Abstract
A resilience-oriented operation multi-time scale scheduling is proposed in this paper that deploys a coordinated storage and flexible loads (CSFLs) structure to act as a network service provider (NSP). The proposed proactive operation strategy can deal not only with intermittent wind generations in hourly operation but also with load supplying resilience for the sub-hourly variations. The energy storage systems (ESSs) can retain the state of charge (SoC) during the sub-hourly fine-tuning periods to supply critical loads for predefined time intervals. In this regard, by integrating the so-called NSPs into a stochastic unit commitment model, the advent-ages of ESSs and flexible loads (FLs) are taken to enrich the short-term scheduling for the different time resolutions. The proposed model is tested by the IEEE RTS-24 standard network. The results show that NSPs can successfully participate in providing coordinated ancillary services in different time-scales, and concurrently by support of FLs, the ESSs proactive role is also retained. The usage of CSFLs reduces the curtailment of wind energy, while they provide a large portion of reserves for the possible fluctuations.
Original language | English |
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Title of host publication | Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019 |
Pages | 58-63 |
Number of pages | 6 |
ISBN (Electronic) | 9781728136660 |
DOIs | |
Publication status | Published - 14 Jun 2019 |
Event | 28th IEEE International Symposium on Industrial Electronics, ISIE 2019 - Vancouver, Canada Duration: 12 Jun 2019 → 14 Jun 2019 |
Publication series
Name | IEEE International Symposium on Industrial Electronics |
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Publisher | IEEE |
Volume | 2019-June |
ISSN (Print) | 2163-5137 |
ISSN (Electronic) | 2163-5145 |
Conference
Conference | 28th IEEE International Symposium on Industrial Electronics, ISIE 2019 |
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Country/Territory | Canada |
City | Vancouver |
Period | 12/06/19 → 14/06/19 |
Funding
ACKNOWLEDGMENT This work has received funding from the European Union’s H2020 research and innovation programme under the grant agreement No 731268. Also, the authors acknowledge this work was partly supported by the EPSRC Supergen Energy Networks Hub, grant reference EP/S00078X/1.
Keywords
- coordinated ESSs and flexible loads
- multi-time scale scheduling
- network Service provider
- resilience
- stochastic unit commitment
- wind energy fluctuations
- load modeling
- wind power generation
- uncertainty
- fluctuations
- energy storage