Abstract
| Original language | English |
|---|---|
| Journal | European Journal of Operational Research |
| Volume | 272 |
| Pages (from-to) | 642–654 |
| ISSN | 0377-2217 |
| DOIs | |
| Publication status | Published - 2019 |
Keywords
- OR in energy
- Integrated energy systems
- Electricity and natural gas markets coordination
- Renewable energy
- Stochastic Programming
Cite this
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An Integrated Market for Electricity and Natural Gas Systems with Stochastic Power Producers. / Ordoudis, Christos; Pinson, Pierre; Morales, Juan M.
In: European Journal of Operational Research, Vol. 272, 2019, p. 642–654.Research output: Contribution to journal › Journal article › Research › peer-review
TY - JOUR
T1 - An Integrated Market for Electricity and Natural Gas Systems with Stochastic Power Producers
AU - Ordoudis, Christos
AU - Pinson, Pierre
AU - Morales, Juan M.
PY - 2019
Y1 - 2019
N2 - In energy systems with high shares of weather-driven renewable power sources, gas-fired power plants can serve as a back-up technology to ensure security of supply and provide short-term flexibility. Therefore, a tighter coordination between electricity and natural gas networks is foreseen. In this work, we examine different levels of coordination in terms of system integration and time coupling of trading floors. We propose an integrated operational model for electricity and natural gas systems under uncertain power supply by applying two-stage stochastic programming. This formulation co-optimizes day-ahead and real-time dispatch of both energy systems and aims at minimizing the total expected cost. Additionally, two deterministic models, one of an integrated energy system and one that treats the two systems independently, are presented. We utilize a formulation that considers the linepack of the natural gas system, while it results in a tractable mixed-integer linear programming (MILP) model. Our analysis demonstrates the effectiveness of the proposed model in accommodating high shares of renewables and the importance of proper natural gas system modeling in short-term operations to reveal valuable flexibility of the natural gas system. Moreover, we identify the coordination parameters between the two markets and show their impact on the system’s operation and dispatch.
AB - In energy systems with high shares of weather-driven renewable power sources, gas-fired power plants can serve as a back-up technology to ensure security of supply and provide short-term flexibility. Therefore, a tighter coordination between electricity and natural gas networks is foreseen. In this work, we examine different levels of coordination in terms of system integration and time coupling of trading floors. We propose an integrated operational model for electricity and natural gas systems under uncertain power supply by applying two-stage stochastic programming. This formulation co-optimizes day-ahead and real-time dispatch of both energy systems and aims at minimizing the total expected cost. Additionally, two deterministic models, one of an integrated energy system and one that treats the two systems independently, are presented. We utilize a formulation that considers the linepack of the natural gas system, while it results in a tractable mixed-integer linear programming (MILP) model. Our analysis demonstrates the effectiveness of the proposed model in accommodating high shares of renewables and the importance of proper natural gas system modeling in short-term operations to reveal valuable flexibility of the natural gas system. Moreover, we identify the coordination parameters between the two markets and show their impact on the system’s operation and dispatch.
KW - OR in energy
KW - Integrated energy systems
KW - Electricity and natural gas markets coordination
KW - Renewable energy
KW - Stochastic Programming
U2 - 10.1016/j.ejor.2018.06.036
DO - 10.1016/j.ejor.2018.06.036
M3 - Journal article
VL - 272
SP - 642
EP - 654
JO - European Journal of Operational Research
JF - European Journal of Operational Research
SN - 0377-2217
ER -