{"title":"Long-Term Reliability Impacts of a Power System with Climate Change Effects on Wind Farms","authors":"Abdullah Altamimi, D. Jayaweera","doi":"10.1109/ISGTEurope.2018.8571842","DOIUrl":null,"url":null,"abstract":"The Wind power generation is reliant on prevailing climatic conditions and can be vulnerable to climate changes in several ways. This paper investigates the reliability performances of a power system with climate change effects resulting through integrated wind farms. The study simulates wind farm models with ambient weather conditions. A long-term climate change model with different emission scenarios is simulated at the wind farms and then reliability performance of a power system is assessed using Monte Carlo Simulation (MCS). The study incorporates a comprehensive multi-model ensemble of EURO-CORDEX at high a resolution which scales down Global Circulation Model (GCM) and Regional Climate Model (RCM). The simulation results suggest that the wind generation integrated power system's reliability is particularly impacted by the changes in climatic conditions. This impact is conspicuous in RCP8.5 emissions scenario where an increase in expected energy not served (EENS) is prominent over the long run, whereas RCP4.5 emissions scenario is not significantly affected with EENS. RCP2.6 emissions scenario showed a negative behaviour from medium term to long term but the overall EENS is still less compared with RCP8.5 emissions scenarios. Case studies are presented considering a geographic location in Birmingham, UK.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGTEurope.2018.8571842","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The Wind power generation is reliant on prevailing climatic conditions and can be vulnerable to climate changes in several ways. This paper investigates the reliability performances of a power system with climate change effects resulting through integrated wind farms. The study simulates wind farm models with ambient weather conditions. A long-term climate change model with different emission scenarios is simulated at the wind farms and then reliability performance of a power system is assessed using Monte Carlo Simulation (MCS). The study incorporates a comprehensive multi-model ensemble of EURO-CORDEX at high a resolution which scales down Global Circulation Model (GCM) and Regional Climate Model (RCM). The simulation results suggest that the wind generation integrated power system's reliability is particularly impacted by the changes in climatic conditions. This impact is conspicuous in RCP8.5 emissions scenario where an increase in expected energy not served (EENS) is prominent over the long run, whereas RCP4.5 emissions scenario is not significantly affected with EENS. RCP2.6 emissions scenario showed a negative behaviour from medium term to long term but the overall EENS is still less compared with RCP8.5 emissions scenarios. Case studies are presented considering a geographic location in Birmingham, UK.
风力发电依赖于当时的气候条件,并且在几个方面容易受到气候变化的影响。本文研究了综合风电场对气候变化影响下电力系统的可靠性性能。该研究模拟了具有环境天气条件的风电场模型。利用蒙特卡罗仿真技术(Monte Carlo Simulation, MCS)对风电场的长期气候变化模型和不同排放情景进行了模拟,并对电力系统的可靠性性能进行了评估。本文采用EURO-CORDEX高分辨率综合多模式集合,缩小了全球环流模式(GCM)和区域气候模式(RCM)的尺度。仿真结果表明,气候条件的变化对风力发电综合发电系统的可靠性影响较大。这种影响在RCP8.5排放情景中非常明显,因为从长期来看,预期未服务能源(EENS)的增加是显著的,而RCP4.5排放情景则不受EENS的显著影响。从中期到长期来看,RCP2.6排放情景表现为负面行为,但与RCP8.5排放情景相比,整体EENS仍较低。案例研究提出考虑在伯明翰,英国的地理位置。