A review of hosting capacity quantification methods for photovoltaics in low-voltage distribution grids

E Mulenga, MHJ Bollen, N Etherden - … Journal of Electrical Power & Energy …, 2020 - Elsevier
A literature review is presented in this paper of the methods for quantifying the solar PV
hosting capacity of low-voltage distribution grids. Three fundamentally different methods are …

Innovative approaches for assessing and enhancing the hosting capacity of PV-rich distribution networks: An Australian perspective

A Rajabi, S Elphick, J David, A Pors… - … and Sustainable Energy …, 2022 - Elsevier
The rapid increase in the deployment of residential PV systems has caused various
concerns for electricity network service providers in accommodating higher amounts of PV …

Improved photovoltaic self-consumption in residential buildings with distributed and centralized smart charging of electric vehicles

R Fachrizal, J Munkhammar - Energies, 2020 - mdpi.com
The integration of photovoltaic (PV) and electric vehicle (EV) charging in residential
buildings has increased in recent years. At high latitudes, both pose new challenges to the …

[HTML][HTML] Transforming a residential building cluster into electricity prosumers in Sweden: Optimal design of a coupled PV-heat pump-thermal storage-electric vehicle …

P Huang, M Lovati, X Zhang, C Bales, S Hallbeck… - Applied Energy, 2019 - Elsevier
Smart grid is triggering the transformation of traditional electricity consumers into electricity
prosumers. This paper reports a case study of transforming an existing residential cluster in …

[HTML][HTML] An alternative optimal strategy for stochastic model predictive control of a residential battery energy management system with solar photovoltaic

D Van der Meer, GC Wang, J Munkhammar - Applied Energy, 2021 - Elsevier
Scenario-based stochastic model predictive control traditionally considers the optimal
strategy to be the expectation of the optimal strategies across all scenarios. However, while …

[HTML][HTML] Urban-scale energy matching optimization with smart EV charging and V2G in a net-zero energy city powered by wind and solar energy

R Fachrizal, K Qian, O Lindberg, M Shepero, R Adam… - ETransportation, 2024 - Elsevier
Renewable energy and electric vehicles (EVs) are crucial technologies for achieving
sustainable cities. However, intermittent power generation from renewable energy sources …

Analysis of large-scale energy retrofit of residential buildings and their impact on the electricity grid using a validated UBEM

F Johari, O Lindberg, UH Ramadhani, F Shadram… - Applied Energy, 2024 - Elsevier
To evaluate the effects of different energy retrofit scenarios on the residential building sector,
in this study, an urban building energy model (UBEM) was developed from open data …

Enhancing urban energy storage and optimization through advanced EV charging and vehicle-to-grid integration in a renewable-based zero-energy city

Y Zhang, Q Zhang, B Zhang - Process Safety and Environmental Protection, 2024 - Elsevier
The variable natures of renewable power sources and the additional demand from EV
(electric vehicle)-charging present unique challenges to electrical grids. This paper explores …

[HTML][HTML] An open data-based model for generating a synthetic low-voltage grid to estimate hosting capacity

T Lundblad, M Taljegard, N Mattsson… - … Energy, Grids and …, 2024 - Elsevier
This study develops and applies an open data-based reference electricity grid analysis
(REGAL) model designed to create a synthetic representation of a low-voltage (LV) grid for a …

Optimizing energy consumption considering residential solar panels generation and battery storage in smart homes

J Autuori, T Arbaoui, Y Ouazene, F Yalaoui - Journal of Energy Storage, 2024 - Elsevier
This paper presents an optimization approach for achieving partial autonomy in residential
electricity consumption and production through the integration of photovoltaic systems with a …