The Influence of Photovoltaic Models and Battery Models inSystem Simulation and Optimization
2017 (English)In: Energy Procedia, ISSN 1876-6102, E-ISSN 1876-6102, Vol. 105C, 1185-1192 p.Article in journal (Refereed) In press
Selecting accurate and robust models is important for simulation and optimization of a clean energysystem. This paper compares two photovoltaic (PV) models and two battery models in an open-sourcecode, Opti-CE. The PV models are single diode model and its simplified model. The battery models areImproved Shepherd model and energy balance model. The models are compared from a perspective ofoverall system simulation and optimization in particular on both accuracy and computational time. Theresults indicate that simplified PV model causes 0.86% normalized root mean square error (nRMSE)compared with the single diode model, while decreases the simulation time from more than 800s to lessthan 0.01s. The energy balance battery model reduces simulation time from more than 5s to less than0.03s. The energy balance model tends to underestimate the battery State of Charge (SOC) compared withthe Improved Shepherd model. However, the error is not accumulative during the simulation. Comparedto the Pareto front with single diode model and Improved Shepherd model, the simplified PV modelincreases the Pareto front values and result in both higher Self Sufficiency Ratio (SSR) and Net PresentValue (NPV), while the energy balance battery model decreases the part of Pareto front, whereindividuals have low NPV.
Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 105C, 1185-1192 p.
phtovotaic, battery, optimizaiton, genetic algorithm
Research subject Energy Technology
IdentifiersURN: urn:nbn:se:kth:diva-205207DOI: 10.1016/j.egypro.2017.03.409OAI: oai:DiVA.org:kth-205207DiVA: diva2:1087738
QC 201704122017-04-102017-04-102017-04-19Bibliographically approved