Coupling Pumped Hydro Energy Storage with Unit Commitment

Kenneth Bruninx, Yury Dvorkin, Erik Delarue, Hrvoje Pandzic, William Dhaeseleer, Daniel S. Kirschen

Research output: Contribution to journalArticle

Abstract

Renewable electricity generation not only provides affordable and emission-free electricity but also introduces additional complexity in the day-ahead planning procedure. To address the stochastic nature of renewable generation, system operators must schedule enough controllable generation to have the flexibility required to compensate unavoidable real-time mismatches between the production and consumption of electricity. This flexibility must be scheduled ahead of real-time and comes at a cost, which should be minimized without compromising the operational reliability of the system. Energy storage facilities, such as pumped hydro energy storage (PHES), can respond quickly to mismatches between demand and generation. Hydraulic constraints on the operation of PHES must be taken into account in the day-ahead scheduling problem, which is typically not done in deterministic models. Stochastic optimization enhances the procurement of flexibility, but requires more computational resources than conventional deterministic optimization. This paper proposes a deterministic and an interval unit commitment formulation for the co-optimization of controllable generation and PHES, including a representation of the hydraulic constraints of the PHES. The proposed unit commitment (UC) models are tested against a stochastic UC formulation on a model of the Belgian power system to compare the resulting operational cost, reliability, and computational requirements. The cost-effective regulating capabilities offered by the PHES yield significant operational cost reductions in both models, while the increase in calculation times is limited.

Original languageEnglish (US)
Article number7353197
Pages (from-to)786-796
Number of pages11
JournalIEEE Transactions on Sustainable Energy
Volume7
Issue number2
DOIs
StatePublished - Apr 1 2016

Fingerprint

Energy storage
Electricity
Hydraulics
Costs
Cost reduction
Scheduling
Planning

Keywords

  • Flexibility
  • interval optimization
  • pumped hydro energy storage
  • stochastic optimization
  • unit commitment
  • Wind energy

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Cite this

Bruninx, K., Dvorkin, Y., Delarue, E., Pandzic, H., Dhaeseleer, W., & Kirschen, D. S. (2016). Coupling Pumped Hydro Energy Storage with Unit Commitment. IEEE Transactions on Sustainable Energy, 7(2), 786-796. [7353197]. https://doi.org/10.1109/TSTE.2015.2498555

Coupling Pumped Hydro Energy Storage with Unit Commitment. / Bruninx, Kenneth; Dvorkin, Yury; Delarue, Erik; Pandzic, Hrvoje; Dhaeseleer, William; Kirschen, Daniel S.

In: IEEE Transactions on Sustainable Energy, Vol. 7, No. 2, 7353197, 01.04.2016, p. 786-796.

Research output: Contribution to journalArticle

Bruninx, K, Dvorkin, Y, Delarue, E, Pandzic, H, Dhaeseleer, W & Kirschen, DS 2016, 'Coupling Pumped Hydro Energy Storage with Unit Commitment', IEEE Transactions on Sustainable Energy, vol. 7, no. 2, 7353197, pp. 786-796. https://doi.org/10.1109/TSTE.2015.2498555
Bruninx, Kenneth ; Dvorkin, Yury ; Delarue, Erik ; Pandzic, Hrvoje ; Dhaeseleer, William ; Kirschen, Daniel S. / Coupling Pumped Hydro Energy Storage with Unit Commitment. In: IEEE Transactions on Sustainable Energy. 2016 ; Vol. 7, No. 2. pp. 786-796.
@article{26050bb5486448af83523046c982a00d,
title = "Coupling Pumped Hydro Energy Storage with Unit Commitment",
abstract = "Renewable electricity generation not only provides affordable and emission-free electricity but also introduces additional complexity in the day-ahead planning procedure. To address the stochastic nature of renewable generation, system operators must schedule enough controllable generation to have the flexibility required to compensate unavoidable real-time mismatches between the production and consumption of electricity. This flexibility must be scheduled ahead of real-time and comes at a cost, which should be minimized without compromising the operational reliability of the system. Energy storage facilities, such as pumped hydro energy storage (PHES), can respond quickly to mismatches between demand and generation. Hydraulic constraints on the operation of PHES must be taken into account in the day-ahead scheduling problem, which is typically not done in deterministic models. Stochastic optimization enhances the procurement of flexibility, but requires more computational resources than conventional deterministic optimization. This paper proposes a deterministic and an interval unit commitment formulation for the co-optimization of controllable generation and PHES, including a representation of the hydraulic constraints of the PHES. The proposed unit commitment (UC) models are tested against a stochastic UC formulation on a model of the Belgian power system to compare the resulting operational cost, reliability, and computational requirements. The cost-effective regulating capabilities offered by the PHES yield significant operational cost reductions in both models, while the increase in calculation times is limited.",
keywords = "Flexibility, interval optimization, pumped hydro energy storage, stochastic optimization, unit commitment, Wind energy",
author = "Kenneth Bruninx and Yury Dvorkin and Erik Delarue and Hrvoje Pandzic and William Dhaeseleer and Kirschen, {Daniel S.}",
year = "2016",
month = "4",
day = "1",
doi = "10.1109/TSTE.2015.2498555",
language = "English (US)",
volume = "7",
pages = "786--796",
journal = "IEEE Transactions on Sustainable Energy",
issn = "1949-3029",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

TY - JOUR

T1 - Coupling Pumped Hydro Energy Storage with Unit Commitment

AU - Bruninx, Kenneth

AU - Dvorkin, Yury

AU - Delarue, Erik

AU - Pandzic, Hrvoje

AU - Dhaeseleer, William

AU - Kirschen, Daniel S.

PY - 2016/4/1

Y1 - 2016/4/1

N2 - Renewable electricity generation not only provides affordable and emission-free electricity but also introduces additional complexity in the day-ahead planning procedure. To address the stochastic nature of renewable generation, system operators must schedule enough controllable generation to have the flexibility required to compensate unavoidable real-time mismatches between the production and consumption of electricity. This flexibility must be scheduled ahead of real-time and comes at a cost, which should be minimized without compromising the operational reliability of the system. Energy storage facilities, such as pumped hydro energy storage (PHES), can respond quickly to mismatches between demand and generation. Hydraulic constraints on the operation of PHES must be taken into account in the day-ahead scheduling problem, which is typically not done in deterministic models. Stochastic optimization enhances the procurement of flexibility, but requires more computational resources than conventional deterministic optimization. This paper proposes a deterministic and an interval unit commitment formulation for the co-optimization of controllable generation and PHES, including a representation of the hydraulic constraints of the PHES. The proposed unit commitment (UC) models are tested against a stochastic UC formulation on a model of the Belgian power system to compare the resulting operational cost, reliability, and computational requirements. The cost-effective regulating capabilities offered by the PHES yield significant operational cost reductions in both models, while the increase in calculation times is limited.

AB - Renewable electricity generation not only provides affordable and emission-free electricity but also introduces additional complexity in the day-ahead planning procedure. To address the stochastic nature of renewable generation, system operators must schedule enough controllable generation to have the flexibility required to compensate unavoidable real-time mismatches between the production and consumption of electricity. This flexibility must be scheduled ahead of real-time and comes at a cost, which should be minimized without compromising the operational reliability of the system. Energy storage facilities, such as pumped hydro energy storage (PHES), can respond quickly to mismatches between demand and generation. Hydraulic constraints on the operation of PHES must be taken into account in the day-ahead scheduling problem, which is typically not done in deterministic models. Stochastic optimization enhances the procurement of flexibility, but requires more computational resources than conventional deterministic optimization. This paper proposes a deterministic and an interval unit commitment formulation for the co-optimization of controllable generation and PHES, including a representation of the hydraulic constraints of the PHES. The proposed unit commitment (UC) models are tested against a stochastic UC formulation on a model of the Belgian power system to compare the resulting operational cost, reliability, and computational requirements. The cost-effective regulating capabilities offered by the PHES yield significant operational cost reductions in both models, while the increase in calculation times is limited.

KW - Flexibility

KW - interval optimization

KW - pumped hydro energy storage

KW - stochastic optimization

KW - unit commitment

KW - Wind energy

UR - http://www.scopus.com/inward/record.url?scp=84949947386&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84949947386&partnerID=8YFLogxK

U2 - 10.1109/TSTE.2015.2498555

DO - 10.1109/TSTE.2015.2498555

M3 - Article

VL - 7

SP - 786

EP - 796

JO - IEEE Transactions on Sustainable Energy

JF - IEEE Transactions on Sustainable Energy

SN - 1949-3029

IS - 2

M1 - 7353197

ER -