An Optimal Day-Ahead Scheduling Framework for E-Mobility Ecosystem Operation With Drivers’ Preferences

Autor: Mousa Marzband, S. Ali Pourmousavi Kani, Mahsa Bagheri Tookanlou

Publikováno v: IEEE Transactions on Power Systems. 36:5245-5257

The future e-mobility ecosystem will be a complex structure with different stakeholders seeking to optimize their operation and benefits. In this paper, a day-ahead grid-to-vehicle (G2V) and vehicle-to-grid (V2G) scheduling framework is proposed incl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b2e94f8505065ea6080fa3ed040a376
https://doi.org/10.1109/tpwrs.2021.3068689

Cloud Cover Bias Correction in Numerical Weather Model Simulations for Solar Energy Monitoring and Forecasting Systems: A New Kernel Ridge Regression Approach

Autor: Ravinesh C. Deo, A. A. Masrur Ahmed, David Casillas-Perez, Seyyed Ali Pourmousavi Kani, Gary Segal, Yanshan Yu, Sancho Salcedo-Sanz

Publikováno v: SSRN Electronic Journal.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::07ac27bf54d74fd83eb8fa4f1122ef5f
https://doi.org/10.2139/ssrn.4282470

Behind-the-Meter Energy Flexibility Modelling for Aggregator Operation with a Focus on Uncertainty

Autor: Emma M. V. Blomgren, Razgar Ebrahimy, Ali Pourmousavi Kani, Jan Kloppenborg Moller, Francesco D'Ettorre, Mohsen Banaei, Henrik Madsen

Publikováno v: Blomgren, E M V, Ebrahimy, R, Kani, S A P, Møller, J K, D'Ettorre, F, Banaei, M & Madsen, H 2021, Behind-the-Meter Energy Flexibility Modelling for Aggregator Operation with a Focus on Uncertainty . in Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Conference Europe . IEEE, 2021 IEEE PES Innovative Smart Grid Technologies Conference Europe, Espoo, Finland, 18/10/2021 . https://doi.org/10.1109/ISGTEurope52324.2021.9640146

Aggregators are expected to become an inevitable entity in future power system operation, playing a key role in unlocking flexibility at the edge of the grid. One of the main barriers to aggregators entering the market is the lack of appropriate mode

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f45c1e34467a0e073ff075f5cfb11de9
https://orbit.dtu.dk/en/publications/48c028f9-71d7-43b6-b899-1da8814414ab

Microgrid control overview

Autor: Asaduzzaman Shoeb, S. Ali Pourmousavi Kani, Gm. Shafiullah, Farhad Shahnia, M. Imran Azim

Publikováno v: Variability, Scalability and Stability of Microgrids ISBN: 9781785616938

A microgrid (MG) is always prone to the uncertainties of its demand variation and generation of its non-dispatchable renewable sources, particularly when operating in the islanded mode. Such events can push voltage and/or frequency of the MG beyond t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a4d0c2af42c91f9a0782a750861aebb7
https://doi.org/10.1049/pbpo139e_ch2

Real-Time Energy Management of a Stand-Alone Hybrid Wind-Microturbine Energy System Using Particle Swarm Optimization

Autor: Seyyed Ali Pourmousavi Kani, C.M. Colson, Hashem Nehrir, Caisheng Wang

Publikováno v: IEEE Transactions on Sustainable Energy. 1:193-201

Energy sustainability of hybrid energy systems is essentially a multi-objective, multi-constraint problem, where the energy system requires the capability to make rapid and robust decisions regarding the dispatch of electrical power produced by gener

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d22a9c71baa1134f369918489cdca5b
https://doi.org/10.1109/tste.2010.2061881