Towards a Design Methodology for Agent-Based Automation of Smart Grid

Author(s):  
Gulnara Zhabelova ◽  
Valeriy Vyatkin
Author(s):  
Ruchi Gupta ◽  
Deependra Kumar Jha ◽  
Vinod Kumar Yadav ◽  
Sanjeev Kumar

Author(s):  
Diogo V. Guimaraes ◽  
Matthew B Gough ◽  
Sergio F. Santos ◽  
Ines F.G. Reis ◽  
Juan M. Home-Ortiz ◽  
...  

2017 ◽  
Vol 23 (1/2) ◽  
pp. 13-27 ◽  
Author(s):  
Iris Lorscheid ◽  
Matthias Meyer

Purpose This study aims to demonstrate how agent-based simulation (ABS) may provide a computational testbed for mechanism design using concepts of bounded rationality (BR). ABS can be used to systematically derive and formalize different models of BR. This allows us to identify the cognitive preconditions for behavior intended by the mechanism and thereby to derive implications for the design of mechanisms. Design/methodology/approach Based on an analysis of the requirements of the decision context, the authors describe a systematic way of incorporating different BR concepts into an agent learning model. The approach is illustrated by analyzing an incentive scheme suggested for truthful reporting in budgeting contexts, which is an adapted Groves mechanism scheme. Findings The study describes systematic ways in which to derive BR agents for research questions where behavioral aspects might matter. The authors show that BR concepts may lead to other outcomes than the intended truth-inducing effect. A modification of the mechanism to more distinguishable levels of payments improves the results in terms of the intended effect. Research limitations/implications The presented BR concepts as simulated by agent models cannot model human behavior in its full complexity. The simplification of complex human behavior is a useful analytical construct for the controlled analysis of a few aspects and an understanding of the potential consequences of those aspects of human behavior for mechanism design. Originality/value The paper specifies the idea of a computational testbed for mechanism design based on BR concepts. Beyond this, a systematic and stepwise approach is shown to formalize bounded rational behavior by agents based on a requirements analysis, including benchmark models for the comparison and evaluation of BR concepts.


2021 ◽  
Author(s):  
Giorgio Sulligoi ◽  
Giorgio Trincas ◽  
Andrea Vicenzutti ◽  
Luca Braidotti ◽  
Michele Cataneo

Author(s):  
Dongming Fan ◽  
Yi Ren ◽  
Qiang Feng

The smart grid is a new paradigm that enables highly efficient energy production, transport, and consumption along the whole chain from the source to the user. The smart grid is the combination of classical power grid with emerging communication and information technologies. IoT-based smart grid will be one of the largest instantiations of the IoT in the future. The effectiveness of IoT-based smart grid is mainly reflected in observability, real-time analysis, decision-making, and self-healing. A proper effectiveness modeling approach should maintain the reliability and maintainability of IoT-based smart grids. In this chapter, a multi-agent-based approach is proposed to model the architecture of IoT-based smart grids. Based on the agent framework, certain common types of agents are provided to describe the operation and restoration process of smart grids. A case study is demonstrated to model an IoT-based smart grid with restoration, and the interactive process with agents is proposed simultaneously.


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