Research on calculation of low voltage distribution network theoretical line loss based on matpower

Shengyan, Shi; Xiaoliu, Shen; Gu, Yawei

doi:10.1109/apap.2011.6180516

Cited by 9 publications

(4 citation statements)

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“…For example, in the UK, electricity suppliers assume two high-level Elexon groupings for domestic customers; Standard and Economy 7 [12,13]. Much recent research has focused on creating typical household profiles by clustering customers' demand based on smart meter data [14,15,16], also see references within [17]. A variety of techniques and methods have been employed to create such clusters including Gaussian Processes [18], Gaussian Mixture models [19], k-means and self-organising maps [20], k-mediods [21] and principle component analysis [22].…”

Section: Introductionmentioning

confidence: 99%

A genetic algorithm approach for modelling low voltage network demands

Giasemidis¹,

Haben

Lee

et al. 2017

Applied Energy

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Distribution network operators (DNOs) are increasingly concerned about the impact of low carbon technologies on the low voltage (LV) networks. More advanced metering infrastructures provide numerous opportunities for more accurate load flow analysis of the LV networks. However, such data may not be readily available for DNOs and in any case is likely to be expensive. Modelling tools are required which can provide realistic, yet accurate, load profiles as input for a network modelling tool, without needing access to large amounts of monitored customer data. In this paper we outline some simple methods for accurately modelling a large number of unmonitored residential customers at the LV level. We do this by a process we call buddying, which models unmonitored customers by assigning them load profiles from a limited sample of monitored customers who have smart meters. Hence the presented method requires access to only a relatively small amount of domestic customers' data. The method is efficiently optimised using a genetic algorithm to minimise a weighted cost function between matching the substation data and the individual mean daily demands. Hence we can show the effectiveness of substation monitoring in LV network modelling. Using real LV network modelling, we show that our methods perform significantly better than a comparative Monte Carlo approach, and provide a description of the peak demand behaviour.

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Section: Introductionmentioning

confidence: 99%

A genetic algorithm approach for modelling low voltage network demands

Giasemidis¹,

Haben

Lee

et al. 2017

Applied Energy

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“…In AC systems, the standardized definition such as IEC 61000-4-30/4-15, IEEE1159/1549 and EN50160 are used to manage the power quality. The indices for the major PQ by the afore-mentioned standard can be categorized as transient, interruption, sag/under-voltage, swell/overvoltage, distortion, voltage fluctuation, and frequency variation [4]. In general, some PQ measurement parameters used in the AC distribution network are still required even in the LVDC distribution network although some other parameters are only related to AC systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Voltage Protection and Harmonics Cancellation in Low Voltage Distribution Network

Bijwar¹

2018

IJNPME

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Nowadays low voltage distribution network is considered as worldwide future generation distribution network. But the major concern is harmonics generation and steps taken to cancel those harmonics. In our proposed work, low voltage distribution network is designed with low voltage and harmonics are cancelled in our method. The combination of current control unit and voltage control unit will give extra reliable power solution to increase the required capacity of low voltage grids. The high voltage protection gears are used in worst environment for low voltage and low current distribution network test is preferable to assess a variety of operation uniqueness. Therefore, it has few restrictions in implementation of economic in addition to process methodologies. In our work a 48V direct current base up-scale low voltage distribution network test is urbanized to allow the copy and surveillance of a variety of phenomenon of direct current distribution networks. The proposed system provide stretchy pattern ability by introduce S-connectors and T-connectors module that will be proscribed distantly, and near real time monitor function through by means of a data acquisition system associated toward the nodes. Each connector be able to calculate Power, Voltage and current with up to 250 kHz frequency. To calculate power quality and to understand the performance of the distribution network, frequency analysis is required along with collected data.

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“…Também há um método para utilização em sistemas em corrente contínua (c.c. ), embora haja na literatura poucas aplicações desse método para otimização e gerenciamento dos recursos energéticos distribuídos [5][6][7][8].…”

Section: Desenvolvimentounclassified

Otimização Energética De Um Sistema Elétrico Isolado

Silveira¹,

Brandão²,

Filho³

et al. 2018

ABM Proceedings

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ResumoEsse estudo consideraa conexão de usinas solarese um banco de baterias em um sistema elétrico isolado com o objetivo de reduzir o uso de geradores diesel existentes. Um algoritmo de otimização é utilizado para coordenar o gerenciamento dos recursos energéticos considerando a melhor solução de operação que minimiza os custos de operação do sistema em diversos cenários. Foram avaliados cenários de suprimento de energia através de geradores diesel puramente.Em seguida foi avaliada a inclusão de umausina solar, e em posteriormente a inclusão do armazenamento de energia por banco de baterias. Os resultados demonstraram que o banco de baterias viabiliza o uso da energia fotovoltaica existente, além de otimizar o uso dos geradores térmicos com a operação de apenas uma máquina diesel.

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Research on calculation of low voltage distribution network theoretical line loss based on matpower

Cited by 9 publications

References 0 publications

A genetic algorithm approach for modelling low voltage network demands

A genetic algorithm approach for modelling low voltage network demands

Voltage Protection and Harmonics Cancellation in Low Voltage Distribution Network

Otimização Energética De Um Sistema Elétrico Isolado

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