TY - GEN
T1 - Power systems flexibility from district heating networks
AU - Mitridati, Lesia
AU - Taylor, Josh A.
N1 - Publisher Copyright:
© 2018 Power Systems Computation Conference.
PY - 2018/8/20
Y1 - 2018/8/20
N2 - Coupling heat and electricity systems can improve the overall flexibility of the energy system and facilitate the large-scale penetration of renewable energy sources. In order to optimally exploit the operational flexibility of District Heating Networks (DHN), we introduce a novel mixed integer nonlinear formulation of the combined heat and power dispatch, accounting for pipeline energy storage. To cope with the non-convexities and computational complexity of this model we propose mixed integer convex quadratic and mixed integer linear relaxations. The proposed model is implemented on a six-bus electricity and three-node district heating network and compared to a conventional economic dispatch model, in order to evaluate the impact of the DHN on the power system.
AB - Coupling heat and electricity systems can improve the overall flexibility of the energy system and facilitate the large-scale penetration of renewable energy sources. In order to optimally exploit the operational flexibility of District Heating Networks (DHN), we introduce a novel mixed integer nonlinear formulation of the combined heat and power dispatch, accounting for pipeline energy storage. To cope with the non-convexities and computational complexity of this model we propose mixed integer convex quadratic and mixed integer linear relaxations. The proposed model is implemented on a six-bus electricity and three-node district heating network and compared to a conventional economic dispatch model, in order to evaluate the impact of the DHN on the power system.
KW - Convex relaxation
KW - Integrated energy systems
KW - Mixed integer linear programming
KW - Mixed integer second order cone programming
KW - Power system flexibility
UR - http://www.scopus.com/inward/record.url?scp=85054030627&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85054030627&partnerID=8YFLogxK
U2 - 10.23919/PSCC.2018.8442617
DO - 10.23919/PSCC.2018.8442617
M3 - Conference contribution
AN - SCOPUS:85054030627
SN - 9781910963104
T3 - 20th Power Systems Computation Conference, PSCC 2018
BT - 20th Power Systems Computation Conference, PSCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th Power Systems Computation Conference, PSCC 2018
Y2 - 11 June 2018 through 15 June 2018
ER -