Please use this identifier to cite or link to this item:
Title: Real-time decision making model for thermostatically controlled load aggregators by natural aggregation algorithm
Authors: Li, CX
Chen, YY
Luo, FJ
Xu, Z 
Zheng, Y
Keywords: Thermostatically controlled load
Natural aggregation algorithm
Demand response
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers
Source: 1st IEEE International Conference on Energy Internet (ICEI), Beijing, People's Republic of China, Apr 17-21, 2017, p. 279-284 How to cite?
Abstract: With the development of Building-to-Grid (B2G) technology, Thermostatically Controlled Loads (TCLs) have been receiving increasing attention because promising candidates for Demand Response (DR) programs. This paper studies real-time operation schemes of TCL aggregators in the power market. The contribution of this paper is to consider TCL aggregators as bidding players participating in the day-ahead market, unlike existing works which often treat TCL aggregators as ancillary service providers. We investigate the real-time operations of TCL aggregators after the determinations of day-ahead load shedding volumes. The proposed model aims to minimize the operation costs of the TCL aggregator in the real-time regulation market. A Rolling Horizon Optimization (RHO) technique is utilized to mitigate the impacts of forecasting errors. And a new metaheuristic algorithm, i.e. Natural Aggregation Algorithm (NAA), is applied here to solve the proposed model. Experiments are conducted to validate the proposed method.
ISBN: 978-1-5090-5759-7
DOI: 10.1109/ICEI.2017.56
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.