Novel Control Approaches for Demand Response With Real-Time Pricing Using Parallel and Distributed Consensus-Based ADMM

This paper studies the automated demand response (DR) problem in smart grids equipped with information and communication technology networks, where power generating and consuming units can exchange information as a multiagent system (MAS), and a real-time pricing (RTP) scheme is proposed. When the c...

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Vydáno v:IEEE transactions on industrial electronics (1982) Ročník 66; číslo 10; s. 7935 - 7945
Hlavní autoři: Nguyen, Dinh Hoa, Azuma, Shun-Ichi, Sugie, Toshiharu
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.10.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Alternating direction method of multipliers (ADMM)
Communication
communication failure
Computer simulation
Cybersecurity
demand response (DR)
Graph theory
Indexes
Load management
mixed communication-broadcast
Multi-agent systems
multiagent system (MAS)
Multiagent systems
parallel and distributed algorithms
Power consumption
Pricing
Real time
Real-time systems
Smart grid
Smart grids
Time of use electricity pricing
Uncertainty
ISSN:0278-0046, 1557-9948
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Shrnutí:This paper studies the automated demand response (DR) problem in smart grids equipped with information and communication technology networks, where power generating and consuming units can exchange information as a multiagent system (MAS), and a real-time pricing (RTP) scheme is proposed. When the communication graph among agents is connected, a novel parallel and distributed consensus-based algorithm is proposed to derive an RTP scheme to facilitate DR, and when communication uncertainties exist, a robust consensus algorithm is proposed to cease the effect of uncertainties. Next, this paper proposes a novel control mechanism to tackle the problem of disconnected communication among agents, e.g., under cyber-attacks, by employing the so-called mixed communication-broadcast control architecture where the underlying ideas are twofold. First, each area in the grid associated with a connected subgraph is controlled by a MAS to guarantee the power balance and to reach consensus on the local electric price for that area. Second, a supervisory unit observes those local electric prices to calculate the global electric price for the whole grid and then broadcasts to all units so that they can properly adjust their output powers. Simulations are carried out on the IEEE 39-bus system to validate the proposed control mechanisms.
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ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2018.2881938