Anni Lin, S. Wen, Miao Zhu, Zhaohao Ding, Tao Ding
{"title":"考虑安全返回的全电动船舶弹性能源管理","authors":"Anni Lin, S. Wen, Miao Zhu, Zhaohao Ding, Tao Ding","doi":"10.1109/IAS54023.2022.9939914","DOIUrl":null,"url":null,"abstract":"Marine power systems are isolated from external grids, making them more vulnerable than land-based power system. Additionally, different from fixed terrestrial microgrids, all-electric ships are mobile transportation vehicles, complying with the regulation of safe return to port. In order to enhance the resilience and improve energy efficiency of mobile microgrid, this study proposes a two-stage economic and resilient optimization framework for an all-electric ship (AES), taking into account the impact of navigation. In the first stage, a joint voyage and power scheduling of the AES is developed to reduce the operation costs and greenhouse gas emissions for normal operation mode. In the second stage, resilience-oriented optimization is proposed to defend the extreme contingency by optimizing the navigation speed and load shedding. Furthermore, resistance during the whole AES navigation is also considered. To verify the proposed algorithm, several cases are compared to demonstrate the resilience and economy of the shipboard power system and the necessity of addressing the effect of sailing resistance on the AES voyage.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Resilience-Oriented Energy Management for All-Electric Ships Considering Safe Return\",\"authors\":\"Anni Lin, S. Wen, Miao Zhu, Zhaohao Ding, Tao Ding\",\"doi\":\"10.1109/IAS54023.2022.9939914\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Marine power systems are isolated from external grids, making them more vulnerable than land-based power system. Additionally, different from fixed terrestrial microgrids, all-electric ships are mobile transportation vehicles, complying with the regulation of safe return to port. In order to enhance the resilience and improve energy efficiency of mobile microgrid, this study proposes a two-stage economic and resilient optimization framework for an all-electric ship (AES), taking into account the impact of navigation. In the first stage, a joint voyage and power scheduling of the AES is developed to reduce the operation costs and greenhouse gas emissions for normal operation mode. In the second stage, resilience-oriented optimization is proposed to defend the extreme contingency by optimizing the navigation speed and load shedding. Furthermore, resistance during the whole AES navigation is also considered. To verify the proposed algorithm, several cases are compared to demonstrate the resilience and economy of the shipboard power system and the necessity of addressing the effect of sailing resistance on the AES voyage.\",\"PeriodicalId\":193587,\"journal\":{\"name\":\"2022 IEEE Industry Applications Society Annual Meeting (IAS)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Industry Applications Society Annual Meeting (IAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAS54023.2022.9939914\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAS54023.2022.9939914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Resilience-Oriented Energy Management for All-Electric Ships Considering Safe Return
Marine power systems are isolated from external grids, making them more vulnerable than land-based power system. Additionally, different from fixed terrestrial microgrids, all-electric ships are mobile transportation vehicles, complying with the regulation of safe return to port. In order to enhance the resilience and improve energy efficiency of mobile microgrid, this study proposes a two-stage economic and resilient optimization framework for an all-electric ship (AES), taking into account the impact of navigation. In the first stage, a joint voyage and power scheduling of the AES is developed to reduce the operation costs and greenhouse gas emissions for normal operation mode. In the second stage, resilience-oriented optimization is proposed to defend the extreme contingency by optimizing the navigation speed and load shedding. Furthermore, resistance during the whole AES navigation is also considered. To verify the proposed algorithm, several cases are compared to demonstrate the resilience and economy of the shipboard power system and the necessity of addressing the effect of sailing resistance on the AES voyage.