TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Rongstock, Ruben
A1  - Pfeiffer, Daniel
A1  - Toradmal, Ajit
A1  - Frank, Heinz
A1  - Binder, Jann
A1  - Becker, Martin
A1  - Thomas, Bernd
A1  - Widmann, Christine
T1  - District energy system optimisation and communication: a two-level approach
T2  - 2018 53rd International Universities Power Engineering Conference (UPEC), 4th-7th September 2018, Glasgow, United Kingdom : proceedings
N2  - This article presents a two-level optimisation approach for the management of controllable and distributed converters with storage systems across different energy sectors. It aims at the reduction of electrical peak load and at the economical optimisation of the electrical energy exchange with the grid, based on a dynamic external incentive, e.g. through dynamic energy price tariffs. By means of a secure, standardised and lean communication with two different internal price signals, an optimal flexibility provision shall be achieved. The two-level optimisation approach consists of a centralised and several distributed decentralised entities. At the centralised level, the distributed flexibilities are invoked for optimal scheduling on the basis of an internal price algorithm for stimulating the decentralised entities. Based on that internal incentive and on the expected demands for electricity, heating and cooling, the decentralised optimisation algorithms provide optimal generation schedules for the energy converters. The suggested interaction between the central and decentral entities is successfully tested and the principle potential for peak shaving and the adaption to dynamic energy-related market prices could be demonstrated and compared to different energy management strategies such as the standard heat-led operation. Further, variations of the system parameters such as load shifting potential, installed capacity and system diversification are evaluated against cost saving potential for the energy supply and overall system performance.
KW  - decentralised systems
KW  - distributed optimisation
KW  - distributed simulation
KW  - energy management
KW  - flexibility
KW  - internal price signals
KW  - open standard communication protocol
KW  - peak shaving
Y1  - 2018
SN  - 978-1-5386-2910-9
SB  - 978-1-5386-2910-9
U6  - https://doi.org/10.1109/UPEC.2018.8541932
DO  - https://doi.org/10.1109/UPEC.2018.8541932
SP  - 6
S1  - 6
PB  - IEEE
CY  - Piscataway, NJ
ER  -