Network constrained economic dispatch of integrated heat and electricity systems through mixed integer conic programming

This paper proposes an economic dispatch method for an integrated heat and electricity system with respect to network constraints. Network constraints are usually nonlinear and can cause severe difficulties for optimization solvers. Particularly, in a heating network, the mass flow mixing at each no...

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Veröffentlicht in:Energy (Oxford) Jg. 179; S. 464 - 474
Hauptverfasser: Huang, Shaojun, Tang, Weichu, Wu, Qiuwei, Li, Canbing
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 15.07.2019
Elsevier BV
Schlagworte:
case studies
Combined heat and power (CHP)
Commodities trading
Constraint modelling
District heating
District heating network
Economic dispatch
Economic models
Economics
Electricity
Flow profiles
Flow rates
heat
Heat sources
Heating
Integrated energy systems
Integrated heat and electricity system
mass flow
Mass flow rate
Mixed integer
Mixed integer conic programming (MICP)
mixing
Multi-energy systems (MES)
nonlinear models
Nonlinear systems
Nonlinearity
Optimization
Power dispatch
Solvers
temperature
Integrated heat and electricity system
Multi-energy systems (MES)
Mixed integer conic programming (MICP)
Combined heat and power (CHP)
Economic dispatch
District heating network
ISSN:0360-5442, 1873-6785
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Zusammenfassung:This paper proposes an economic dispatch method for an integrated heat and electricity system with respect to network constraints. Network constraints are usually nonlinear and can cause severe difficulties for optimization solvers. Particularly, in a heating network, the mass flow mixing at each node and the pressure and temperature drop along each pipe involve both hydraulic and thermal processes, which can cause high nonlinearity that has not been properly modeled. This paper will firstly model the power and heat network constraints by using a nonlinear model, which is accurate but hard to solve. Then, simplification and convexification will be employed to reform the nonlinear constraints to linear and conic ones. Consequently, the entire economic dispatch problem will be modeled as a mixed integer conic programming problem. Because the proposed model allows for the changes of the mass flow rate and direction, an optimal mass flow profile can be achieved along with the solution of the economic dispatch. Case studies on an integrated district heating and power system with a portfolio of power and heat sources show that the proposed economic dispatch model can handle the complexity of the network constraints and make optimal dispatch plans for multi-energy systems. •An economic dispatch method based on mixed integer conic programming.•A multi-energy system with a portfolio of power and heat sources is modeled.•Varying mass flow rates and directions of district heating systems are modeled.•The model is efficient on both the computation time and the cost saving.•An optimal mass flow profile is shown along with the optimal dispatch results.
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ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2019.05.041