Robust allocation of residential solar photovoltaic systems paired with battery units in South Australia
Files
(Published version)
Date
2019
Authors
Aghamohamadi, M.
Mahmoudi, A.
Haque, M.H.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
2019 IEEE Energy Conversion Congress and Exposition (ECCE) proceedings, 2019, pp.6673-6679
Statement of Responsibility
Conference Name
2019 IEEE Energy Conversion Congress and Exposition (ECCE) (29 Sep 2019 - 3 Oct 2019 : Baltimore, MD, USA)
Abstract
A huge portion of solar photovoltaic (PV) systems is installed in residential sector, recently. Considering the uncertain nature of PV generation, battery units are coupled with these systems to provide a better performance when trading power with upstream network. Although, pairing PVs with battery units (PV-battery) provides a promising operation, the uncertainties of load and solar radiation poses a noticeable effect on optimal sizing of such systems. Therefore, an appropriate characterization of these uncertainties is essential when sizing residential PV-battery systems. This can assist decision makers to 1) optimally design their system from both economical and operational perspectives, and 2) avoid non-optimal sizing decisions, regarding the huge investment costs of these systems. This study presents a robust optimization (RO) approach for sizing residential PV-battery systems, characterizing the uncertainties of load and solar radiation. The proposed model determines the optimal capacity of a residential PV-battery system while minimizing its operation costs considering the uncertain parameters' variations. The RO model is developed as a max-min optimization problem. According to the obtained results, the proposed robust model gives a greater sizing solution (50% increase in PV capacity), which is more reliable when the uncertain parameters deviate from the forecasted values.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2019 IEEE
Access Condition Notes: Accepted manuscript available on Open Access