Back to results list
Please use this identifier to cite or link to this item:
|Title:||Optimal power demand management for cluster-level commercial buildings using the game theoretic method||Authors:||Tang, R
|Keywords:||Building demand response
|Issue Date:||2019||Publisher:||Elsevier||Source:||Energy procedia, 2019, v. 159, p. 186-191 How to cite?||Journal:||Energy procedia||Abstract:||Power demand management, particularly demand response controls, is the effort from the demand side to help the supply side management for helping maintain grid balance and also bring the economic benefits for building owners. Most of building demand management and demand response control strategies for commercial buildings only focus on a single building. However, as for the cluster-level buildings, which are sometimes involved in an account for electricity charge and also the main concern of smart grids, such conventional individual-level control strategies will not be effective. A game theory-based decentralized control strategy is therefore developed for cluster-level building demand management by simultaneously optimizing the indoor air temperature set-point and the operation of active thermal storage. Without gathering all the required information of buildings to a central optimization system, the cluster-level building demand management can be realized in a decentralized way. Case studies are conducted and results show that the proposed decentralized control strategy can increase the peak demand reduction, over two times than that when the demand management of buildings is conducted in an uncoordinated mode. Meanwhile, the performance of the proposed decentralized control strategy is closely approached to the results that are optimized in a centralized mode.||Description:||2018 Renewable Energy Integration with Mini/Microgrid, REM 2018, Greece, 28-30 September 2018||URI:||http://hdl.handle.net/10397/80882||EISSN:||1876-6102||DOI:||10.1016/j.egypro.2018.12.049||Rights:||© 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Selection and peer-review under responsibility of the scientific committee of the Applied Energy Symposium and Forum, Renewable Energy Integration with Mini/Microgrides, REM 2018.
The following publication Tang, R., Wang, S., & Wang, H. (2019). Optimal power demand management for cluster-level commercial buildings using the game theoretic method. Energy Procedia, 159, 186-191 is available at https://doi.org/10.1016/j.egypro.2018.12.049
|Appears in Collections:||Conference Paper|
Show full item record
Files in This Item:
|Tang_Optimal_power_demand.pdf||597 kB||Adobe PDF||View/Open|
Citations as of Aug 21, 2019
Citations as of Aug 21, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.