Abstract
In this paper we introduce a continuous time multi stage stochastic optimization for scheduling generating units, their commitment, reserve capacities and their continuous time generation profiles in the day-ahead wholesale electricity market. Our formulation approximates the solution of a variational problem, in which the balance, generation capacity and ramping constraints are in continuous time. Due to the greater accuracy of our representation of ramping events this approach improves the system reliability and lowers the real-time cost.
| Original language | English (US) |
|---|---|
| Title of host publication | 20th Power Systems Computation Conference, PSCC 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Print) | 9781910963104 |
| DOIs | |
| State | Published - Aug 20 2018 |
| Event | 20th Power Systems Computation Conference, PSCC 2018 - Dublin, Ireland Duration: Jun 11 2018 → Jun 15 2018 |
Other
| Other | 20th Power Systems Computation Conference, PSCC 2018 |
|---|---|
| Country | Ireland |
| City | Dublin |
| Period | 6/11/18 → 6/15/18 |
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Keywords
- Continuous time unit commitment
- Multistage stochastic programming
- Stochastic unit commitment
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Computer Networks and Communications
- Safety, Risk, Reliability and Quality
Cite this
Continuous time multi-stage stochastic reserve and unit commitment. / Hreinsson, Kari; Analui, Bita; Scaglione, Anna.
20th Power Systems Computation Conference, PSCC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8442490.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Continuous time multi-stage stochastic reserve and unit commitment
AU - Hreinsson, Kari
AU - Analui, Bita
AU - Scaglione, Anna
PY - 2018/8/20
Y1 - 2018/8/20
N2 - In this paper we introduce a continuous time multi stage stochastic optimization for scheduling generating units, their commitment, reserve capacities and their continuous time generation profiles in the day-ahead wholesale electricity market. Our formulation approximates the solution of a variational problem, in which the balance, generation capacity and ramping constraints are in continuous time. Due to the greater accuracy of our representation of ramping events this approach improves the system reliability and lowers the real-time cost.
AB - In this paper we introduce a continuous time multi stage stochastic optimization for scheduling generating units, their commitment, reserve capacities and their continuous time generation profiles in the day-ahead wholesale electricity market. Our formulation approximates the solution of a variational problem, in which the balance, generation capacity and ramping constraints are in continuous time. Due to the greater accuracy of our representation of ramping events this approach improves the system reliability and lowers the real-time cost.
KW - Continuous time unit commitment
KW - Multistage stochastic programming
KW - Stochastic unit commitment
UR - http://www.scopus.com/inward/record.url?scp=85054020000&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85054020000&partnerID=8YFLogxK
U2 - 10.23919/PSCC.2018.8442490
DO - 10.23919/PSCC.2018.8442490
M3 - Conference contribution
AN - SCOPUS:85054020000
SN - 9781910963104
BT - 20th Power Systems Computation Conference, PSCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -