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Pregled bibliografske jedinice broj: 1118895

Reliability and Vulnerability Assessment of Multi- Energy Systems: An Energy Hub Based Method


Huang, Wujing; Du, Ershun; Capuder, Tomislav; Zhang, Xi; Zhang, Ning; Štrbac, Goran; Kang, Chongqing
Reliability and Vulnerability Assessment of Multi- Energy Systems: An Energy Hub Based Method // IEEE transactions on power systems, PP (2021), 99; 1-1 doi:10.1109/TPWRS.2021.3057724 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1118895 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Reliability and Vulnerability Assessment of Multi- Energy Systems: An Energy Hub Based Method

Autori
Huang, Wujing ; Du, Ershun ; Capuder, Tomislav ; Zhang, Xi ; Zhang, Ning ; Štrbac, Goran ; Kang, Chongqing

Izvornik
IEEE transactions on power systems (0885-8950) PP (2021), 99; 1-1

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
multi-energy systems, reliability assessment, vulnerability assessment, Monte Carlo simulation, energy hub, multi-parametric linear programming, self-adaptive

Sažetak
Multi-energy systems (MESs) make it possible to satisfy consumer’s energy demand using multiple coupled energy infrastructures, thus increasing the reliability of the energy supply compared to separate energy systems (SESs). To accurately and efficiently assess and improve the reliability of MESs, this paper proposes a MES reliability and vulnerability assessment method using energy hub (EH) model. The energy conversion, transmission and storage in MESs are compactly and linearly described by EH model, making reliability and vulnerability assessment of MESs tractable. Indices for MES vulnerability assessment are proposed to find the key components for improving MES reliability. Multi-parametric linear programming (MPLP) with a self-adaptive critical region set is proposed to reduce the computational burden caused by iteratively solving LP problems for a large number of samples during the assessment process. The results of a case study show that the proposed reliability and vulnerability assessment method is able to effectively evaluate the energy supply reliability of different energy sectors in MES as well as find the critical component of an MES from reliability perspective to support its planning. The proposed algorithm, i.e., MPLP with a self-adaptive critical region set, can improve the computational efficiency by an order of magnitude compared to the traditional LP method.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Tomislav Capuder (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Huang, Wujing; Du, Ershun; Capuder, Tomislav; Zhang, Xi; Zhang, Ning; Štrbac, Goran; Kang, Chongqing
Reliability and Vulnerability Assessment of Multi- Energy Systems: An Energy Hub Based Method // IEEE transactions on power systems, PP (2021), 99; 1-1 doi:10.1109/TPWRS.2021.3057724 (međunarodna recenzija, članak, znanstveni)
Huang, W., Du, E., Capuder, T., Zhang, X., Zhang, N., Štrbac, G. & Kang, C. (2021) Reliability and Vulnerability Assessment of Multi- Energy Systems: An Energy Hub Based Method. IEEE transactions on power systems, PP (99), 1-1 doi:10.1109/TPWRS.2021.3057724.
@article{article, author = {Huang, Wujing and Du, Ershun and Capuder, Tomislav and Zhang, Xi and Zhang, Ning and \v{S}trbac, Goran and Kang, Chongqing}, year = {2021}, pages = {1-1}, DOI = {10.1109/TPWRS.2021.3057724}, keywords = {multi-energy systems, reliability assessment, vulnerability assessment, Monte Carlo simulation, energy hub, multi-parametric linear programming, self-adaptive}, journal = {IEEE transactions on power systems}, doi = {10.1109/TPWRS.2021.3057724}, volume = {PP}, number = {99}, issn = {0885-8950}, title = {Reliability and Vulnerability Assessment of Multi- Energy Systems: An Energy Hub Based Method}, keyword = {multi-energy systems, reliability assessment, vulnerability assessment, Monte Carlo simulation, energy hub, multi-parametric linear programming, self-adaptive} }
@article{article, author = {Huang, Wujing and Du, Ershun and Capuder, Tomislav and Zhang, Xi and Zhang, Ning and \v{S}trbac, Goran and Kang, Chongqing}, year = {2021}, pages = {1-1}, DOI = {10.1109/TPWRS.2021.3057724}, keywords = {multi-energy systems, reliability assessment, vulnerability assessment, Monte Carlo simulation, energy hub, multi-parametric linear programming, self-adaptive}, journal = {IEEE transactions on power systems}, doi = {10.1109/TPWRS.2021.3057724}, volume = {PP}, number = {99}, issn = {0885-8950}, title = {Reliability and Vulnerability Assessment of Multi- Energy Systems: An Energy Hub Based Method}, keyword = {multi-energy systems, reliability assessment, vulnerability assessment, Monte Carlo simulation, energy hub, multi-parametric linear programming, self-adaptive} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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