Stochastic operation and scheduling of energy hub considering renewable energy sources’ uncertainty and N-1 contingency
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F21%3A43962172" target="_blank" >RIV/49777513:23220/21:43962172 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2210670720307964" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2210670720307964</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.scs.2020.102578" target="_blank" >10.1016/j.scs.2020.102578</a>
Alternative languages
Result language
angličtina
Original language name
Stochastic operation and scheduling of energy hub considering renewable energy sources’ uncertainty and N-1 contingency
Original language description
The optimization of energy systems, including various kinds of energies, based on the concepts of energy hub (EH) has received a great deal of attention. Different methods have been introduced for optimization of EH’s operation, which considered the uncertainties of distributed renewable energy sources (DRESs). However, a knowledge gap exists in developing a stochastic optimization method, which comprehensively considers the uncertainties of DRESs and different configurations of EH due to outage of sub-systems. In existing methods, it has been assumed that the EH’s sub-systems are ideal and they are in-service every time. Therefore, most of the introduced methods have been developed based on the base configuration of EH, while all sub-systems are available. This paper tries to fill such a knowledge gap by proposing a new stochastic optimization method considering different configurations of EH due to N-1 contingency as well as DRESs’ uncertainties. The comparison of test results with other available deterministic and probabilistic methods that did not concern the different EH’s configurations illustrates the advantages of the proposed method. Test results show that more than 9 % inaccuracy might occur due to non-consideration of different EH’s configurations.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sustainable Cities and Society
ISSN
2210-6707
e-ISSN
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Volume of the periodical
65
Issue of the periodical within the volume
February 2021
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
17
Pages from-to
1-17
UT code for WoS article
000615946300003
EID of the result in the Scopus database
2-s2.0-85096563863