PENGEMBANGAN SISTEM ENERGI TERBARUKAN: PENDEKATAN MULTIGENERATOR DAN SIMULASI ETAP

Agus Kiswantono
{"title":"PENGEMBANGAN SISTEM ENERGI TERBARUKAN: PENDEKATAN MULTIGENERATOR DAN SIMULASI ETAP","authors":"Agus Kiswantono","doi":"10.23960/jitet.v12i2.4147","DOIUrl":null,"url":null,"abstract":"This research focuses on the analysis of power flow in an electrical energy system involving 5 generators, with a nominal voltage of 345 KV, and a total power of 500 MW. Utilizing the ETAP simulation software, we evaluated the distribution of power, currents, and power factor across the entire system. The results of the analysis provide deep insights into the system's response to loads, power flow, and the efficiency of electrical power utilization. At the 345 KV voltage level, the simulation demonstrates the system's capability to maintain stability and power balance effectively. Power distribution and currents among generators provide a clear overview of the performance of the electrical network. Power factor analysis offers additional information regarding the efficiency of electrical power usage within the system. These findings serve as a crucial foundation for making informed decisions in managing and developing renewable energy infrastructure. In the era of transitioning towards more sustainable energy sources, a comprehensive understanding of power flow and system responsiveness to loads is essential to ensure the reliability and efficiency of the electrical power system","PeriodicalId":313205,"journal":{"name":"Jurnal Informatika dan Teknik Elektro Terapan","volume":"114 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Informatika dan Teknik Elektro Terapan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23960/jitet.v12i2.4147","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

This research focuses on the analysis of power flow in an electrical energy system involving 5 generators, with a nominal voltage of 345 KV, and a total power of 500 MW. Utilizing the ETAP simulation software, we evaluated the distribution of power, currents, and power factor across the entire system. The results of the analysis provide deep insights into the system's response to loads, power flow, and the efficiency of electrical power utilization. At the 345 KV voltage level, the simulation demonstrates the system's capability to maintain stability and power balance effectively. Power distribution and currents among generators provide a clear overview of the performance of the electrical network. Power factor analysis offers additional information regarding the efficiency of electrical power usage within the system. These findings serve as a crucial foundation for making informed decisions in managing and developing renewable energy infrastructure. In the era of transitioning towards more sustainable energy sources, a comprehensive understanding of power flow and system responsiveness to loads is essential to ensure the reliability and efficiency of the electrical power system
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
可再生能源系统开发:多发电机方法和 etap 仿真
本研究的重点是分析一个涉及 5 台发电机、额定电压为 345 千伏、总功率为 500 兆瓦的电能系统中的功率流。利用 ETAP 仿真软件,我们对整个系统的功率、电流和功率因数分布进行了评估。分析结果深入揭示了系统对负载、电力流和电力利用效率的响应。在 345 KV 电压等级下,模拟结果表明系统有能力有效保持稳定和功率平衡。发电机之间的功率分配和电流可以清楚地显示电网的性能。功率因数分析提供了有关系统内电力使用效率的更多信息。这些研究结果是在管理和开发可再生能源基础设施时做出明智决策的重要基础。在向更可持续的能源过渡的时代,全面了解电力流和系统对负载的响应对于确保电力系统的可靠性和效率至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
RANCANG BANGUN SISTEM PPDB ONLINE STUDI KASUS SMK MUHAMMADIYAH GAMPING MENGGUNAKAN METODE EXTREME PROGRAMMING VISUALISASI DATA PENYEBAB KEMATIAN DI INDONESIA RENTANG TAHUN 2000-2022 DENGAN POWER BI ANALISA DATA MINING DALAM MEMPREDIKSI MASYARAKAT KURANG MAMPU MENGGUNAKAN METODE K-NEAREST NEIGHBOR PERBANDINGAN ANALISIS SENTIMEN SETELAH PILPRES 2024 DI TWITTER MENGGUNAKAN ALGORITMA MACHINE LEARNING PERANCANGAN JARINGAN REDUNDANCY MENGGUNAKAN KONSEP ETHERCHANNEL DAN HSRP DENGAN INTERVLAN ROUTING PADA PLN UID JAKARTA RAYA
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1