Energy Storage in Microgrids: Compensating for Generation and Demand Fluctuations While Providing Ancillary Services
dc.contributor.author | Farrokhabadi, Mostafa | |
dc.contributor.author | Solanki, Bharatkumar V. | |
dc.contributor.author | Canizares, Claudio A. | |
dc.contributor.author | Bhattacharya, Kankar | |
dc.contributor.author | Koenig, Sebastian | |
dc.contributor.author | Sauter, Patrick S. | |
dc.contributor.author | Leibfried, Thomas | |
dc.contributor.author | Hohmann, Soren | |
dc.date.accessioned | 2025-07-02T19:17:47Z | |
dc.date.available | 2025-07-02T19:17:47Z | |
dc.date.issued | 2017-08-16 | |
dc.description | (© 2017 IEEE) Farrokhabadi, M., Solanki, B. V., Canizares, C. A., Bhattacharya, K., Koenig, S., Sauter, P. S., Leibfried, T., & Hohmann, S. (2017). Energy storage in microgrids: Compensating for generation and demand fluctuations while providing ancillary services. IEEE Power and Energy Magazine, 15(5), 81–91. https://doi.org/10.1109/mpe.2017.2708863 | |
dc.description.abstract | Driven by global environmental emission issues, energy access in remote communities, and tighter requirements for system resilience and reliability, electricity production is shifting from a centralized paradigm to a decentralized one. In this context, renewable energy sources (RESs) have proliferated over the past decade, exhibiting a steadily increasing trend. Thus, today, a large number of wind turbines and photovoltaic (PV) panels are connected to medium- (1-69 kV) and low-voltage (=1 kV) grids, with traditional integrated bulk power systems becoming decentralized in the presence of active distribution networks, where the flow of power is bidirectional between generators and "prosumers." In particular, with decreasing RES s costs, these technologies are becoming attractive solutions to bring energy to remote communities and/or replace expensive fossil-fuel-based generators. However, RES s such as wind and solar are intermittent sources of energy, difficult to predict, and prone to large output fluctuations-therefore, significantly affecting system voltage and frequency. | |
dc.identifier.doi | 10.1109/mpe.2017.2708863 | |
dc.identifier.issn | 1540-7977 | |
dc.identifier.uri | https://doi.org/10.1109/MPE.2017.2708863 | |
dc.identifier.uri | https://hdl.handle.net/10012/21942 | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.ispartof | IEEE Power and Energy Magazine | |
dc.relation.ispartofseries | IEEE Power and Energy Magazine; 15(5) | |
dc.subject | distributed computing | |
dc.subject | distribution optimal power flow | |
dc.subject | genetic algorithm | |
dc.subject | real-time application | |
dc.subject | smart grid communication middleware system | |
dc.subject | microgrids | |
dc.subject | batteries | |
dc.subject | resistance heating | |
dc.subject | hydrogen | |
dc.subject | space heating | |
dc.subject | energy storage | |
dc.subject | emissions | |
dc.subject | power generation | |
dc.title | Energy Storage in Microgrids: Compensating for Generation and Demand Fluctuations While Providing Ancillary Services | |
dc.type | Article | |
dcterms.bibliographicCitation | Farrokhabadi, M., Solanki, B. V., Canizares, C. A., Bhattacharya, K., Koenig, S., Sauter, P. S., Leibfried, T., & Hohmann, S. (2017). Energy storage in microgrids: Compensating for generation and demand fluctuations while providing ancillary services. IEEE Power and Energy Magazine, 15(5), 81–91. https://doi.org/10.1109/mpe.2017.2708863 | |
oaire.citation.issue | 5 | |
oaire.citation.volume | 15 | |
uws.contributor.affiliation1 | Faculty of Engineering | |
uws.contributor.affiliation2 | Electrical and Computer Engineering | |
uws.peerReviewStatus | Reviewed | |
uws.scholarLevel | Faculty | |
uws.typeOfResource | Text | en |
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