Towards Optimal Load Management with Day Ahead Pricing

Rao, Mannam Rama and Kuri, Joy and Prabhakar, TV (2015) Towards Optimal Load Management with Day Ahead Pricing. In: 7th International Conference on Communication Systems and Networks, JAN 06-10, 2015, Bangalore, INDIA.

PDF IEEE_7th_Int_Con_Com_Sys_Net_2015.pdf - Published Version Restricted to Registered users only Download (1MB) | Request a copy

Abstract

Demand Response is under implementation throughout the globe by many utilities to incorporate the end user as an active player in reducing supply-demand imbalances. Day-ahead pricing is provided as an option to schedule electric loads so as to take advantage of time-varying prices. However, user convenience is also a factor that must be taken into account, as users may be willing to forego some savings to reduce inconvenience. We formulate an optimal scheduling problem considering both aspects. As the search space is exponentially large, we propose two greedy algorithms to find good schedules. To assess performance, we obtain the optimal schedule via Markov Chain Monte Carlo (MCMC) based simulations. We apply the framework to two case studies; one study uses appliance energy profiles obtained by actual measurements using the Joule Jolter, a device designed and developed in-house. Results indicate that the proposed algorithms perform very well, achieving performance within 10% of the optimal.

Item Type:	Conference Proceedings
Series.:	International Conference on Communication Systems and Networks
Additional Information:	Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	25 Aug 2016 05:00
Last Modified:	25 Aug 2016 05:00
URI:	http://eprints.iisc.ac.in/id/eprint/54540

Actions (login required)

View Item