Optimization of pumped hydro energy storage systems under uncertainty: A review
buir.contributor.author | Nadar, Emre | |
buir.contributor.author | Kocaman, Ayşe Selin | |
buir.contributor.orcid | Nadar, Emre|0000-0002-9904-4243 | |
buir.contributor.orcid | Kocaman, Ayşe Selin|0000-0001-8345-5999 | |
dc.citation.epage | 109306-17 | en_US |
dc.citation.issueNumber | Part D | |
dc.citation.spage | 109306-1 | |
dc.citation.volumeNumber | 73 | |
dc.contributor.author | Toufani, P. | |
dc.contributor.author | Karakoyun, E. Ç. | |
dc.contributor.author | Nadar, Emre | |
dc.contributor.author | Fasso, O. B. | |
dc.contributor.author | Kocaman, Ayşe Selin | |
dc.date.accessioned | 2024-03-12T10:10:17Z | |
dc.date.available | 2024-03-12T10:10:17Z | |
dc.date.issued | 2023-12-20 | |
dc.department | Department of Industrial Engineering | |
dc.description.abstract | This paper provides an overview of the research dealing with optimization of pumped hydro energy storage (PHES) systems under uncertainty. This overview can potentially stimulate the scientific community’s interest and facilitate future research on this topic. We review the literature from various perspectives, including the optimization problem type, objective function, physical characteristics of the PHES facility, paradigm used to capture uncertainty, and solution method adopted. We then identify several research gaps and future research directions for energy researchers. This review highlights the need for developing optimization models such as Markov decision processes that can represent uncertainties in renewable energy sources and electricity markets more accurately, constructing multi-objective models that consider not only economic but also environmental impacts, investigating underrepresented solar-PHES systems and PHES sizing problems, addressing nonlinear characteristics of PHES facilities, and optimizing bidding strategies in sequential or coordinated electricity markets. | |
dc.description.provenance | Made available in DSpace on 2024-03-12T10:10:17Z (GMT). No. of bitstreams: 1 Optimizing_pumped_storage_power_station_operation_for_2024_Energy-Conversio.pdf: 3006121 bytes, checksum: aac6948294e42d467210fd84dc64947e (MD5) Previous issue date: 2023-12-20 | en |
dc.embargo.release | 2025-12-20 | |
dc.identifier.doi | 10.1016/j.est.2023.109306 | |
dc.identifier.eissn | 2352-1538 | |
dc.identifier.issn | 2352-152X | |
dc.identifier.uri | https://hdl.handle.net/11693/114570 | |
dc.language.iso | en | |
dc.publisher | Elsevier | |
dc.relation.isversionof | https://doi.org/10.1016/j.est.2023.109306 | |
dc.source.title | Journal of Energy Storage | |
dc.subject | Pumped hydro energy storage | |
dc.subject | Uncertainty | |
dc.subject | Optimization | |
dc.subject | Stochastic programming | |
dc.subject | Markov decision processes | |
dc.subject | Heuristic | |
dc.title | Optimization of pumped hydro energy storage systems under uncertainty: A review | |
dc.type | Book |
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