{"title":"面向成本效益能源管理的可再生集成并网微电网建模与评价","authors":"M. Kamal, Ali Asghar, I. Ashraf","doi":"10.1109/ICAISC56366.2023.10085461","DOIUrl":null,"url":null,"abstract":"The world is dedicated to increasing renewable energy, achieving energy savings, and reducing greenhouse gas (GHG) production to help global efforts combat climate change. India has committed to providing access to power in rural regions using accessible renewable energy sources to reduce greenhouse gas emissions. The microgrid powered by renewable resources can meet local energy needs and add the remaining excess power to the electric grid. Additionally, it can minimize the issue of greenhouse emissions. This study examined the best grid-connected microgrid configuration and simulation for a residence in Lucknow, Uttar Pradesh, India. Using the HOMER energy application, a model is created and tested. A battery bank serves as the microgrid’s storage system, and wind turbine, photovoltaic, and diesel generators serve as its generating resources. The simulation results show that, in terms of meeting the demand for the entire load, the proposed home microgrid is more affordable than the power grid. The overall net present cost of the ideal system is computed to be ${\\$}$ 17,443 for the region under consideration at an energy cost of 010/kWh. Additionally, the proposed grid’s environmental effect is examined, and it is discovered that the architecture of the proposed grid emits just a small amount of dangerous greenhouse gases.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling and Evaluation of Renewable Integrated Grid-Connected Microgrid for Cost-Effective Energy Management\",\"authors\":\"M. Kamal, Ali Asghar, I. Ashraf\",\"doi\":\"10.1109/ICAISC56366.2023.10085461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The world is dedicated to increasing renewable energy, achieving energy savings, and reducing greenhouse gas (GHG) production to help global efforts combat climate change. India has committed to providing access to power in rural regions using accessible renewable energy sources to reduce greenhouse gas emissions. The microgrid powered by renewable resources can meet local energy needs and add the remaining excess power to the electric grid. Additionally, it can minimize the issue of greenhouse emissions. This study examined the best grid-connected microgrid configuration and simulation for a residence in Lucknow, Uttar Pradesh, India. Using the HOMER energy application, a model is created and tested. A battery bank serves as the microgrid’s storage system, and wind turbine, photovoltaic, and diesel generators serve as its generating resources. The simulation results show that, in terms of meeting the demand for the entire load, the proposed home microgrid is more affordable than the power grid. The overall net present cost of the ideal system is computed to be ${\\\\$}$ 17,443 for the region under consideration at an energy cost of 010/kWh. Additionally, the proposed grid’s environmental effect is examined, and it is discovered that the architecture of the proposed grid emits just a small amount of dangerous greenhouse gases.\",\"PeriodicalId\":422888,\"journal\":{\"name\":\"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAISC56366.2023.10085461\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAISC56366.2023.10085461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling and Evaluation of Renewable Integrated Grid-Connected Microgrid for Cost-Effective Energy Management
The world is dedicated to increasing renewable energy, achieving energy savings, and reducing greenhouse gas (GHG) production to help global efforts combat climate change. India has committed to providing access to power in rural regions using accessible renewable energy sources to reduce greenhouse gas emissions. The microgrid powered by renewable resources can meet local energy needs and add the remaining excess power to the electric grid. Additionally, it can minimize the issue of greenhouse emissions. This study examined the best grid-connected microgrid configuration and simulation for a residence in Lucknow, Uttar Pradesh, India. Using the HOMER energy application, a model is created and tested. A battery bank serves as the microgrid’s storage system, and wind turbine, photovoltaic, and diesel generators serve as its generating resources. The simulation results show that, in terms of meeting the demand for the entire load, the proposed home microgrid is more affordable than the power grid. The overall net present cost of the ideal system is computed to be ${\$}$ 17,443 for the region under consideration at an energy cost of 010/kWh. Additionally, the proposed grid’s environmental effect is examined, and it is discovered that the architecture of the proposed grid emits just a small amount of dangerous greenhouse gases.