. The specific implementation parameters of this embodiment are shown in Table 1 to Table 4 below. In the equivalent calculation between energy sources, the energy conversion coefficient of natural gas fuel low calorific value is taken as λ=9.77kW h / m 3 .

[0130] Table 1 Equipment parameters of large-scale ...

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Abstract

The invention proposes an optimization scheduling method for a large-scale building CCHP (combined cold heat and power supply) system. Through giving comprehensive consideration to the characteristics of a gas turbine, a gas boiler, an absorbing chiller and an electric refrigerating machine according to the characteristics of a cold load, a heat load and an electric load of a building and combining with the operation characteristics of a gas CCHP system, an optimization scheduling model for the large-scale building CCHP system is built, and an improved particle swarm algorithm is used for solving the optimization scheduling model to obtain an optimization scheduling capacity curve of former days, thereby promoting the optimization management of the large-scale building CCHP system. The method achieves the optimization calculation of the former scheduling of the large-scale building CCHP system, and achieves the optimal utilization of energy.

Description

technical field [0001] The invention belongs to the technical field of electric power dispatching, and in particular relates to an optimal dispatching method for a combined cooling, heating and power supply system of a large building. Background technique [0002] With the rapid development of productivity, the problem of energy shortage and environmental pollution has become increasingly prominent. How to improve energy efficiency and environmental protection has become a hot topic. The distributed combined cooling, heating and power system uses clean natural gas as the energy source and has low-emission environmental protection features. In addition, through the step-by-step utilization of energy of different qualities, the utilization efficiency of primary energy can be increased to 90%, which is an effective way to achieve energy efficiency improvement and emission reduction at the same time. [0003] In recent years, with the rapid development of large-scale buildings ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCY02P80/15G06Q10/04G06Q10/06312G06Q50/06
Inventor 陈鸿亮张俊芳解坤齐浩宇王惟怡
Owner NANJING UNIV OF SCI & TECH
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