TY - JOUR
T1 - Incentive-based coordination mechanism for distributed operation of integrated electricity and heat systems
AU - Zheng, Weiye
AU - Hill, David J.
N1 - Funding Information:
This work is supported in part by Research Grants Council of the Hong Kong Special Administrative Region under General Research Fund through Project No. 17209419, and in part by Project SKLD20M06 supported by State Key Laboratory of Power System and Generation Equipment.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/3/1
Y1 - 2021/3/1
N2 - Pipeline energy storage in district heating networks (DHNs) has shown to be capable of improving energy efficiency in an integrated electricity and heat system (IEHS). However, most electric power networks (EPNs) and DHNs are managed by different entities, while the incentives inducing such flexibilities from DHNs have been seldom discussed. This paper fills the research gap by investigating price incentives offered by EPNs to encourage DHN operators to fully utilize pipeline energy storage. Individual interests of EPNs and DHNs are addressed via a bi-level model, where the EPN operator determines the best price incentive based on optimal power flow (OPF) in the upper-level, while the lower-level problem describes the optimal response of the DHN operator based on optimal thermal flow (OTF). To preserve the privacy of DHNs in distributed operation, a reduced and accurate OTF model is then proposed where internal states are eliminated and system parameters are not exposed, which also relieves model complexity. Finally, a price-quantity decomposition method along with warm-start strategies are proposed to solve the reduced bi-level model, and the solution obtained is interpreted as the equilibrium of Stackelberg competition between EPNs and DHNs. Case studies of two IEHSs validate that the proposed decomposition method can efficiently reach Stackelberg equilibrium in a distributed setting, while the introduced incentive-based coordination mechanism can effectively improve social welfare by lowering total costs in both EPNs and DHNs.
AB - Pipeline energy storage in district heating networks (DHNs) has shown to be capable of improving energy efficiency in an integrated electricity and heat system (IEHS). However, most electric power networks (EPNs) and DHNs are managed by different entities, while the incentives inducing such flexibilities from DHNs have been seldom discussed. This paper fills the research gap by investigating price incentives offered by EPNs to encourage DHN operators to fully utilize pipeline energy storage. Individual interests of EPNs and DHNs are addressed via a bi-level model, where the EPN operator determines the best price incentive based on optimal power flow (OPF) in the upper-level, while the lower-level problem describes the optimal response of the DHN operator based on optimal thermal flow (OTF). To preserve the privacy of DHNs in distributed operation, a reduced and accurate OTF model is then proposed where internal states are eliminated and system parameters are not exposed, which also relieves model complexity. Finally, a price-quantity decomposition method along with warm-start strategies are proposed to solve the reduced bi-level model, and the solution obtained is interpreted as the equilibrium of Stackelberg competition between EPNs and DHNs. Case studies of two IEHSs validate that the proposed decomposition method can efficiently reach Stackelberg equilibrium in a distributed setting, while the introduced incentive-based coordination mechanism can effectively improve social welfare by lowering total costs in both EPNs and DHNs.
KW - Combined heat and power generation
KW - Energy storage
KW - Integrated electricity and heat system
KW - Price incentives
KW - Stackelberg competition
UR - http://www.scopus.com/inward/record.url?scp=85099179270&partnerID=8YFLogxK
U2 - 10.1016/j.apenergy.2020.116373
DO - 10.1016/j.apenergy.2020.116373
M3 - Article
AN - SCOPUS:85099179270
SN - 0306-2619
VL - 285
JO - Applied Energy
JF - Applied Energy
M1 - 116373
ER -