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Optimal PV-EV sizing at solar powered workplace charging stations with smart charging schemes considering self-consumption and self-sufficiency balance
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Civil and Industrial Engineering, Civil Engineering and Built Environment. (Built Environment Energy Systems Group)ORCID iD: 0000-0003-4191-3570
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Civil and Industrial Engineering, Civil Engineering and Built Environment. (Built Environment Energy Systems Group)ORCID iD: 0000-0001-6292-0695
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Civil and Industrial Engineering, Civil Engineering and Built Environment. (Built Environment Energy Systems Group)ORCID iD: 0000-0002-6031-2159
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Civil and Industrial Engineering, Civil Engineering and Built Environment. (Built Environment Energy Systems Group)ORCID iD: 0000-0003-0051-4098
2022 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 307, article id 118139Article in journal (Refereed) Published
Abstract [en]

The integration of photovoltaic (PV) systems and electric vehicles (EVs) in the built environment, including at workplaces, has increased significantly in the recent decade and has posed new technical challenges for the power system, such as increased peak loads and component overloading. Several studies show that improved matching between PV generation and EV load through both optimal sizing and operation of PV-EV systems can minimize these challenges. This paper presents an optimal PV-EV sizing framework for workplace solar powered charging stations considering load matching performances. The proposed optimal sizing framework in this study uses a novel score, called self-consumption-sufficiency balance (SCSB), which conveys the balance between self-consumption (SC) and self-sufficiency (SS), based on a similar principle as the F1-score in machine learning. A high SCSB score implies that the system is close to being self-sufficient without exporting or curtailing a large share of local production. The results show that the SCSB performance tends to be higher with a larger combined PV-EV size. In addition to presenting PV-EV optimal sizing at the workplace charging station, this study also assesses a potential SC and SS enhancement with optimal operation through smart charging schemes. The results show that smart charging schemes can significantly improve the load matching performances by up to 42.6 and 40.8 percentage points for SC and SS, respectively. The smart charging scheme will also shift the combined optimal PV-EV sizes. Due to its simplicity and universality, the optimal sizing based on SCSB score proposed in this study can be a benchmark for future studies on optimal sizing of PV-EV system, or distributed generation-load in general.

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 307, article id 118139
Keywords [en]
Photovoltaic systems, Electric vehicle charging, Workplace charging station, Optimal sizing, Smart charging, PV self-consumption
National Category
Infrastructure Engineering Energy Systems Energy Engineering
Research subject
Engineering Science with specialization in Civil Engineering and Built Environment
Identifiers
URN: urn:nbn:se:uu:diva-459125DOI: 10.1016/j.apenergy.2021.118139ISI: 000771039600002OAI: oai:DiVA.org:uu-459125DiVA, id: diva2:1612872
Projects
SweGRIDS FPS 26 - Smart charging strategies and optimal PV-EV sizing to increase the combined PV-EV hosting capacity in the distribution grid
Funder
Swedish Energy AgencySweGRIDS - Swedish Centre for Smart Grids and Energy Storage, FPS26StandUpAvailable from: 2021-11-19 Created: 2021-11-19 Last updated: 2023-04-07Bibliographically approved
In thesis
1. Synergy between Photovoltaic Power Generation and Electric Vehicle Charging in Urban Energy Systems: Optimization Models for Smart Charging and Vehicle-to-Grid
Open this publication in new window or tab >>Synergy between Photovoltaic Power Generation and Electric Vehicle Charging in Urban Energy Systems: Optimization Models for Smart Charging and Vehicle-to-Grid
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Cities are responsible for around 75% of global primary energy use and 70% of global greenhouse gas (GHG) emissions, with buildings and urban mobility being two key contributors. Actions to reduce GHG emissions have been promoted and implemented in many countries in the world. These include switching to electric vehicles (EVs) and renewable energy sources (RES), such as solar photovoltaics (PV). The transition has led to rapid increase in EV and PV adoption worldwide in the recent decades. However, large-scale integration of EVs and PV in urban energy systems poses new challenges such as increased peak loads, power mismatch, component overloading, and voltage violations. Improved synergy between EVs, PV and other loads can overcome these challenges. Coordinated charging of EVs, or so-called EV smart charging, is potentially a promising solution to improve the synergy. The synergy can be further enhanced with vehicle-to-grid (V2G) schemes, where an EV can not only charge, but also discharge power from its battery. 

This doctoral thesis investigates the synergy between EV charging and PV power generation with the application of EV smart charging and V2G schemes. The investigation was carried out through simulation studies on the system levels of residential buildings, workplaces, distribution grid, and city-scale. Smart charging and V2G optimization models with an objective to reduce the net-load (load minus generation) variability were developed and simulated. 

The results show that the PV-EV synergy can be improved with the proposed smart charging schemes. However, the levels of improvement depend highly on the user mobility behavior from and to the destined charging locations. PV-EV synergy is limited in residential buildings due to low EV occupancy during high solar power production, but has high potential at workplace charging stations due to high EV occupancy during the same time. In the case studies presented in this thesis, it was found that the implementation of smart charging can improve the synergy by up to around 9 percentage points in residential buildings and up to around 40 percentage points in workplaces. On a city-scale level, both optimal sizing and V2G play essential roles in improving city-scale generation-load synergy, as they can increase the load matching from 33% to 84%. The results also show that improved synergy leads to enhanced power grid performance and combined PV-EV grid hosting capacity.

In conclusion, the thesis demonstrates that EV smart charging schemes can improve PV-EV synergy, leading to enhanced performance of urban energy systems.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2023. p. 110
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 2260
Keywords
Electric Vehicles, Photovoltaics, Smart Charging, Vehicle-to-Grid, Urban Energy Systems, Load Matching, Self-Consumption, Optimization
National Category
Energy Systems Energy Engineering
Research subject
Engineering Science with specialization in Civil Engineering and Built Environment
Identifiers
urn:nbn:se:uu:diva-499947 (URN)978-91-513-1787-8 (ISBN)
Public defence
2023-06-02, Heinz-Otto Kreiss, Ångströmlaboratoriet, Lägerhyddsvägen 1, Uppsala, 13:15 (English)
Opponent
Supervisors
Funder
SOLVE
Available from: 2023-05-05 Created: 2023-04-07 Last updated: 2023-09-12

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Fachrizal, RezaShepero, MahmoudÅberg, MagnusMunkhammar, Joakim

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