TY - GEN
T1 - Coordinated Storage and Flexible Loads as a Network Service Provider: A Resilience-Oriented Paradigm
AU - Habibi, Mahdi
AU - Vahidinasab, Vahid
AU - Allahham, Adib
AU - Giaouris, Damian
AU - Walker, Sara
AU - Taylor, Phil
PY - 2019/6/1
Y1 - 2019/6/1
N2 - 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.
AB - 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.
KW - coordinated ESSs and flexible loads
KW - Multi-time scale scheduling
KW - Network Service provider
KW - Resilience
KW - stochastic unit commitment
KW - wind energy fluctuations
U2 - 10.1109/ISIE.2019.8781282
DO - 10.1109/ISIE.2019.8781282
M3 - Chapter in a published conference proceeding
T3 - IEEE International Symposium on Industrial Electronics
SP - 58
EP - 63
BT - Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
PB - IEEE
CY - United States
T2 - 28th IEEE International Symposium on Industrial Electronics
Y2 - 12 June 2019 through 14 June 2019
ER -