Large-scale integration of distributed generation into distribution networks: Study objectives, review of models and computational tools

Huda, Ahmed Samei; Živanović, Rastko

doi:10.1016/j.rser.2017.03.069

Cited by 93 publications

(24 citation statements)

References 178 publications

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“…This algorithm controls the Open Distribution System Simulator T M (OpenDSS) software package using a COM (Component Object Model) interface. The OpenDSS was selected due to: (1) its capacity of carrying out quasi-steady state simulations of distribution systems (making it suitable to study DG integration with distribution systems) [44]; (2) for being an software under an open source license [45], and; (3) it is used by Brazilian National Electricity Regulatory Agency (ANEEL) to model feeders and to calculate regulatory technical losses [46].…”

Section: ) Monte Carlo Algorithmmentioning

confidence: 99%

Statistical Analysis of Photovoltaic Distributed Generation Penetration Impacts on a Utility Containing Hundreds of Feeders

Stecanella

Vieira²,

Vasconcelos³

et al. 2020

IEEE Access

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Section: ) Monte Carlo Algorithmmentioning

confidence: 99%

Statistical Analysis of Photovoltaic Distributed Generation Penetration Impacts on a Utility Containing Hundreds of Feeders

Stecanella

Vieira²,

Vasconcelos³

et al. 2020

IEEE Access

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“…Some positive impacts can be reduction of power loss, improvement of voltage profile, and intensive use of transmission lines [1][2][3][4][5][6]. However, the intermittent power injection and the operating characteristics of inverters used in PV systems may cause a negative impact on a network, such as protection coordination failures, high losses in conductors, voltage fluctuations, harmonic distortion, and grid-side disturbances [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Impact Evaluation of Grid-Connected PV Systems on PQ Parameters by Comparative Analysis based on Inferential Statistics

et al. 2020

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The intermittent injection of power and the nature of power electronic devices used for photovoltaic (PV) systems can affect the power quality (PQ) of the grid to which they are connected. This study proposes to quantify and evaluate the impact of PV injection on the PQ of a low-voltage (LV) network by applying a statistical analysis through hypothesis testing for the mean comparison of populations of parameters with and without a PV system. The effects of PV power injection and load demand at the point of common coupling on PQ are monitored. The methodology includes the selection and monitoring of PQ, the use of a matrix for classification of data with similar load and PV power injection conditions, and the application of the Wilcoxon rank sum test. This methodology was applied to evaluate the impact of a 9.8 kWp PV system on the PQ of an LV network.

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“…Visual Basic (VB) is an object-oriented programming language of Microsoft widely used to design Graphical User Interfaces (GUI) executed in PC. Indeed, it has also been applied to implement monitoring systems for renewable energy-based facilities [16,20].…”

Section: Introductionmentioning

confidence: 99%

Using the open source library Libnodave for monitoring tasks in the Smart Grid scenario

Pérez¹,

González²,

Calero³

et al. 2020

XL Jornadas De Automática: Libro De Actas (Ferrol, 4-6 De Septiembre De 2019)

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Monitoring in the future intelligent power grids, called Smart Grids, is a critical task for the proper operation and surveillance of the infrastructure. On the other hand, open source systems are being progressively applied in R&D activities. This paper presents the utilization of the open source library Libnodave to communicate a programmable logic controller with a monitoring system through a TCP/IP network. The obtained results prove the feasibility of the proposal to be applied in the Smart Grids scenario.

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Large-scale integration of distributed generation into distribution networks: Study objectives, review of models and computational tools

Cited by 93 publications

References 178 publications

Statistical Analysis of Photovoltaic Distributed Generation Penetration Impacts on a Utility Containing Hundreds of Feeders

Statistical Analysis of Photovoltaic Distributed Generation Penetration Impacts on a Utility Containing Hundreds of Feeders

Impact Evaluation of Grid-Connected PV Systems on PQ Parameters by Comparative Analysis based on Inferential Statistics

Using the open source library Libnodave for monitoring tasks in the Smart Grid scenario

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