Implementation of a dynamic energy management system using real time pricing and local renewable energy generation forecasts

Onur Elma, Akın Taşcıkaraoğlu, A. Tahir İnce and Uğur S. Selamoğulları

Energy, 2017, vol. 134, issue C, 206-220

Abstract: The advanced communication and control technologies in smart grids enable end users to actively participate in balancing supply and demand in response to electricity tariff changes by controlling their electricity consumption through demand response (DR) programs. In order to further exploit the cost-saving potential in residential houses, home energy management (HEM) systems have gained increasing interest, particularly in the last decade. HEM system basically focuses on the control of home appliances to reduce their electricity usage or to shift the operations of predefined appliances to the periods with lower prices. However, the integration of local renewable generation units to the residential houses considerably complicates the tasks of HEM systems. This study, therefore, proposes a novel dynamic HEM approach capable of integrating both load and source side dynamics into decision-making process. In the new HEM approach, power consumption of appliances, electricity tariff and power from renewable sources are dynamically taken into account with a 5-min time step. A forecasting model is incorporated into the HEM system for better matching of energy consumption to renewable energy generation. The simulation and experimental results show that the proposed HEM system considerably improves cost savings for residential prosumers and can be implemented in real-world applications.

Keywords: Home energy management; Renewable energy forecasting; Dynamic control; Real-time pricing; Smart grid (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544217310034
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:134:y:2017:i:c:p:206-220

DOI: 10.1016/j.energy.2017.06.011

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().