Theoretical Line Loss Calculation of Distribution Network Based on the Integrated Electricity and Line Loss Management System

Chen, Bojian; Xiang, Kangli; Li, Yang; Su, Qingmei; Huang, Daoshan; Huang, Tiao-Yuan

doi:10.1109/ciced.2018.8592309

Cited by 33 publications

(12 citation statements)

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“…Since the emergence of electric energy, wired transmission is still widely used in most cases due to its advantages of low cost and high reliability. However, the aging of lines, arcing, metal exposure, and other problems have an impact on safety, reliability, and service life [1][2][3][4]. Particularly in some multi-plug and high-current applications, the wired transmission still hides the inevitable hidden dangers.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Implementation of Inverter Wide-Range Soft Switching in WPT System Based on Class E Inverter

Zhang

Zhao

et al. 2020

Energies

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This article addresses the problem of hard switching caused by the change of equivalent load in a wireless power transfer (WPT) system based on a class E inverter. Based on the load-sensitive characteristics of the class E inverter, the coil structure is improved, and the self/mutual inductance compensation method of the transmitting coil is proposed to realize a wide range of soft switching. On the basis of fully considering the coupling relationship between the source and load coils, a coil structure with multiple coils in series on the primary side is proposed, and the cross-coupling relationship between the coils is analyzed in detail and simplified. The inverter parameters and coupling mechanism were adjusted by means of coil series reverse connection. Combined with the parameter influence law and the load equivalent principle of the class E inverter, the margin of soft switching at the inverter side was increased and the load offset correction was carried out. The soft-switching effect of the equivalent load from 0 to 3.3 times of ideal load was obtained, and the purpose of improving system reliability and efficiency was achieved. Finally, the feasibility and effectiveness of the proposed method were verified by simulation and experiment.

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Section: Introductionmentioning

confidence: 99%

Analysis and Implementation of Inverter Wide-Range Soft Switching in WPT System Based on Class E Inverter

Zhang

Zhao

et al. 2020

Energies

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“…This chapter is dedicated to the analysis of the PL of the electrical energy in the distribution grid for the voltage level of 22 kV that are caused by the transmission of electrical energy to the end consumers. The line loss rate is the main economic and technical indicator that comprehensively reflects the planning, design, production, operation, and management of the power grid [32]. Voltage drop and PL are caused by current flow during the electrical energy transmission from power plants to consumers via transmission and distribution lines.…”

Section: Analysis Of Power Losses In the Distribution Gridmentioning

confidence: 99%

The Influence of Power Quality Indices on Active Power Losses in a Local Distribution Grid

et al. 2019

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This paper deals with the topic of power quality in a local distribution grid. It is aimed to analyze the individual influences, which aggravate the power quality of the distribution grid. Based on the analysis, the most adverse effects were determined, and they were the voltage drops and supply voltage interruptions, supply voltage unbalance, load power factor, and also higher harmonics. These influences cause the technical losses in a distribution grid, which subsequently have a financial impact not only on the distribution, but also on the transmission of electricity. Only the load voltage unbalance, the load power factor, and the higher harmonics, which mainly cause the technical losses, were analyzed in this paper. The measurement of the influences of the adverse effects was performed on the model of a 22-kV distribution grid. The measurement was performed on the basis of three types of power line conductors and their different lengths, three types of active power consumption, and the different values of these adverse effects. According to this measurement, a simulation in program Matlab-Simulink was created. This simulation represented part of a 22-kV distribution grid, which was influenced by the abovementioned adverse effects. The results of the measurements were compared with the results of the simulation. Based on the evaluation of the technical losses from the measurement and the simulation, the financial losses during a certain period were calculated for the distribution system operators.

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“…On the one hand, it is a comprehensive response to the management level of the enterprise, and on the other hand, it is also directly related to the economic interests of the enterprise. In order to reduce the power loss of the power grid and promote the energy conservation and emission reduction of the power grid and the development of green power, the State Grid Corporation of China has built a "Line Loss Management Platform for the Same Period" to further improve the level of lean and information management of line losses [2].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Identification of the Line-Transformer Relationship in Distribution Networks Based on GAN Processing Unbalanced Data

et al. 2022

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The wrong line-transformer relationship is one of the main reasons that leads to the failure of the line loss assessment of the distribution network with voltage levels of 10 kV and below. The traditional manual method to verify the line-transformer relationship is time-consuming, labor-intensive and inefficient. At the same time, due to the small sample size of the data with abnormal line-transformer relationship, the unbalanced sample data reduces the accuracy of the artificial intelligence algorithm. To this end, this paper proposes an intelligent identification method for distribution network line-transformer relationship based on Generative Adversarial Networks (GAN) processing unbalanced data. Firstly, perform data preprocessing and feature extraction based on the input power of the distribution line and the power consumption of each distribution transformer; then, build a GAN-based model for expanding the data of only a small number of abnormal line-transformer relationship samples, so as to solve the problem of unbalanced sample data distribution; and finally, establish a support vector machine (SVM) to realize the classification of the line-transformer relationship. The results of the example simulation show that, compared with the traditional Synthetic Minority Oversampling Technique (SMOTE) for processing unbalanced data, the classification effect of the proposed GAN-based data augmentation method has been significantly improved. In addition, the recall rate of the three types of the line-transformer relationship (line hanging error, magnification error and normal) under the line-transformer relationship identification method proposed in this paper is more than 92%, which proves the effectiveness and feasibility of the method.

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Theoretical Line Loss Calculation of Distribution Network Based on the Integrated Electricity and Line Loss Management System

Cited by 33 publications

References 0 publications

Analysis and Implementation of Inverter Wide-Range Soft Switching in WPT System Based on Class E Inverter

Analysis and Implementation of Inverter Wide-Range Soft Switching in WPT System Based on Class E Inverter

The Influence of Power Quality Indices on Active Power Losses in a Local Distribution Grid

Intelligent Identification of the Line-Transformer Relationship in Distribution Networks Based on GAN Processing Unbalanced Data

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