{"title":"考虑到可再生能源不确定性的基于凸壳的电网经济运行区域","authors":"Huating Xu;Bin Feng;Gang Huang;Mingyang Sun;Houbo Xiong;Chuangxin Guo","doi":"10.35833/MPCE.2023.000549","DOIUrl":null,"url":null,"abstract":"The increasing integration of renewable energy sources (RESs) presents significant challenges for the safe and economical operation of power grids. Addressing the critical need to assess the effect of RES uncertainties on optimal scheduling schemes (OSSs), this paper introduces a convex hull based economic operating region (CH-EOR) for power grids. The CH-EOR is mathematically defined to delineate the impact of RES uncertainties on power grid operations. We propose a novel approach for generating the CH-EOR, enhanced by a \n<tex>$\\mathbf{big}-\\boldsymbol{M}$</tex>\n preprocessing method to improve the computational efficiency. Performed on four test systems, the proposed \n<tex>$\\mathbf{big}-\\boldsymbol{M}$</tex>\n preprocessing method demonstrates notable advancements: a reduction in average operating costs by over 10% compared with the box-constrained operating region (BC-OR) derived from robust optimization. Furthermore, the CH-EOR occupies less than 11.79% of the generators' adjustable region (GAR). Most significantly, after applying the proposed \n<tex>$\\mathbf{big}-\\boldsymbol{M}$</tex>\n preprocessing method, the computational efficiency is improved over 17 times compared with the traditional \n<tex>$\\mathbf{big}-\\boldsymbol{M}$</tex>\n method.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"12 5","pages":"1419-1430"},"PeriodicalIF":5.7000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10477368","citationCount":"0","resultStr":"{\"title\":\"Convex Hull Based Economic Operating Region for Power Grids Considering Uncertainties of Renewable Energy Sources\",\"authors\":\"Huating Xu;Bin Feng;Gang Huang;Mingyang Sun;Houbo Xiong;Chuangxin Guo\",\"doi\":\"10.35833/MPCE.2023.000549\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increasing integration of renewable energy sources (RESs) presents significant challenges for the safe and economical operation of power grids. Addressing the critical need to assess the effect of RES uncertainties on optimal scheduling schemes (OSSs), this paper introduces a convex hull based economic operating region (CH-EOR) for power grids. The CH-EOR is mathematically defined to delineate the impact of RES uncertainties on power grid operations. We propose a novel approach for generating the CH-EOR, enhanced by a \\n<tex>$\\\\mathbf{big}-\\\\boldsymbol{M}$</tex>\\n preprocessing method to improve the computational efficiency. Performed on four test systems, the proposed \\n<tex>$\\\\mathbf{big}-\\\\boldsymbol{M}$</tex>\\n preprocessing method demonstrates notable advancements: a reduction in average operating costs by over 10% compared with the box-constrained operating region (BC-OR) derived from robust optimization. Furthermore, the CH-EOR occupies less than 11.79% of the generators' adjustable region (GAR). Most significantly, after applying the proposed \\n<tex>$\\\\mathbf{big}-\\\\boldsymbol{M}$</tex>\\n preprocessing method, the computational efficiency is improved over 17 times compared with the traditional \\n<tex>$\\\\mathbf{big}-\\\\boldsymbol{M}$</tex>\\n method.\",\"PeriodicalId\":51326,\"journal\":{\"name\":\"Journal of Modern Power Systems and Clean Energy\",\"volume\":\"12 5\",\"pages\":\"1419-1430\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2024-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10477368\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Modern Power Systems and Clean Energy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10477368/\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Modern Power Systems and Clean Energy","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10477368/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Convex Hull Based Economic Operating Region for Power Grids Considering Uncertainties of Renewable Energy Sources
The increasing integration of renewable energy sources (RESs) presents significant challenges for the safe and economical operation of power grids. Addressing the critical need to assess the effect of RES uncertainties on optimal scheduling schemes (OSSs), this paper introduces a convex hull based economic operating region (CH-EOR) for power grids. The CH-EOR is mathematically defined to delineate the impact of RES uncertainties on power grid operations. We propose a novel approach for generating the CH-EOR, enhanced by a
$\mathbf{big}-\boldsymbol{M}$
preprocessing method to improve the computational efficiency. Performed on four test systems, the proposed
$\mathbf{big}-\boldsymbol{M}$
preprocessing method demonstrates notable advancements: a reduction in average operating costs by over 10% compared with the box-constrained operating region (BC-OR) derived from robust optimization. Furthermore, the CH-EOR occupies less than 11.79% of the generators' adjustable region (GAR). Most significantly, after applying the proposed
$\mathbf{big}-\boldsymbol{M}$
preprocessing method, the computational efficiency is improved over 17 times compared with the traditional
$\mathbf{big}-\boldsymbol{M}$
method.
期刊介绍:
Journal of Modern Power Systems and Clean Energy (MPCE), commencing from June, 2013, is a newly established, peer-reviewed and quarterly published journal in English. It is the first international power engineering journal originated in mainland China. MPCE publishes original papers, short letters and review articles in the field of modern power systems with focus on smart grid technology and renewable energy integration, etc.