Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Bernard Knueven"'
Autor:
Yonghong Chen, Feng Pan, Feng Qiu, Alinson S Xavier, Tongxin Zheng, Muhammad Marwali, Bernard Knueven, Yongpei Guan, Peter B. Luh, Lei Wu, Bing Yan, Mikhail A. Bragin, Haiwang Zhong, Anthony Giacomoni, Ross Baldick, Boris Gisin, Qun Gu, Russ Philbrick, Fangxing Li
Publikováno v:
IEEE Transactions on Power Systems. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92d441bf6da0e3785f609443b5132153
https://doi.org/10.1109/tpwrs.2022.3213001
https://doi.org/10.1109/tpwrs.2022.3213001
Publikováno v:
2022 IEEE Power & Energy Society General Meeting (PESGM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05ea5cebb898fc7b6c49772601f57b3e
https://doi.org/10.1109/pesgm48719.2022.9917010
https://doi.org/10.1109/pesgm48719.2022.9917010
Publikováno v:
Mathematical Programming Computation. 12:225-248
We present a novel formulation for startup cost computation in the unit commitment problem (UC). Both our proposed formulation and existing formulations in the literature are placed in a formal, theoretical dominance hierarchy based on their respecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7646890ccab260f8d9141e263cdd6277
https://doi.org/10.1007/s12532-020-00176-5
https://doi.org/10.1007/s12532-020-00176-5
Publikováno v:
Computer Aided Chemical Engineering ISBN: 9780323851596
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3df46d59ae78fa62041bd8e33f7b6eb2
https://doi.org/10.1016/b978-0-323-85159-6.50086-5
https://doi.org/10.1016/b978-0-323-85159-6.50086-5
Publikováno v:
2021 IEEE Power & Energy Society General Meeting (PESGM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7878807d105786552678f44dbce07fc
https://doi.org/10.1109/pesgm46819.2021.9637834
https://doi.org/10.1109/pesgm46819.2021.9637834
Autor:
Anya Castillo, Bryan Arguello, Carl D. Laird, Andrea Staid, Michael Bynum, Bernard Knueven, Jean-Paul Watson
Publikováno v:
Journal of Infrastructure Systems. 27
We present scalable stochastic optimization approaches for improving power systems’ resilience to extreme weather events. We consider both proactive redispatch and transmission line hardeni...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5355cea84d6bef51b39bb72478cef8f
https://doi.org/10.1061/(asce)is.1943-555x.0000603
https://doi.org/10.1061/(asce)is.1943-555x.0000603
Publikováno v:
Proposed for presentation at the Technical Conference on Increasing Market and Planning Efficiency through Improved Software held June 22-24, 2021 in.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d88f70aa8150378c7f9aaa371cb09337
https://doi.org/10.2172/1884223
https://doi.org/10.2172/1884223
Autor:
Bernard Knueven, Bismark Singh
Publikováno v:
Journal of Global Optimization.
We develop a stochastic optimization model for scheduling a hybrid solar-battery storage system. Solar power in excess of the promise can be used to charge the battery, while power short of the promise is met by discharging the battery. We ensure rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd1b6af4a9d984dfecdd46cfe5988fb7
https://doi.org/10.1007/s10898-021-01041-y
https://doi.org/10.1007/s10898-021-01041-y
Publikováno v:
Applied Energy. 316:119017
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ddc3ac43d63c1bc935d0107f2692900
https://doi.org/10.1016/j.apenergy.2022.119017
https://doi.org/10.1016/j.apenergy.2022.119017
Publikováno v:
2021 IEEE Green Technologies Conference (GreenTech).
Power distribution systems are more prone to disruptions and cause most power system outages. We propose a service restoration technique to recover the system service (electricity delivery) following an extreme event-triggered substation outage. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ac3bf00025b572b5dbb7d4621043b11
https://doi.org/10.1109/greentech48523.2021.00054
https://doi.org/10.1109/greentech48523.2021.00054