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A Case Study: Performance Comparison of Solar Power Generation between GridLAB-D and SAM in Dili Timor Leste

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Document pages: 22 pages

Abstract: Study of comparison of solar power generation between the GridLAB-D tooland System Advisor Model (SAM) in Dili, Timor Leste is presented in this paper.Weather Research and Forecasting (WRF) model is used to simulate solarradiation for one calendar year from January to December 2014 using six-hourlyinterval 1° × 1° NCEP FNL analysis data. The one calendar year results from theWRF model will be used as input data for GridLAB-D and SAM to estimate thesolar power generation. GridLAB-D is an open-source and analysis tool designedto operate the distribution power systems with a high-performance algorithm. System Advisor Model version SAM 2017.9.5 is used to estimate solar power performance with Photovoltaics (PVWatts)- Commercial Distributedmodel. This model is designed to analyze the performance and the financing ofrenewable energy for electricity generation. The results show the lowest solarradiation is 512 W m2 obtained in June with an average monthly power of 20.6 kW and 30.55 kW generated from the SAM model and the GridLAB-D simulator, respectively. Meanwhile, the highestsolar radiation is 1100 W m2, 1112 W m2, 1046 W m2,and 1077 W m2 obtained inOctober, November, December, and January with an average monthly power of 55.72 kW, 62.44 kW, 56.65 kW, and 56.97kW from the SAM model, in the other hand, 48.89 kW, 51.31 kW, 55.51 kW,and 57.18 kW generated by the GridLAB-D. Finally, the results show that theperformance of the GridLAB-D and the SAM model was quite good because bothmodel precisely presented values are almost closest to each other. This studyproposes that the results of solar output power from both methods, GridLAB-Dand SAM can be used to design grid-connected or stand-alone electric powerprojects to increase the quality of electricity generation in Dili, TimorLeste.

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