NDLI: A multi-layered adaptive load management (ALM) system: Information exchange between market participants for efficient and reliable energy use

Content Provider	IEEE Xplore Digital Library
Author	Jhi-Young Joo Ilic, M.D.
Copyright Year	2010
Description	Author affiliation: Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213 USA (Jhi-Young Joo) \|\| Department of Electrical and Computer Engineering and the Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, 15213 USA (Ilic, M.D.)
Abstract	In this paper, we propose a multi-layered adaptive load management (ALM) system capable of integrating large-scale demand response efficiently and reliably. At the tertiary layer, the system/market operator utilizes demand bid curves provided by the load aggregators on behalf of the end-users they serve. This information is processed by the system/market operator together with the bid curves provided by the generators. The information is further used to estimate electricity price and send it to load aggregators. Similarly, at the secondary layer, the load aggregators utilize the demand curves provided to them by the individual end-users. Based on the end-users' requests and the estimated electricity price given by the system/market operator, load aggregators create aggregate demand curves on behalf of all their users, and share them with both the system operator and their own customers. Finally, at the primary layer, individual end-users create their own demand functions while taking into consideration their own needs and preferences. They provide this information to their load aggregator. The proposed ALM system is best implemented online. In this paper, we provide a basic formulation of the multi-layered multi-directional decision making and information exchange in support of the ALM system. We illustrate this process using simple simulations. The proposed ALM can be used to implement demand response for different industry rules, such as fixed rate, time-of-use, and real-time pricing.
Starting Page	1
Ending Page	7
File Size	503283
Page Count	7
File Format	PDF
ISBN	9781424465460
e-ISBN	9781424465484
DOI	10.1109/TDC.2010.5484311
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Load management Load flow control Pricing Adaptive systems Power generation economics Power system simulation Programmable control Adaptive control Power system economics Economic forecasting Adaptive Load Management Demand Function Demand Response Real-Time Pricing Adaptive Load Control
Content Type	Text
Resource Type	Article

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