A Multi-objective Optimization Approach for Photovoltaic and Battery Sizing in an Off-Grid Power System
Authors:
- 1 June 2023
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 373-379
Abstract
In the capacity optimization for off-grid power systems, accurate modeling of photovoltaic (PV) and battery energy storage devices is crucial for achieving precise optimization results on the system level. On this point, this work presents a physical PV model chain, as well as a measurement-based capacity degradation model for lithium-ion batteries, to objectively reflect the irradiance-to-power conversion process of PV panels and the actual operating behavior of batteries. These refined models are then incorporated into a multi-objective optimization problem for an off-grid power system located in a cold-climate city, Harbin, China. The results of the case study indicate that conventional PV and battery modeling severely underestimate the investment cost of the system by up to 10.7% (or S1.46 million in monetary terms). What this suggests is that precise and reliable optimization results of the off-grid system can only be ensured if accurate and realistic PV and battery models are used.Keywords
This publication has 11 references indexed in Scilit:
- Review of “grey box” lifetime modeling for lithium-ion battery: Combining physics and data-driven methodsJournal of Energy Storage, 2022
- Operational reliability and economy evaluation of reusing retired batteries in composite power systemsInternational Journal of Energy Research, 2020
- A multi-objective and robust optimization approach for sizing and placement of PV and batteries in off-grid systems fully operated by diesel generators: An Indonesian case studyEnergy, 2018
- PVWatts Version 5 Manual2014
- Calendar aging of commercial graphite/LiFePO4 cell – Predicting capacity fade under time dependent storage conditionsJournal of Power Sources, 2014
- Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo methodJournal of Power Sources, 2011
- Erratum to “Improvement and validation of a model for photovoltaic array performance” [Solar Energy 80 (2006) 78–88]Solar Energy, 2007
- Solar position algorithm for solar radiation applicationsSolar Energy, 2004
- Computing the solar vectorSolar Energy, 2001
- Modeling daylight availability and irradiance components from direct and global irradianceSolar Energy, 1990