File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/TSTE.2016.2615055
- Scopus: eid_2-s2.0-85019175305
- WOS: WOS:000398910000022
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Quantification of Intra-hour Security-constrained Flexibility Region
Title | Quantification of Intra-hour Security-constrained Flexibility Region |
---|---|
Authors | |
Keywords | Contingency analysis dc power flow optimal power flow power system flexibility robust optimization |
Issue Date | 2017 |
Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165391 |
Citation | IEEE Transactions on Sustainable Energy, 2017, v. 8 n. 2, p. 671-684 How to Cite? |
Abstract | Rapid growth of renewable energy sources (RES) in the generation capacity mix poses substantial challenges on the operation of power systems in various time scales. Particularly in the intra-hour time scale, the interplay among variability and uncertainty of RES, unexpected transmission/generation outages, and short dispatch lead time cause difficulties in generation-load balancing. This paper proposes a method to quantify the intra-hour flexibility region. A robust security-constrained multi-period optimal power flow (RSC-OPF) model is first constructed to quantify the frequency, magnitude, and intensity of insufficient flexibility. The randomness of RES is captured by uncertainty sets in this model. The N-k contingency, spinning reserve, and corrective control limit constraints are included. This model is then cast into a two-stage robust optimization (RO) model and solved by the column-and-constraint generation (C&CG) method. The emergency measures with a least number of affected buses are derived and subsequently assessed by the post-optimization sensitivity analysis. Finally, the operational flexibility region is determined by continuous perturbation on the RES penetration level and the forecast error. The IEEE 14-bus system and a realistic Chinese 157-bus system are used to demonstrate the proposed method. |
Persistent Identifier | http://hdl.handle.net/10722/237019 |
ISSN | 2023 Impact Factor: 8.6 2023 SCImago Journal Rankings: 4.364 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Qin, Z | - |
dc.contributor.author | Hou, Y | - |
dc.contributor.author | Lei, S | - |
dc.contributor.author | Liu, F | - |
dc.date.accessioned | 2016-12-20T06:14:58Z | - |
dc.date.available | 2016-12-20T06:14:58Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | IEEE Transactions on Sustainable Energy, 2017, v. 8 n. 2, p. 671-684 | - |
dc.identifier.issn | 1949-3029 | - |
dc.identifier.uri | http://hdl.handle.net/10722/237019 | - |
dc.description.abstract | Rapid growth of renewable energy sources (RES) in the generation capacity mix poses substantial challenges on the operation of power systems in various time scales. Particularly in the intra-hour time scale, the interplay among variability and uncertainty of RES, unexpected transmission/generation outages, and short dispatch lead time cause difficulties in generation-load balancing. This paper proposes a method to quantify the intra-hour flexibility region. A robust security-constrained multi-period optimal power flow (RSC-OPF) model is first constructed to quantify the frequency, magnitude, and intensity of insufficient flexibility. The randomness of RES is captured by uncertainty sets in this model. The N-k contingency, spinning reserve, and corrective control limit constraints are included. This model is then cast into a two-stage robust optimization (RO) model and solved by the column-and-constraint generation (C&CG) method. The emergency measures with a least number of affected buses are derived and subsequently assessed by the post-optimization sensitivity analysis. Finally, the operational flexibility region is determined by continuous perturbation on the RES penetration level and the forecast error. The IEEE 14-bus system and a realistic Chinese 157-bus system are used to demonstrate the proposed method. | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165391 | - |
dc.relation.ispartof | IEEE Transactions on Sustainable Energy | - |
dc.rights | ©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Contingency analysis | - |
dc.subject | dc power flow | - |
dc.subject | optimal power flow | - |
dc.subject | power system flexibility | - |
dc.subject | robust optimization | - |
dc.title | Quantification of Intra-hour Security-constrained Flexibility Region | - |
dc.type | Article | - |
dc.identifier.email | Qin, Z: zjqin@eee.hku.hk | - |
dc.identifier.email | Hou, Y: yhhou@eee.hku.hk | - |
dc.identifier.authority | Hou, Y=rp00069 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1109/TSTE.2016.2615055 | - |
dc.identifier.scopus | eid_2-s2.0-85019175305 | - |
dc.identifier.hkuros | 270774 | - |
dc.identifier.volume | 8 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 671 | - |
dc.identifier.epage | 684 | - |
dc.identifier.isi | WOS:000398910000022 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1949-3029 | - |