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The Influence of Photovoltaic Models and Battery Models inSystem Simulation and Optimization
KTH, School of Chemical Science and Engineering (CHE), Chemical Engineering and Technology, Energy Processes.ORCID iD: 0000-0001-8271-7512
KTH, School of Chemical Science and Engineering (CHE), Chemical Engineering and Technology.
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2017 (English)In: Energy Procedia, ISSN 1876-6102, E-ISSN 1876-6102, Vol. 105C, 1185-1192 p.Article in journal (Refereed) In press
Abstract [en]

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.
Keyword [en]
phtovotaic, battery, optimizaiton, genetic algorithm
National Category
Energy Engineering
Research subject
Energy Technology
Identifiers
URN: urn:nbn:se:kth:diva-205207DOI: 10.1016/j.egypro.2017.03.409OAI: oai:DiVA.org:kth-205207DiVA: diva2:1087738
Note

QC 20170412

Available from: 2017-04-10 Created: 2017-04-10 Last updated: 2017-04-19Bibliographically approved
In thesis
1. Integration of Battery and Hydrogen Storage with a Grid-Connected Photovoltaic System in Buildings
Open this publication in new window or tab >>Integration of Battery and Hydrogen Storage with a Grid-Connected Photovoltaic System in Buildings
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

    The integration of Photovoltaic (PV) with buildings changes the previous electricity consumers into prosumers. The reduced PV subsidies and the grid stable operation requirements are pushing prosumers from direct exportation to self-consumption of the produced electricity. Electricity storage increases the self-consumption, while comes with higher investment. During the system planning stage, the benefits of storage should be clarified to prosumers. The storage type, the storage capacity and the system operation strategy should be determined at the same time.

    This thesis dealt with a grid-connected PV-storage system and proposed an optimization method, which simultaneously determined the storage capacity and rule-based operation strategy parameters. This method eliminated the necessity of forecasting and could be easily implemented. A typical residential building in Sweden was taken as a case study. Different operation strategies as well as two storage technologies – battery storage and hydrogen storage – were compared.

    For the battery storage system, the proposed battery hybrid operation strategy, which carries out the conventional operation strategy during warm months and the peak shaving strategy during cold months, provides the best performance in Self Sufficiency Ratio (SSR) and Net Present Value (NPV). For the hydrogen storage system, the hydrogen hybrid operation strategy outperforms other studied operation strategies under different scenarios, which have optimistic or pessimistic cost assumptions of the hydrogen storage system.

    The comparison between hydrogen storage and battery storage suggests that battery storage has much better performance in SSR and NPV under the pessimistic cost scenario. Under the optimistic cost scenario, battery storage and hydrogen storage achieve comparable performance in SSR and NPV. However, hydrogen storage is more favorable when considering reducing the prosumer’s negative impact on the grid.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2017. 43 p.
Series
TRITA-CHE-Report, ISSN 1654-1081 ; 2017:25
Keyword
Photovoltaic, Grid, Building, Battery, Hydrogen Storage, Operation Strategy, Optimization
National Category
Chemical Engineering
Research subject
Energy Technology
Identifiers
urn:nbn:se:kth:diva-205211 (URN)978-91-7729-355-2 (ISBN)
Presentation
2017-05-15, E36, KTH, Lindstedtsvägen 3, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20170412

Available from: 2017-04-12 Created: 2017-04-11 Last updated: 2017-04-12Bibliographically approved
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