Probabilistic Energy Flow Calculation Method for Electric-Pneumatic Integrated Energy System Based on Stacked Noise Reduction Autoencoder

Abstract

The invention discloses a method for calculating the probabilistic energy flow of an electric-gas comprehensive energy system based on a stacked noise reduction automatic encoder. First, with the help of SDAE's deep stack structure and encoding and decoding process, an energy flow model based on SDAE is established to effectively mine the high-order characteristics of nonlinear energy flow equations. On this basis, combined with the numerical characteristics of energy flow input and output, a training method based on ReLU activation function, standardization of dispersion and small batch gradient descent method is proposed to improve training accuracy and speed. Then, combined with the MCS method, samples to be solved are sampled, and the energy flow values ​​of all sampled samples are directly mapped using the trained SDAE energy flow model, so as to realize high-precision online calculation of probabilistic energy flow without increasing hardware costs.

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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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 difficult to popularize and apply it in actual engineering. An online method of probabilistic energy flow based on SDAE and combined with MCS method is proposed , to provide technical support for the online application of probabilistic energy flow

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