11.1.1 Agent-Based Modeling for Smart Grid: Application to Consumer Reaction to Demand Response

2012 ◽  
Vol 22 (1) ◽  
pp. 1559-1572 ◽  
Author(s):  
Jung-Ho Lewe ◽  
Michael Z. Miller ◽  
Kristin M. Kelly
Keyword(s):  
Smart Grid ◽  
Demand Response ◽  
Agent Based Modeling ◽  
Agent Based ◽  
Consumer Reaction ◽  
Grid Application

Agent-Based Modeling of Peer-to-Peer Energy Trading in a Smart Grid Environment

2021 ◽  
Author(s):  
Diogo V. Guimaraes ◽  
Matthew B Gough ◽  
Sergio F. Santos ◽  
Ines F.G. Reis ◽  
Juan M. Home-Ortiz ◽  
...  
Keyword(s):  
Smart Grid ◽  
Peer To Peer ◽  
Agent Based Modeling ◽  
Grid Environment ◽  
Energy Trading ◽  
Agent Based

Emergent Behavior in a Population of Thermostatically Controlled Loads With Peer-to-Peer Communication

2019 ◽  
Author(s):  
Ryan Schwartz ◽  
John F. Gardner
Keyword(s):  
Demand Response ◽  
Air Conditioning ◽  
Large Scale ◽  
Large Population ◽  
Agent Based Modeling ◽  
Emergent Behavior ◽  
Peer Communication ◽  
Agent Based ◽  
Thermostatically Controlled Loads ◽  
Residential Air Conditioning

Abstract Thermostatically controlled loads (TCLs) are often considered as a possible resource for demand response (DR) events. However, it is well understood that coordinated control of a large population of previously un-coordinated TCLs may result in load synchronization that results in higher peaks and large uncontrolled swings in aggregate load. In this paper we use agent based modeling to simulate a number of residential air conditioning loads and allow each to communicate a limited amount of information with their nearest neighbors. As a result, we document emergent behavior of this large scale, distributed and nonlinear system. Using the techniques described here, the population of TCLs experienced up to a 30% reduction in peak demand following the DR event. This behavior is shown to be beneficial to the goals of balancing the grid and integrating increasing penetration of variable generators.

scholarly journals Agent-Based Modeling of Retail Electrical Energy Markets With Demand Response

2018 ◽  
Vol 9 (4) ◽  
pp. 3465-3475 ◽  
Author(s):  
Kaveh Dehghanpour ◽  
M. Hashem Nehrir ◽  
John W. Sheppard ◽  
Nathan C. Kelly
Keyword(s):  
Demand Response ◽  
Electrical Energy ◽  
Energy Markets ◽  
Agent Based Modeling ◽  
Agent Based
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