An approach to implement photovoltaic self-consumption and ramp-rate control algorithm with a vanadium redox flow battery day-to-day forecast charging. (June 2022)
- Record Type:
- Journal Article
- Title:
- An approach to implement photovoltaic self-consumption and ramp-rate control algorithm with a vanadium redox flow battery day-to-day forecast charging. (June 2022)
- Main Title:
- An approach to implement photovoltaic self-consumption and ramp-rate control algorithm with a vanadium redox flow battery day-to-day forecast charging
- Authors:
- Foles, Ana
Fialho, Luís
Collares-Pereira, Manuel
Horta, Pedro - Abstract:
- Abstract: The variability of the solar resource is mainly caused by cloud passing, causing rapid power fluctuations on the output of photovoltaic (PV) systems. The fluctuations can negatively impact the electric grid, and smoothing techniques can be used as attempts to correct it. However, the integration of a PV+VRFB to deal with the extreme power ramps at a building scale is underexplored in the literature, as well as its effectiveness in combination with other energy management strategies (EMSs). This work is focused on using a VRFB to control the power output of the PV installation, maintaining the ramp rate within a non-violation limit and within a battery state of charge (SOC) range, appropriate to perform the ramp rate management. Based on the model simulation, energy key-performance indicators (KPI) are studied, and validation in real-time is carried. Three EMSs are simulated: a self-consumption maximization (SCM), and SCM with ramp rate control (SCM+RR), and this last strategy includes a night battery charging based on a day ahead weather forecast (SCM+RR+WF). Results show a battery SOC management control is essential to apply these EMSs on VRFB, and the online weather forecast proves to be efficient in real-time application. SCM+RR+WF is a robust approach to manage PV+VRFB systems in wintertime (studied application), and high PV penetration building areas make it a feasible approach. Over the studied week, the strategy successfully controlled 100% of the violatingAbstract: The variability of the solar resource is mainly caused by cloud passing, causing rapid power fluctuations on the output of photovoltaic (PV) systems. The fluctuations can negatively impact the electric grid, and smoothing techniques can be used as attempts to correct it. However, the integration of a PV+VRFB to deal with the extreme power ramps at a building scale is underexplored in the literature, as well as its effectiveness in combination with other energy management strategies (EMSs). This work is focused on using a VRFB to control the power output of the PV installation, maintaining the ramp rate within a non-violation limit and within a battery state of charge (SOC) range, appropriate to perform the ramp rate management. Based on the model simulation, energy key-performance indicators (KPI) are studied, and validation in real-time is carried. Three EMSs are simulated: a self-consumption maximization (SCM), and SCM with ramp rate control (SCM+RR), and this last strategy includes a night battery charging based on a day ahead weather forecast (SCM+RR+WF). Results show a battery SOC management control is essential to apply these EMSs on VRFB, and the online weather forecast proves to be efficient in real-time application. SCM+RR+WF is a robust approach to manage PV+VRFB systems in wintertime (studied application), and high PV penetration building areas make it a feasible approach. Over the studied week, the strategy successfully controlled 100% of the violating power ramps, also obtaining a self-consumption ratio (SCR) of 59% and a grid-relief factor (GRF) of 61%. Highlights: Use of a VRFB to deal with a consequence of high PV penetration into the grid. Application of a weather forecast for battery SOC management under PV fluctuations. Demonstration of 100% of the ramps control, preserving the PV SCR. SCM+RR+WF has proven to be an excellent approach to follow in the wintertime. … (more)
- Is Part Of:
- Sustainable energy, grids and networks. Volume 30(2022)
- Journal:
- Sustainable energy, grids and networks
- Issue:
- Volume 30(2022)
- Issue Display:
- Volume 30, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 30
- Issue:
- 2022
- Issue Sort Value:
- 2022-0030-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-06
- Subjects:
- Photovoltaic solar energy -- Energy storage -- Self-consumption -- Ramp rate -- VRFB -- Energy management strategies
Renewable energy sources -- Periodicals
Smart power grids -- Periodicals
Electric power systems -- Periodicals
333.794 - Journal URLs:
- http://www.sciencedirect.com/science/journal/23524677/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.segan.2022.100626 ↗
- Languages:
- English
- ISSNs:
- 2352-4677
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
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