Probabilistic operational planning using dynamic programming with time-domain simulations-Reference-Cited by-同舟云学术

Probabilistic operational planning using dynamic programming with time-domain simulations

Published:2022-10 Issue: Volume:211 Page:108379
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Bødal Espen Flo^ORCID,Jakobsen Sigurd Hofsmo,Gjerde Oddbjørn

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference22 articles.

1. M. Rekinger, M. Hofmann, A. Chaouachi, E. Karangelos, L. Wehenkel, G. Kjølle, D9.2: A Transition Roadmap Towards Probabilistic Reliability Management, Report, 2017, http://www.garpur-project.eu/deliverables.

2. Probabilistic security assessment for power system operations;McCalley,2004

3. Utility experience performing probabilistic risk assessment for operational planning;Zhang,2007

4. Comparison of risk-based and deterministic security assessments;Kirschen;IET Gener. Transm. Distrib.,2007

5. Decision support for network operation in an open power market;Warland;Eur. Trans. Electr. Power,2007

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2. Solving Security-Constrained Optimal Power Flow Using Analytical Benders' Cuts;2023 International Conference on Smart Energy Systems and Technologies (SEST);2023-09-04

3. Graph Convolutional Networks for probabilistic power system operational planning;2023 IEEE Belgrade PowerTech;2023-06-25