CCHP system scheduling evaluation method

An evaluation method and scheduling scheme technology, applied in photovoltaic power generation, wind power generation, single-network parallel feeding arrangement, etc., can solve problems such as slow convergence speed and poor global optimization ability

Inactive Publication Date: 2019-05-24
GUANGDONG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0010] In order to overcome the defects of slow convergence speed and poor global optimization ability described in the above-mentioned prior art, the present invention provides a CCHP system scheduling evaluation method

Method used

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  • CCHP system scheduling evaluation method
  • CCHP system scheduling evaluation method
  • CCHP system scheduling evaluation method

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Embodiment Construction

[0080] The accompanying drawings are for illustrative purposes only and cannot be construed as limiting the patent;

[0081] In order to better illustrate this embodiment, some parts in the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product;

[0082] For those skilled in the art, it is understandable that some well-known structures and descriptions thereof may be omitted in the drawings.

[0083] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0084] figure 1 S1 in S1 describes the process and method of data matrix construction; obtain the wind power output power data and solar photovoltaic output power data in the CCHP system from the historical and real-time data sets for many years, and construct the input matrix of the CCHP system through processing, calculation and analysis.

[0085]

[0086] where x ini1 、x ini2 、x ini3...

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Abstract

The invention relates to a CCHP system scheduling evaluation method. The method comprises the following steps: S1, obtaining wind power output power data and solar photovoltaic output power data in aCCHP system from a historical data set and a real-time data set, and constructing a CCHP system input matrix; acquiring cooling heating and power load data of the CCHP system, and constructing an output data matrix of the CCHP system; S2, processing the random variable wind speed, wind direction, illumination intensity and load; S3, constructing an energy scheduling model of the CCHP system; S4, calculating each target weight of the CCHP system; S5, load dynamic association rule mining. According to the invention, the method provided by the invention has better convergence capability, global optimization capability and practicability. The method has important significance for improving the energy utilization rate, increasing the production of renewable energy sources and reducing the emission of pollutants. The selection of an optimal scheduling scheme is beneficial to the optimal allocation of resources and the reduction of the total cost of the system.

Description

technical field [0001] The invention relates to the field of evaluation methods for combined cooling, heating and power systems, and more specifically, relates to a scheduling evaluation method for a CCHP system. Background technique [0002] In the 20th century, the technology of energy development and utilization has achieved unprecedented development. The energy mainly based on fossil fuels such as oil, coal, and natural gas has greatly promoted the progress and development of human society, but at the same time it has also caused huge impact and damage to the ecological environment; especially With the rapid growth of the global economy, people's demand for energy is increasing, and the reserves of fossil fuels, which are the main pillar of world energy, are becoming less and less, and the energy crisis is becoming more and more serious, which has become a shackle that hinders the further development of society; Under the new situation, the traditional energy structure c...

Claims

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Application Information

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IPC IPC(8): H02J3/46
CPCY02E10/56Y02E10/76
Inventor 王亚楠吴杰康
Owner GUANGDONG UNIV OF TECH
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