File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/TPWRS.2022.3184705
- Scopus: eid_2-s2.0-85133753772
- WOS: WOS:000980444400066
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Stochastic Wind Farm Expansion Planning With Decision-Dependent Uncertainty Under Spatial Smoothing Effect
Title | Stochastic Wind Farm Expansion Planning With Decision-Dependent Uncertainty Under Spatial Smoothing Effect |
---|---|
Authors | |
Keywords | Benders decomposition decision-dependent uncertainty iterative solution method Optimization Planning point estimate method Smoothing methods Stochastic processes Uncertainty wind farm expansion planning Wind farms Wind power generation |
Issue Date | 1-May-2023 |
Publisher | Institute of Electrical and Electronics Engineers |
Citation | IEEE Transactions on Power Systems, 2023, v. 38, n. 3, p. 2845-2857 How to Cite? |
Abstract | The global experience on wind farm development reveals that the wind power uncertainty is affected by large-scale wind farm sizes due to the spatial smoothing effect. The dependence on wind farm sizes features the wind power uncertainty as decision-dependent uncertainty (DDU) during the wind farm expansion process. This paper proposes a stochastic expansion planning model for large-scale wind farms considering the DDU and addresses the coupling relationship between expansion decisions and DDU. Specifically, to explore how the structural features of the expansion model change with DDU in different forms, the proposed expansion model with DDU is established based on Point Estimate Method (PEM). Via the explicit expression between decisions and decision-dependent statistical moments of uncertain parameters in the PEM-based model, an in-depth discussion of model features is implemented. An iterative solution method with convergence analysis is proposed based on the explored model features to tackle the DDU. Besides, a modified Benders decomposition method is adopted in each iteration for the PEM-based two-stage optimization model potentially containing both min-min and min-max terms. The effects of DDU on wind farm expansion schemes are analyzed. Case studies verify the proposed expansion model and the solution method. |
Persistent Identifier | http://hdl.handle.net/10722/338399 |
ISSN | 2021 Impact Factor: 7.326 2020 SCImago Journal Rankings: 3.312 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yin, W | - |
dc.contributor.author | Feng, S | - |
dc.contributor.author | Hou, Y | - |
dc.date.accessioned | 2024-03-11T10:28:33Z | - |
dc.date.available | 2024-03-11T10:28:33Z | - |
dc.date.issued | 2023-05-01 | - |
dc.identifier.citation | IEEE Transactions on Power Systems, 2023, v. 38, n. 3, p. 2845-2857 | - |
dc.identifier.issn | 0885-8950 | - |
dc.identifier.uri | http://hdl.handle.net/10722/338399 | - |
dc.description.abstract | <p>The global experience on wind farm development reveals that the wind power uncertainty is affected by large-scale wind farm sizes due to the spatial smoothing effect. The dependence on wind farm sizes features the wind power uncertainty as decision-dependent uncertainty (DDU) during the wind farm expansion process. This paper proposes a stochastic expansion planning model for large-scale wind farms considering the DDU and addresses the coupling relationship between expansion decisions and DDU. Specifically, to explore how the structural features of the expansion model change with DDU in different forms, the proposed expansion model with DDU is established based on Point Estimate Method (PEM). Via the explicit expression between decisions and decision-dependent statistical moments of uncertain parameters in the PEM-based model, an in-depth discussion of model features is implemented. An iterative solution method with convergence analysis is proposed based on the explored model features to tackle the DDU. Besides, a modified Benders decomposition method is adopted in each iteration for the PEM-based two-stage optimization model potentially containing both min-min and min-max terms. The effects of DDU on wind farm expansion schemes are analyzed. Case studies verify the proposed expansion model and the solution method.</p> | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.relation.ispartof | IEEE Transactions on Power Systems | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Benders decomposition | - |
dc.subject | decision-dependent uncertainty | - |
dc.subject | iterative solution method | - |
dc.subject | Optimization | - |
dc.subject | Planning | - |
dc.subject | point estimate method | - |
dc.subject | Smoothing methods | - |
dc.subject | Stochastic processes | - |
dc.subject | Uncertainty | - |
dc.subject | wind farm expansion planning | - |
dc.subject | Wind farms | - |
dc.subject | Wind power generation | - |
dc.title | Stochastic Wind Farm Expansion Planning With Decision-Dependent Uncertainty Under Spatial Smoothing Effect | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/TPWRS.2022.3184705 | - |
dc.identifier.scopus | eid_2-s2.0-85133753772 | - |
dc.identifier.volume | 38 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 2845 | - |
dc.identifier.epage | 2857 | - |
dc.identifier.eissn | 1558-0679 | - |
dc.identifier.isi | WOS:000980444400066 | - |
dc.identifier.issnl | 0885-8950 | - |