{"title":"Comparative Study for PV Power Stabilization Technology using Matlab Simulink","authors":"I. Garniwa, M. Kuncoro, Rudi Darussalam","doi":"10.1109/MoRSE48060.2019.8998693","DOIUrl":null,"url":null,"abstract":"Nowadays the global utilization of solar energy for electricity generation has greatly increased. But the amount is still very small compared to the other existing potentials. The classic issue in the utilization of solar energy is intermittent solar energy and power fluctuations. The power of the PV is not fixed, unpredictable and dependent on natural factors, namely irradiation, temperature and the influence of shadows. Several methods have been proposed to overcome intermittent energy and fluctuations in PV power including the Hybrid PV Generators, Power Curtailment, Geographical Dispersed, and Electrical Storage methods. Each method has characteristics in its application. Hybrid PV generators are relatively easy to apply but they are expensive and cause greenhouse gases. Power Curtailment is easy to apply but it is inefficient because a lot of energy is wasted. Geographical Dispersed requires large land. Electrical storage requires a large energy storage capacity. To overcome this, a new method is proposed, namely Dynamic Power Injection which is a combination of MPPT, Power Curtailment, and Electrical Storage. A comparative study with simulation using Simulink Matlab against 3 methods of PV power stabilization was conducted. The simulation results show that the DPI method is the most effective and efficient way to increase the stability of PV power.","PeriodicalId":111606,"journal":{"name":"2019 International Conference on Mechatronics, Robotics and Systems Engineering (MoRSE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Mechatronics, Robotics and Systems Engineering (MoRSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MoRSE48060.2019.8998693","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Nowadays the global utilization of solar energy for electricity generation has greatly increased. But the amount is still very small compared to the other existing potentials. The classic issue in the utilization of solar energy is intermittent solar energy and power fluctuations. The power of the PV is not fixed, unpredictable and dependent on natural factors, namely irradiation, temperature and the influence of shadows. Several methods have been proposed to overcome intermittent energy and fluctuations in PV power including the Hybrid PV Generators, Power Curtailment, Geographical Dispersed, and Electrical Storage methods. Each method has characteristics in its application. Hybrid PV generators are relatively easy to apply but they are expensive and cause greenhouse gases. Power Curtailment is easy to apply but it is inefficient because a lot of energy is wasted. Geographical Dispersed requires large land. Electrical storage requires a large energy storage capacity. To overcome this, a new method is proposed, namely Dynamic Power Injection which is a combination of MPPT, Power Curtailment, and Electrical Storage. A comparative study with simulation using Simulink Matlab against 3 methods of PV power stabilization was conducted. The simulation results show that the DPI method is the most effective and efficient way to increase the stability of PV power.