Title: Network‐constrained rail transportation and power system scheduling with mobile battery energy storage under a multi‐objective two‐stage stochastic programming
Abstract: International Journal of Energy ResearchVolume 45, Issue 13 p. 18827-18845 RESEARCH ARTICLE Network-constrained rail transportation and power system scheduling with mobile battery energy storage under a multi-objective two-stage stochastic programming Mohammad Amin Mirzaei, Corresponding Author Mohammad Amin Mirzaei [email protected] orcid.org/0000-0002-8793-7642 Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran Correspondence Mohammad Amin Mirzaei, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. Email: [email protected] for more papers by this authorMohammad Hemmati, Mohammad Hemmati Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, IranSearch for more papers by this authorKazem Zare, Kazem Zare Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, IranSearch for more papers by this authorBehnam Mohammadi-Ivatloo, Behnam Mohammadi-Ivatloo orcid.org/0000-0002-0255-8353 Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran Department of Energy Technology, Aalborg University, Aalborg, DenmarkSearch for more papers by this authorMehdi Abapour, Mehdi Abapour Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, IranSearch for more papers by this authorMousa Marzband, Mousa Marzband Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle, UK Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah, Saudi ArabiaSearch for more papers by this authorReza Razzaghi, Reza Razzaghi Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Victoria, AustraliaSearch for more papers by this authorAmjad Anvari-Moghaddam, Amjad Anvari-Moghaddam orcid.org/0000-0002-5505-3252 Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran Department of Energy Technology, Aalborg University, Aalborg, DenmarkSearch for more papers by this author Mohammad Amin Mirzaei, Corresponding Author Mohammad Amin Mirzaei [email protected] orcid.org/0000-0002-8793-7642 Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran Correspondence Mohammad Amin Mirzaei, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. Email: [email protected] for more papers by this authorMohammad Hemmati, Mohammad Hemmati Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, IranSearch for more papers by this authorKazem Zare, Kazem Zare Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, IranSearch for more papers by this authorBehnam Mohammadi-Ivatloo, Behnam Mohammadi-Ivatloo orcid.org/0000-0002-0255-8353 Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran Department of Energy Technology, Aalborg University, Aalborg, DenmarkSearch for more papers by this authorMehdi Abapour, Mehdi Abapour Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, IranSearch for more papers by this authorMousa Marzband, Mousa Marzband Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle, UK Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah, Saudi ArabiaSearch for more papers by this authorReza Razzaghi, Reza Razzaghi Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Victoria, AustraliaSearch for more papers by this authorAmjad Anvari-Moghaddam, Amjad Anvari-Moghaddam orcid.org/0000-0002-5505-3252 Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran Department of Energy Technology, Aalborg University, Aalborg, DenmarkSearch for more papers by this author First published: 05 July 2021 https://doi.org/10.1002/er.6981Citations: 2Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Summary By increasing environmental pollution and the energy crisis, the development of renewable energy sources (RESs) has become an essential option to ensure a sustainable energy supply. However, the inherent uncertainty of RESs poses significant technical challenges for independent system operators (ISOs). Transmission line congestion has become one of the significant challenges for ISOs to use the maximum power of RESs. The mobile battery-based energy storage systems can provide a promising solution for the transportation of the generated energy from RESs to load centers to mitigate the effects of line congestion on the power network operation. Hence, this article evaluates the impact of battery-based energy storage transport by a train called BESTrain in a unit commitment model from the economic, environmental, and technical aspects under a multi-objective mixed-integer linear programming framework. The uncertainties associated with wind power and electric demand are also handled through a two-stage stochastic technique. The main aim of the introduced model is to minimize the carbon emission and operational cost simultaneously by determining the hourly location and optimal charge/discharge scheme of the BESTrain, and optimal scheduling of power plants. The numerical results exhibit the reduction of operation cost and carbon emission by 6.8% and 19.3%, respectively, in the presence of the BESTrain. Citing Literature Volume45, Issue1325 October 2021Pages 18827-18845 RelatedInformation