Integrated electrical and natural-gas energy system probability energy flow calculation method based on stacked denoising autoencoder

A technology for noise reduction, automatic coding, and integrated energy system. It is applied in computing, instruments, resources, etc., and can solve the problems of long solution time, difficult popularization and application, and high computing cost.

Active Publication Date: 2018-11-02
CHONGQING UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that probabilistic energy flow needs to solve a large number of highly nonlinear equations, resulting in high calculation cost and long solution time, and it is diffic...

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  • Integrated electrical and natural-gas energy system probability energy flow calculation method based on stacked denoising autoencoder
  • Integrated electrical and natural-gas energy system probability energy flow calculation method based on stacked denoising autoencoder
  • Integrated electrical and natural-gas energy system probability energy flow calculation method based on stacked denoising autoencoder

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Embodiment Construction

[0067] The present invention will be further described below in conjunction with the examples, but it should not be understood that the scope of the subject of the present invention is limited to the following examples. Without departing from the above-mentioned technical ideas of the present invention, various replacements and changes made according to common technical knowledge and conventional means in this field shall be included in the protection scope of the present invention.

[0068] (1) Energy flow sample acquisition

[0069] In this example, the IEEE14-NGS10 electric-gas integrated energy system is used to illustrate the implementation plan, which is composed of an IEEE14 node power system and an NGS10 node natural gas system. Among them, the basic data of the power system can be found in the IEEE14 node standard system, and the basic data of natural gas can be found in the document (Yu Juan, Ma Mengnan, Guo Lin, Zhang Shuguo. Reliability Evaluation of Electric-Gas I...

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Abstract

The invention discloses an integrated electrical and natural-gas energy system probability energy flow calculation method based on a stacked denoising autoencoder. The method comprises the following steps that: firstly, by virtue of the deep stack structure and the coding and decoding process of an SDAE (Stacked Denoising Autoencoder), establishing an energy flow model based on the SDAE to effectively mine the high-order characteristics of a nonlinear energy flow equation; on the basis, combining with numerical value characteristics input and output by the energy flow to put forward a trainingmethod based on a ReLU activation function, deviation standardization normalization and a small-batch gradient descent method to improve training accuracy and speed; and then, combining with an MCS (Modulation and Coding Scheme) method to sample a sample to be solved, and using a trained SDAE energy flow model to directly map the energy flow values of all sampled samples so as to realize the high-accuracy online calculation of the probability energy flow on a premise that hardware cost is not increased.

Description

technical field [0001] The invention belongs to the field of comprehensive energy systems. Background technique [0002] In order to promote new energy consumption, improve energy utilization efficiency, and achieve energy conservation and emission reduction, vigorously developing Integrated Electrical and Natural-Gas Energy Systems (IENES) has become an important trend in the development of the energy field. IENES inherently operates in an uncertain environment. Electric-gas probabilistic energy flow analysis can take into account various uncertainties and coupling characteristics of electric power and natural gas systems, and obtain the probability characteristics of system state quantities, which is the basis for scientific analysis of IENES. In recent years, due to the increasing penetration of renewable energy sources such as photovoltaics and wind power, system uncertainty has surged. In order to meet the requirements of IENES operation scheduling, the demand for onl...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06N3/04
CPCG06Q10/0639G06Q50/06G06N3/048
Inventor 余娟杨燕杨知方向明旭任鹏凌
Owner CHONGQING UNIV
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