Practical approximations and heuristic approaches for managing shiftable loads in the multi-period optimal power flow framework
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The MILP formulation used is three-phase unbalanced, which gives a better distribution system representation than balanced models while remaining computationally tractable.
“The MILP formulation used is three-phase unbalanced, which gives a better distribution system representation than balanced models (like [11], [28]), while it is still”
From Congestion mitigation in unbalanced residential networks with OPF-based demand management (2022) · cites this paper as [28]
References [11] and [28] rely on balanced power flow equations, whereas the distribution system is unbalanced.
“References [11], [28] rely on balanced power flow equations, whereas the distribution system is unbalanced”
From Congestion mitigation in unbalanced residential networks with OPF-based demand management (2022) · cites this paper as [28]
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- Authors
- Avramidis, I.-I., Capitanescu, F., & Deconinck, G.
- Affiliations
- Luxembourg Institute of Science and Technology (LU)
- KU Leuven (BE)
- Corresponding author
- Capitanescu, Florin
- Venue
- Electric Power Systems Research
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 190
- Pages
- 106864
- ISSN
- 0378-7796 (ISSN-L)
- OpenAlex
- W3087930010
- Cited by
- 9
- References
- 26
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 1 · 2021: 5 · 2020: 1
- FWCI
- 0.69
- Type
- journal article
- Language
- en
- Open access
- green
- lirias.kuleuven.be
- Licence
- Locations
- Electric Power Systems Research (publishedVersion)
- Lirias (KU Leuven) (submittedVersion, other-oa)
- Funders
- Fonds National de la Recherche Luxembourg (C18/SR/12676686)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- shiftable loads, multi-period optimal power flow, smart buildings, distribution system flexibility, heuristic algorithms, active distribution networks, load shifting, solution quality comparison
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