{"title":"多能校园微电网汽电排放协同经济调度","authors":"Patrick Wilk, Jie Li","doi":"10.1109/NAPS52732.2021.9654608","DOIUrl":null,"url":null,"abstract":"This paper presents a coordinated steam, power & emission economic dispatch (SPEED) model for achieving an economical operation of a university campus multi-energy microgrid. The coordinated scheduling of combined heat and power (CHP) units, as well as high efficiency steam boilers is implemented to optimize the entire campus energy provision consisting of both steam and electricity, while considering the campus emission reduction objective. Impacts of demand charge, load profiles, and practical operating constraints of the campus multi-energy microgrid system are modeled and formulated into the SPEED problem based on recorded campus energy systems' historical operation data. The effectiveness of the proposed SPEED model is demonstrated on a simplified campus multienergy microgrid system, considering a planned photovoltaic (PV) farm integration and the utility supply. As demonstrated in the simulation results, comparing with the conventional operation solution the university facility is implementing now, the proposed SPEED was capable of coordinating the optimal provision of electricity, steam, as well as emission reduction resulting in overall campus utility monetary savings.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Coordinated Steam, Power & Emission Economic Dispatch of Multi-energy Campus Microgrids\",\"authors\":\"Patrick Wilk, Jie Li\",\"doi\":\"10.1109/NAPS52732.2021.9654608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a coordinated steam, power & emission economic dispatch (SPEED) model for achieving an economical operation of a university campus multi-energy microgrid. The coordinated scheduling of combined heat and power (CHP) units, as well as high efficiency steam boilers is implemented to optimize the entire campus energy provision consisting of both steam and electricity, while considering the campus emission reduction objective. Impacts of demand charge, load profiles, and practical operating constraints of the campus multi-energy microgrid system are modeled and formulated into the SPEED problem based on recorded campus energy systems' historical operation data. The effectiveness of the proposed SPEED model is demonstrated on a simplified campus multienergy microgrid system, considering a planned photovoltaic (PV) farm integration and the utility supply. As demonstrated in the simulation results, comparing with the conventional operation solution the university facility is implementing now, the proposed SPEED was capable of coordinating the optimal provision of electricity, steam, as well as emission reduction resulting in overall campus utility monetary savings.\",\"PeriodicalId\":123077,\"journal\":{\"name\":\"2021 North American Power Symposium (NAPS)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 North American Power Symposium (NAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAPS52732.2021.9654608\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 North American Power Symposium (NAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS52732.2021.9654608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Coordinated Steam, Power & Emission Economic Dispatch of Multi-energy Campus Microgrids
This paper presents a coordinated steam, power & emission economic dispatch (SPEED) model for achieving an economical operation of a university campus multi-energy microgrid. The coordinated scheduling of combined heat and power (CHP) units, as well as high efficiency steam boilers is implemented to optimize the entire campus energy provision consisting of both steam and electricity, while considering the campus emission reduction objective. Impacts of demand charge, load profiles, and practical operating constraints of the campus multi-energy microgrid system are modeled and formulated into the SPEED problem based on recorded campus energy systems' historical operation data. The effectiveness of the proposed SPEED model is demonstrated on a simplified campus multienergy microgrid system, considering a planned photovoltaic (PV) farm integration and the utility supply. As demonstrated in the simulation results, comparing with the conventional operation solution the university facility is implementing now, the proposed SPEED was capable of coordinating the optimal provision of electricity, steam, as well as emission reduction resulting in overall campus utility monetary savings.