Abstract
In this paper a novel generalised modelling framework for multi-energy systems containing storage elements is combined with a multi-objective model predictive control. The control objective is to both minimise the economic cost of
importing energy into the system as well as providing the service of smoothing the profile of the electrical energy imported thus levelling the load and reducing peak demand. The capabilities of the approach are demonstrated by its application to a
representative case study based on two buildings at the University of Manchester and desirable control responses can be observed in the results.
importing energy into the system as well as providing the service of smoothing the profile of the electrical energy imported thus levelling the load and reducing peak demand. The capabilities of the approach are demonstrated by its application to a
representative case study based on two buildings at the University of Manchester and desirable control responses can be observed in the results.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) |
| Publication status | Accepted/In press - 21 May 2018 |
Keywords
- multi-energy systems
- model predictive control
- peak shaving
- load levelling