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dc.contributorDepartment of Electrical and Electronic Engineeringen_US
dc.contributor.advisorBu, Siqi (EEE)en_US
dc.creatorWang, Dingzhengyang-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/14522-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic Universityen_US
dc.rightsAll rights reserveden_US
dc.titleProbabilistic power flow analysis of active distribution networksen_US
dcterms.abstractDue to the global depletion of fossil fuels and growing public awareness of environmental protection, Distributed Generation (DG) has become an important direction in the development of electric power systems. DG mainly consists of small, clean power generation systems with power ranging from a few kilowatts to 50MW, and the output of these DGs is uncertain when they are connected to the grid, unlike the output of conventional thermal power generators, which is stable. The output of these DGs is uncertain when they are actually connected to the grid, unlike the output of traditional thermal generators, which is stable. In addition, the asymmetry of the distribution system is becoming more and more serious due to the presence of asymmetrical loads such as electric locomotives, large arc furnaces, and non-full-phase distribution lines in modern distribution networks. Therefore, in order to analyse and study the asymmetry and uncertainty of the distribution network currents, it is necessary to study the three-phase current algorithms with more accurate calculation results. In this paper, the three-phase mathematical models of power components and DGs in distribution networks are described, several distribution network power flow algorithms are analysed, and several algorithms for calculating uncertainty are introduced. The main research contents of this paper are as follows.en_US
dcterms.abstractStudy of three-phase asymmetrical distribution network power element modelling. A three-phase asymmetric model of distribution lines, transformers and loads for calculating three-phase asymmetric currents in distribution networks is investigated. Due to the asymmetry of distribution networks, the three-phase parameters of distribution lines and loads will become asymmetric again. Because of the asymmetry of the distribution network, the three-phase parameters of distribution lines and loads will become unsymmetrical.en_US
dcterms.abstractDG and energy storage device modelling study. To evaluate the effects of DG and energy storage devices on three-phase asymmetric currents in distribution networks, the output characteristics of the main DG and energy storage devices are studied, with reactive constant PQ-type nodes, current constant PI-type nodes, and voltage constant PV-type nodes, and then the three-phase asymmetric currents algorithm of distribution networks is established using the substitution of each node type into the distribution network.en_US
dcterms.abstractResearch on three-phase asymmetric current algorithms for distribution networks. In calculating the three-phase asymmetric currents in distribution networks, Newton Raphson is used to calculate the radial asymmetric distribution networks, and the Newton Raphson algorithm has fast convergence speed and high reliability in calculating the three-phase asymmetric distribution networks.en_US
dcterms.abstractInvestigation of the three-phase asymmetric power flow method for unknown distribution networks. The DG and energy storage devices and loads in the distribution network have certain uncertainties, and this paper introduces a Monte Carlo algorithm to establish a three-phase asymmetric tidal flow algorithm based on uncertainty. By analysing the examples, it can be seen that in a three-phase asymmetrical distribution network, the voltage level of the low-voltage side of the distribution network can be improved through rational planning of accessing DGs and energy storage devices, which can reduce the asymmetry of the distribution network and the three-phase voltage imbalance degree.en_US
dcterms.extentx, 86 pages : color illustrationsen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2023en_US
dcterms.educationalLevelM.Sc.en_US
dcterms.educationalLevelAll Masteren_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/14522