Impact of rapid PV fluctuations on power quality in the low-voltage grid and mitigation strategies using electric vehicles

Brinkel, Nico; Gerritsma, M.K.; AlSkaif, Tarek; Lampropoulos, Ioannis; Voorden, A.M. van; Fidder, Henk

doi:10.1016/j.ijepes.2019.105741

Cited by 118 publications

(58 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As charging of EVs typically occurs at the LV distribution grid, the electrification of passenger vehicles poses various challenges and opportunities for the electricity grid in the built environment. In case of uncontrolled charging, the EV-charging demand peaks typically coincide with household electricity demand peaks, which can lead to congestion problems, high capacity reinforcement investment needs, less efficient power supply, and can affect power quality [32][33][34][35]. Smart charging can address this by delaying charging to off-peak hours, while taking the EV owner's driving requirements into account.…”

Section: Electric Vehicle (Ev) Technologymentioning

confidence: 99%

Review of Energy in the Built Environment

et al. 2020

View full text Add to dashboard Cite

Urban environments can be key to sustainable energy in terms of driving innovation and action. Urban areas are responsible for a significant part of energy use and associated greenhouse gas emissions. The share of greenhouse gas emissions is likely to increase as global urban populations increase. As over half of the human population will live in cities in the near future, the management of energy supply and demand in urban environments will become essential. Developments such as the transformation of the electricity grid from a centralised to a decentralised system as well as the electrification of the transportation and heating systems in buildings will transform the urban energy landscape. Efficient heating systems, sustainable energy technologies, and electric vehicles will be critical to decarbonise cities. An overview of emerging technologies and concepts in the built environment is provided in this literature review on the basis of four main areas, namely, energy demand, supply, storage, and integration aspects. The Netherlands is used as a case study for demonstrating evidence-based results and feasibility of innovative urban energy solutions, as well as supportive policies.

show abstract

Section: Electric Vehicle (Ev) Technologymentioning

confidence: 99%

Review of Energy in the Built Environment

et al. 2020

View full text Add to dashboard Cite

show abstract

“…e authors proposed a model that considers the uncertainty of solar power generation and stochastic assessment methods that could accurately estimate the state of the operation of the network with different levels of penetration of solar photovoltaics. In [11], the authors estimate the impact of rapid PV output fluctuations on the power quality in an existing LV grid by performing load flow analyses.…”

Section: Introductionmentioning

confidence: 99%

Grid Impact Assessment of Centralized and Decentralized Photovoltaic-Based Distribution Generation: A Case Study of Power Distribution Network with High Renewable Energy Penetration

Khatib

Sabri

2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

This paper presents a grid impact assessment of a 5 MWp photovoltaic-based distribution unit on a 33 kV/23 MVA power distribution network with high penetration of renewable energy generation. The adapted network has an average load demand of 23 MVA, with a 3 MWp centralized PV system, and a number of decentralized PV systems of a capacity of 2 MWp. A grid impact assessment is done to an additional 5 MWp of PV generation as a centralized system as well as a number of decentralized systems. Power flow analysis is conducted to the grid considering different generation loading scenarios in order to study grid performance including active and reactive power flow, voltage profiles, distribution power transformers loading, transmission lines ampacity levels, and active and reactive power losses. On the other hand, the distribution of the decentralized systems is done optimally considering power distribution transformer loading and available area using the geographical information system. Finally, an economic analysis is done for both cases. Results showed that grid performance is better considering decentralized PV systems, whereas the active power losses are reduced by 13.43% and the reactive power losses are reduced by 14.48%. Moreover, the voltage of buses improved as compared to the centralized system. However, the decentralized PV systems were found to affect the power quality negatively more than the centralized system. As for the economic analysis, the decentralized PV system option is found slightly less profitable than the centralized system, whereas the simple payback period is 9 and 7 years, respectively. However, decentralized PV systems are recommended considering the technical implications of the centralized PV system.

show abstract

“…of which could enable energy suppliers to better understand their customers' energy consumption behavior [3]. It could also provide invaluable insights for grid operators about grid status in real time and enable advanced power management solutions [4].…”

Section: Introductionmentioning

confidence: 99%

A Clustering Framework for Residential Electric Demand Profiles

Jain

AlSkaif

Dev

2020

2020 International Conference on Smart Energy Systems and Technologies (SEST)

View full text Add to dashboard Cite

The availability of residential electric demand profiles data, enabled by the large-scale deployment of smart metering infrastructure, has made it possible to perform more accurate analysis of electricity consumption patterns. This paper analyses the electric demand profiles of individual households located in the city Amsterdam, the Netherlands. A comprehensive clustering framework is defined to classify households based on their electricity consumption pattern. This framework consists of two main steps, namely a dimensionality reduction step of input electricity consumption data, followed by an unsupervised clustering algorithm of the reduced subspace. While any algorithm, which has been used in the literature for the aforementioned clustering task, can be used for the corresponding step, the more important question is to deduce which particular combination of algorithms is the best for a given dataset and a clustering task. This question is addressed in this paper by proposing a novel objective validation strategy, whose recommendations are then cross-verified by performing subjective validation.

show abstract

Impact of rapid PV fluctuations on power quality in the low-voltage grid and mitigation strategies using electric vehicles

Cited by 118 publications

References 37 publications

Review of Energy in the Built Environment

Review of Energy in the Built Environment

Grid Impact Assessment of Centralized and Decentralized Photovoltaic-Based Distribution Generation: A Case Study of Power Distribution Network with High Renewable Energy Penetration

A Clustering Framework for Residential Electric Demand Profiles

Contact Info

Product

Resources

About