Details
| Original language | English |
|---|---|
| Title of host publication | 6th IEEE International Energy Conference, ENERGYCon 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 580-585 |
| Number of pages | 6 |
| ISBN (electronic) | 9781728129563 |
| Publication status | Published - 28 Sept 2020 |
| Externally published | Yes |
| Event | 6th IEEE International Energy Conference, ENERGYCon 2020 - Virtual, Gammarth, Tunis, Tunisia Duration: 28 Sept 2020 → 1 Oct 2020 |
Publication series
| Name | 6th IEEE International Energy Conference, ENERGYCon 2020 |
|---|
Abstract
Power traders and system operators need to balance the uncertain generation of renewable energy sources by adapting the dispatch of conventional power plants. This poses a challenge to voltage control in power system operation. Accordingly, this paper presents a method to determine voltage magnitude probability densities which are integrated into an optimal reactive power flow to consider an uncertain active power generation. First, the probability densities are determined by Monte Carlo simulations including a unit commitment problem to derive the dispatch of conventional power plants. Second, uncertainty restrictions are used to create soft constraints for the optimal reactive power flow, which mitigates the risk of voltage limit violations. By adapting the soft constraints slack costs, the consideration of uncertainties can be prioritized in relation to other objectives, such as the reduction of active power losses, or reactive power costs.
Keywords
- Optimal reactive power flow, Uncertainty, Voltage control
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
- Engineering(all)
- Mechanical Engineering
- Energy(all)
- Energy Engineering and Power Technology
- Energy(all)
- Renewable Energy, Sustainability and the Environment
Sustainable Development Goals
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6th IEEE International Energy Conference, ENERGYCon 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 580-585 9236597 (6th IEEE International Energy Conference, ENERGYCon 2020).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Voltage control in transmission grids considering uncertainties of renewable energy sources
AU - Knittel, Markus
AU - Majumdar, Neelotpal
AU - Schneider, Maximilian
AU - Thie, Nicolas
AU - Moser, Albert
N1 - Publisher Copyright: © 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/9/28
Y1 - 2020/9/28
N2 - Power traders and system operators need to balance the uncertain generation of renewable energy sources by adapting the dispatch of conventional power plants. This poses a challenge to voltage control in power system operation. Accordingly, this paper presents a method to determine voltage magnitude probability densities which are integrated into an optimal reactive power flow to consider an uncertain active power generation. First, the probability densities are determined by Monte Carlo simulations including a unit commitment problem to derive the dispatch of conventional power plants. Second, uncertainty restrictions are used to create soft constraints for the optimal reactive power flow, which mitigates the risk of voltage limit violations. By adapting the soft constraints slack costs, the consideration of uncertainties can be prioritized in relation to other objectives, such as the reduction of active power losses, or reactive power costs.
AB - Power traders and system operators need to balance the uncertain generation of renewable energy sources by adapting the dispatch of conventional power plants. This poses a challenge to voltage control in power system operation. Accordingly, this paper presents a method to determine voltage magnitude probability densities which are integrated into an optimal reactive power flow to consider an uncertain active power generation. First, the probability densities are determined by Monte Carlo simulations including a unit commitment problem to derive the dispatch of conventional power plants. Second, uncertainty restrictions are used to create soft constraints for the optimal reactive power flow, which mitigates the risk of voltage limit violations. By adapting the soft constraints slack costs, the consideration of uncertainties can be prioritized in relation to other objectives, such as the reduction of active power losses, or reactive power costs.
KW - Optimal reactive power flow
KW - Uncertainty
KW - Voltage control
UR - http://www.scopus.com/inward/record.url?scp=85097190362&partnerID=8YFLogxK
U2 - 10.1109/energycon48941.2020.9236597
DO - 10.1109/energycon48941.2020.9236597
M3 - Conference contribution
AN - SCOPUS:85097190362
T3 - 6th IEEE International Energy Conference, ENERGYCon 2020
SP - 580
EP - 585
BT - 6th IEEE International Energy Conference, ENERGYCon 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Energy Conference, ENERGYCon 2020
Y2 - 28 September 2020 through 1 October 2020
ER -