{"title":"海岛社区可持续混合可再生能源管理系统:基于多种能源优化和基于优先级设置的监督控制和数据采集操作的混合优化模型方法","authors":"Iftekhar Ahmed, Md. Abdur Razzak, Feroz Ahmed","doi":"10.1049/stg2.12192","DOIUrl":null,"url":null,"abstract":"<p>This paper explores sustainable energy management strategies for a remote community on the Island of Bhashanchar in the Bay of Bengal, designated by the Government of Bangladesh to host Rohingya refugee camps. The island lacks utility-scale power infrastructure, relying primarily on rooftop solar systems. Addressing the challenge of efficient energy utilization, the study analyses the Bhashanchar Community System's energy dynamics, load demand, and renewable energy integration feasibility. The primary objective is to design an optimised hybrid microgrid system to balance energy supply and demand, reducing blackout risks. A Supervisory Control and Data Acquisition based load management system is introduced for real-time energy distribution, enhancing reliability. The proposed off-grid hybrid microgrid system includes solar PV, wind, diesel, biomass, wind turbine, tidal turbine, and battery storage. It incorporates priority setting mechanisms to categorise energy sources by reliability, availability, and environmental impact, ensuring consistent, reliable, and sustainable energy supply. The study demonstrates that the proposed system can achieve significant energy savings, around 23%, compared to traditional models, showcasing the effectiveness of the hybrid microgrid approach in powering remote communities with limited conventional energy access.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"7 6","pages":"940-966"},"PeriodicalIF":2.4000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12192","citationCount":"0","resultStr":"{\"title\":\"Sustainable hybrid renewable energy management system for a community in island: A model approach utilising Hybrid Optimization of Multiple Energy Resources optimization and priority setting-based Supervisory Control and Data Acquisition operation\",\"authors\":\"Iftekhar Ahmed, Md. Abdur Razzak, Feroz Ahmed\",\"doi\":\"10.1049/stg2.12192\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper explores sustainable energy management strategies for a remote community on the Island of Bhashanchar in the Bay of Bengal, designated by the Government of Bangladesh to host Rohingya refugee camps. The island lacks utility-scale power infrastructure, relying primarily on rooftop solar systems. Addressing the challenge of efficient energy utilization, the study analyses the Bhashanchar Community System's energy dynamics, load demand, and renewable energy integration feasibility. The primary objective is to design an optimised hybrid microgrid system to balance energy supply and demand, reducing blackout risks. A Supervisory Control and Data Acquisition based load management system is introduced for real-time energy distribution, enhancing reliability. The proposed off-grid hybrid microgrid system includes solar PV, wind, diesel, biomass, wind turbine, tidal turbine, and battery storage. It incorporates priority setting mechanisms to categorise energy sources by reliability, availability, and environmental impact, ensuring consistent, reliable, and sustainable energy supply. The study demonstrates that the proposed system can achieve significant energy savings, around 23%, compared to traditional models, showcasing the effectiveness of the hybrid microgrid approach in powering remote communities with limited conventional energy access.</p>\",\"PeriodicalId\":36490,\"journal\":{\"name\":\"IET Smart Grid\",\"volume\":\"7 6\",\"pages\":\"940-966\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12192\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Smart Grid\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/stg2.12192\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Smart Grid","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/stg2.12192","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Sustainable hybrid renewable energy management system for a community in island: A model approach utilising Hybrid Optimization of Multiple Energy Resources optimization and priority setting-based Supervisory Control and Data Acquisition operation
This paper explores sustainable energy management strategies for a remote community on the Island of Bhashanchar in the Bay of Bengal, designated by the Government of Bangladesh to host Rohingya refugee camps. The island lacks utility-scale power infrastructure, relying primarily on rooftop solar systems. Addressing the challenge of efficient energy utilization, the study analyses the Bhashanchar Community System's energy dynamics, load demand, and renewable energy integration feasibility. The primary objective is to design an optimised hybrid microgrid system to balance energy supply and demand, reducing blackout risks. A Supervisory Control and Data Acquisition based load management system is introduced for real-time energy distribution, enhancing reliability. The proposed off-grid hybrid microgrid system includes solar PV, wind, diesel, biomass, wind turbine, tidal turbine, and battery storage. It incorporates priority setting mechanisms to categorise energy sources by reliability, availability, and environmental impact, ensuring consistent, reliable, and sustainable energy supply. The study demonstrates that the proposed system can achieve significant energy savings, around 23%, compared to traditional models, showcasing the effectiveness of the hybrid microgrid approach in powering remote communities with limited conventional energy access.