Zobrazeno 1 - 10
of 20
pro vyhledávání: '"R. John Millar"'
Autor:
Mohammad Jooshaki, Sahand Karimi-Arpanahi, R. John Millar, Matti Lehtonen, Mahmud Fotuhi-Firuzabad
Publikováno v:
IEEE Access, Vol 11, Pp 40905-40915 (2023)
Installing sectionalizing switches and field circuit breakers (FCBs) is vital for the fast restoration of customer electricity supply in distribution systems. However, the high capital costs of these protection devices, especially remote-controlled s
Externí odkaz:
https://doaj.org/article/4efd99c63fcc41b1a1aff468a1f285d9
Autor:
Mohammad Jooshaki, Sahand Karimi-Arpanahi, Matti Lehtonen, R. John Millar, Mahmud Fotuhi-Firuzabad
Publikováno v:
IEEE Access, Vol 8, Pp 93455-93463 (2020)
The judicious placement of disconnecting switches is an efficient means to enhance the reliability of distribution networks. Aiming at optimizing the investment in these switches, this paper presents a mathematical programming-based model considering
Externí odkaz:
https://doaj.org/article/bc3939b3723e4d049e509d172eb98014
Autor:
Mohammad Jooshaki, Sahand Karimi-Arpanahi, Matti Lehtonen, R. John Millar, Mahmud Fotuhi-Firuzabad
Publikováno v:
IEEE Access, Vol 8, Pp 130967-130978 (2020)
In the past decade, enhancing the reliability of distribution networks by means of optimal switch placement has attracted much attention. In the case of failures in a distribution feeder, such disconnect switches will isolate the faulted section, and
Externí odkaz:
https://doaj.org/article/620eaf514c2d450087ad9c6a9548e58f
Publikováno v:
IEEE Access, Vol 7, Pp 91463-91475 (2019)
Improved performance electricity demand forecast can provide decentralized energy system operators, aggregators, managers, and other stakeholders with essential information for energy resource scheduling, demand response management, and energy market
Externí odkaz:
https://doaj.org/article/7b13611bddb8494dbfda147bba737188
Publikováno v:
IEEE Access, Vol 7, Pp 90652-90665 (2019)
Distributed photovoltaic (PV) solar power plants are playing an increasing role as a power generation resource in the modern electricity grid. However, PVs pose significant challenges to grid planners, operators, owners, investors, aggregators, and o
Externí odkaz:
https://doaj.org/article/de64036d2ba04c9ab137e9c52dd91cc9
Publikováno v:
IEEE Access, Vol 7, Pp 106092-106101 (2019)
The increasing penetration of renewable energy resources and volatility of energy prices cause huge challenges in planning and regulating energy generation, transport, and distribution. A possible solution can be a paradigm change of employing contro
Externí odkaz:
https://doaj.org/article/6de4a6d453ba4e078e4baf5f0c527dd0
Autor:
Sahand Karimi-Arpanahi, Matti Lehtonen, Mohammad Jooshaki, Mahmud Fotuhi-Firuzabad, R. John Millar
Publikováno v:
IEEE Transactions on Smart Grid. 12:4740-4751
Sectionalizing switches (SSs) and tie lines play essential roles in reducing the duration of customer interruptions in electricity distribution networks. The effectiveness of such assets is strongly influenced by their placement in the grid. Operatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54486373ea72cda6a27112bf4ef9ffef
https://doi.org/10.1109/tsg.2021.3092405
https://doi.org/10.1109/tsg.2021.3092405
Publikováno v:
IEEE Access, Vol 7, Pp 90652-90665 (2019)
Distributed photovoltaic (PV) solar power plants are playing an increasing role as a power generation resource in the modern electricity grid. However, PVs pose significant challenges to grid planners, operators, owners, investors, aggregators, and o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daf8585d87e814c61fb1f5a6146abd29
https://ieeexplore.ieee.org/document/8755846/
https://ieeexplore.ieee.org/document/8755846/
Autor:
Muhammad Humayun, Matti Lehtonen, Bruno Jorge de Oliveira e Sousa, Atte Pihkala, R. John Millar
Publikováno v:
IEEE TRANSACTIONS ON POWER SYSTEMS. 32(2):978-988
This paper formulates a block-layer method for the reliability assessment of distribution systems. The characteristics of the method include: 1) identifying the impact of distribution component reliability on the system and load points using a block-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56e2ebcccd436eff083c1c31d97cbd83
https://doi.org/10.1109/TPWRS.2016.2586111
https://doi.org/10.1109/TPWRS.2016.2586111
Publikováno v:
INDIN
This paper proposes an Artificial Intelligence (AI) based data-driven approach to forecast heat demand for various customer types in a District Heating System (DHS). The proposed day-ahead forecasting approach is based on a hybrid model consisting of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eee25e1e0182716f659b52987e43edec
https://doi.org/10.1109/indin41052.2019.8972297
https://doi.org/10.1109/indin41052.2019.8972297