Design and Cosimulation of Hierarchical Architecture for Demand Response Control and Coordination

Journal Article · Wed Dec 07 04:00:00 EST 2016 · IEEE Transactions on Industrial Informatics

DOI:https://doi.org/10.1109/TII.2016.2634582· OSTI ID:1367538

Bhattarai, Bishnu P. ^[1]; Levesque, Martin ^[2]; Bak-Jensen, Birgitte ^[3]; Pillai, Jaykrishnan R. ^[3]; Maier, Martin ^[4]; Tipper, David ^[2]; Myers, Kurt S. ^[1]

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1. Idaho National Lab. (INL), Idaho Falls, ID (United States)
2. Univ. of Pittsburgh, PA (United States)
3. Aalborg Univ. (Denmark)
4. National Inst. of Scientific Research (INRS), Montreal, QC (Canada)

Demand response (DR) plays a key role for optimum asset utilization and to avoid or delay the need of new infrastructure investment. However, coordinated execution of multiple DRs is desired to maximize the DR benefits. In this paper, we propose a hierarchical DR architecture (HDRA) to control and coordinate the performance of various DR categories such that the operation of every DR category is backed-up by time delayed action of the others. A reliable, cost-effective communication infrastructure based on ZigBee, WiMAX, and fibers is designed to facilitate the HDRA execution. The performance of the proposed HDRA is demonstrated from the power system and communication perspectives in a cosimulation environment applied to a 0.4 kV/400 kVA real distribution network considering electric vehicles as a potential DR resource (DRR). The power simulation is performed employing a real time digital simulator whereas the communication simulation is performed using OMNeT++. Finally, the HDRA performance demonstrated the maximum utilization of available DR potential by facilitating simultaneous execution of multiple DRs and enabling participation of single DRR for multiple grid applications.

• Research Organization: Idaho National Lab. (INL), Idaho Falls, ID (United States)
• Sponsoring Organization: USDOE; INL Laboratory Directed Research and Development (LDRD) Program
• Grant/Contract Number: AC07-05ID14517
• OSTI ID: 1367538
• Report Number(s): INL/JOU--16-39167
• Journal Information: IEEE Transactions on Industrial Informatics, Journal Name: IEEE Transactions on Industrial Informatics Journal Issue: 4 Vol. 13; ISSN 1551-3203
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
cosimulation
demand dispatch
demand response
demand side management
digital simulation
electric potential
electric vehicles
energy management
frequency control
hierarchical control
informatics
load management
optical fibre communication
picture archiving and communication systems
power distribution control
real-time systems
reliability
time factors