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District energy system optimisation and communication: a two-level approach

  • 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.

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Author of HS ReutlingenToradmal, Ajit; Thomas, Bernd; Widmann, Christine
Erschienen in:2018 53rd International Universities Power Engineering Conference (UPEC), 4th-7th September 2018, Glasgow, United Kingdom : proceedings
Place of publication:Piscataway, NJ
Document Type:Conference proceeding
Publication year:2018
Tag:decentralised systems; distributed optimisation; distributed simulation; energy management; flexibility; internal price signals; open standard communication protocol; peak shaving
Page Number:6
DDC classes:620 Ingenieurwissenschaften und Maschinenbau
Open access?:Nein
Licence (German):License Logo  In Copyright - Urheberrechtlich geschützt