Maximum Rooftop Photovoltaic Hosting Capacity with Harmonics as Limiting Factor – Case Study for Mauritius

Essackjee, Ismael Adam; King, Robert

doi:10.1109/icabcd.2019.8851002

Cited by 6 publications

(16 citation statements)

References 12 publications

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“…Profiles are assigned to all the dynamic components of the network and then load flow calculations are performed for the smallest time step available for the data set [19,[42][43][44]. The size, location or number of DERs is varied until one of the performance indices is violated [19,29,32,44]. The time series method is highly dependent on data where more data can reveal more information about the effects of DERs dynamics on the HC [19,44].…”

Section: Constant Generation Methodsmentioning

confidence: 99%

“…However, large amount of data can increase the computational time. Therefore, 24-hours profiles are generated based on average consumption and generation values [19,29], minimum consumption and maximum generation values [19] or some other criteria [32,43,44].…”

Section: Constant Generation Methodsmentioning

confidence: 99%

“…Most time series studies for calculating the HC have focused on PV technology since the output of PV systems varies greatly throughout the day [19,29,32,42,44]. Few studies have also used the time series method for the analysis of HC of wind turbines [43,45].…”

Section: Constant Generation Methodsmentioning

confidence: 99%

“…The PV systems' HC of a residential area in Mauritius was calculated in [32] with voltage harmonics as the limiting factor. Real load profiles and PV system generation data obtained from the area was used to determine the acceptable level of PV systems' integration.…”

Section: Constant Generation Methodsmentioning

confidence: 99%

“…Similarly to the study in [19], the authors in [32] determined the maximum rooftop PV HC of a residential area in Mauritius. The limiting factor in this study was system harmonics.…”

Section: Power Qualitymentioning

confidence: 99%

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A Review of the Tools and Methods for Distribution Networks’ Hosting Capacity Calculation

2020

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Integration of distributed energy resources (DERs) has numerous advantages as well as some disadvantages. To safely integrate DERs into a given distribution network and to maximize their benefits, it is important to thoroughly analyze the impact of DERs on that particular network. The maximum amount of DERs that a given distribution network can accommodate without causing technical problems or without requiring infrastructure modifications is defined as the hosting capacity (HC). In this work, a review of the recent literature regarding the HC is presented. The major limiting factors of HC are found to be voltage deviation, phase unbalance, thermal overload, power losses, power quality, installation location and protection devices’ miscoordination. The studies are found to employ one of four different methods for HC calculation: (i) deterministic, (ii) stochastic, (iii) optimization-based and (iv) streamlined. Commercially available tools for HC calculation are also presented. The review concludes that the choice of tools and methods for HC calculation depends on the data available and the type of study that is to be performed.

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Section: Constant Generation Methodsmentioning

confidence: 99%

Section: Constant Generation Methodsmentioning

confidence: 99%

Section: Constant Generation Methodsmentioning

confidence: 99%

Section: Constant Generation Methodsmentioning

confidence: 99%

“…Similarly to the study in [19], the authors in [32] determined the maximum rooftop PV HC of a residential area in Mauritius. The limiting factor in this study was system harmonics.…”

Section: Power Qualitymentioning

confidence: 99%

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A Review of the Tools and Methods for Distribution Networks’ Hosting Capacity Calculation

2020

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A Comprehensive Review of Renewables and Electric Vehicles Hosting Capacity in Active Distribution Networks

Zenhom,

Aleem,

Zobaa

et al. 2024

IEEE Access

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The excessive integration of renewable distributed generation (RDG) and electric vehicles (EVs) could be considered the two most problematic elements representing the greatest threat to the distribution network (DN) technical operation. In order to avoid going beyond technical limitations, the term hosting capacity (HC) was proposed to define the highest permitted amount of distributed generation (DG) or EVs that can be integrated safely into the DN. The connection of RDGs was first brought to the attention of researchers and DN operators since it accounts for the most notable portion of these technical issues. Hence, the phrase 'DG-HC' was initially proposed and evolved significantly over the last few years. Currently, EV integration in most DNs worldwide is still low, but given the worldwide support for clean transportation options, expectations are raised for a significant increase. As a result, it is anticipated that over the next years, the effect of EV integration on the DN will be highly noticeable, requiring greater attention from researchers and DN operators to define the accepted limits of EV penetration levels, 'EV-HC,' which is expected to pass along the same line of DG-HC. This article provides an in-depth review of both DG-HC and EV-HC. It first analyses how the DG-HC research has grown over the years and then studies the published EV-HC papers, illustrating to what extent there is a similarity between them and, finally, employs these analyses to expect future development in the EV-HC research area. This article includes the different uses of the term HC, the most common performance indices of DG-HC, the various methods for assessing DG-HC, the different techniques for DG-HC enhancement, the effects of integrating EVs on the DG-HC, and finally, calculating and enhancing methods for EV-HC.

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A Comprehensive Review on Recent Developments of Hosting Capacity Estimation and Optimization for Active Distribution Networks

Mousa,

Mahmoud,

Lehtonen

2024

IEEE Access

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Recently, several types of distributed energy resources (DERs) have been developed to reduce the environmental impact and support the global demand for electrical energy. However, the continuous penetration of the DERs into modern power systems (MPSs) may cause several adverse impacts in terms of operation performance indices (PIs) and power quality issues, especially in low-voltage distribution systems (LVDSs). To cope with these serious impacts and achieve optimal control, the hosting capacity (HC) of DERs must be accurately estimated and optimally optimized. However, it requires an extensive communication infrastructure, which is hardly offered without clear financial benefits. In this regard, this article investigates the historical developments of HC definitions as well as the recent developments in terms of operational performance indices, and estimation methods for active distribution networks (ADNs) with the highpenetration level existence of the DERs, energy storage systems (ESSs), electric vehicle (EV) charging systems, sector coupling, hydrogen technologies, and multi-carrier energy systems (MESs) to deal with electrical, thermal, and cooling demands. In this regard, this review article is intended to exhibit an appropriate reference for comprehensive research trends in HC estimation and optimization based on ADNs. Additionally, it involves and covers most current research HC topics in detail compared to other published review articles. Moreover, the authors deliberate the recent approaches for evaluating and improving the HC, especially concerning data-driven methods, with the aid of various software for simulating real systems. Moreover, modern research trends and main factors of MPS operations are deliberated with current energy market developments. Also, prominent challenges, current status, and future aspects are discussed.

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Maximum Rooftop Photovoltaic Hosting Capacity with Harmonics as Limiting Factor – Case Study for Mauritius

Cited by 6 publications

References 12 publications

A Review of the Tools and Methods for Distribution Networks’ Hosting Capacity Calculation

A Review of the Tools and Methods for Distribution Networks’ Hosting Capacity Calculation

A Comprehensive Review of Renewables and Electric Vehicles Hosting Capacity in Active Distribution Networks

A Comprehensive Review on Recent Developments of Hosting Capacity Estimation and Optimization for Active Distribution Networks

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