Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Eddy Y. S. Foo"'
Autor:
Andreas Eibeck, Arkadiusz Chadzynski, Mei Qi Lim, Kevin Aditya, Laura Ong, Aravind Devanand, Gourab Karmakar, Sebastian Mosbach, Raymond Lau, Iftekhar A. Karimi, Eddy Y. S. Foo, Markus Kraft
Publikováno v:
Data-Centric Engineering, Vol 1 (2020)
This paper presents Parallel World Framework as a solution for simulations of complex systems within a time-varying knowledge graph and its application to the electric grid of Jurong Island in Singapore. The underlying modeling system is based on the
Externí odkaz:
https://doaj.org/article/53f69c7edf53465d99c282c62bd044a0
This work proposes a cooperative trading scheme for the robust optimal energy and reserve management in a multiple-microgrid (MMG) system comprising four microgrids (MGs). This scheme includes a robust optimization (RO) model which accounts for the u
Externí odkaz:
http://arxiv.org/abs/1812.00177
Publikováno v:
IEEE Systems Journal. :1-10
Akademický článek
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Publikováno v:
2021 IEEE Power & Energy Society General Meeting (PESGM).
Publikováno v:
2020 IEEE Power & Energy Society General Meeting (PESGM).
This paper proposes a piecewise-affine decision rule based stochastic optimal power flow approach for reserve dispatch of generators under uncertain demand and renewable energy source generation. The ambiguity set comprises a predefined set of scenar
Autor:
Arkadiusz Chadzynski, Mei Qi Lim, Eddy Y. S. Foo, Sebastian Mosbach, Laura Ong, Aravind Devanand, Gourab Karmakar, Raymond Lau, Kevin Aditya, Andreas Eibeck, Markus Kraft, Iftekhar A. Karimi
This paper presents Parallel World Framework as a solution for simulations of complex systems within a time-varying knowledge graph and its application to the electric grid of Jurong Island in Singapore. The underlying modeling system is based on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d0ef6bf415b2dbdc0669d187797dce4
Publikováno v:
CDC
The rising penetration of renewable energy sources (RESs) has led to increased research interest in the optimal scheduling and management of multi-microgrid (MMG) systems. This is due to the potential economic benefits which can be derived from the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9acdaee8e1aa315340058d1f6f246d0
https://hdl.handle.net/10356/148382
https://hdl.handle.net/10356/148382
Autor:
David K. Y. Yau, Ravishankar K. Iyer, Hoang Hai Nguyen, Rui Tan, Eddy Y. S. Foo, Zbigniew Kalbarczyk, Hoay Beng Gooi
Publikováno v:
IEEE Transactions on Information Forensics and Security. 12:1609-1624
This paper studies the impact of false data injection (FDI) attacks on automatic generation control (AGC), a fundamental control system used in all power grids to maintain the grid frequency at a nominal value. Attacks on the sensor measurements for
The increasing penetration of renewable energy sources (RESs) has led to the proliferation of microgrids (MGs) in the power system. Recently, the concept of multimicrogrid (MMG) systems has come into prominence due to the economic benefits accrued th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef485cb95ab14f9424a6837f72ca17d5
https://hdl.handle.net/10356/142037
https://hdl.handle.net/10356/142037