scholarly journals Enabling the Analysis of Emergent Behavior in Future Electrical Distribution Systems Using Agent-Based Modeling and Simulation

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Sonja Kolen ◽  
Stefan Dähling ◽  
Timo Isermann ◽  
Antonello Monti
Keyword(s):  
Modeling And Simulation ◽  
Distribution Systems ◽  
Large Scale ◽  
Agent Based Modeling ◽  
Emergent Behavior ◽  
System Control ◽  
Distribution Grid ◽  
Agent Based ◽  
Electrical Distribution Systems ◽  
Electrical Distribution

In future electrical distribution systems, component heterogeneity and their cyber-physical interactions through electrical lines and communication lead to emergent system behavior. As the distribution systems represent the largest part of an energy system with respect to the number of nodes and components, large-scale studies of their emergent behavior are vital for the development of decentralized control strategies. This paper presents and evaluates DistAIX, a novel agent-based modeling and simulation tool to conduct such studies. The major novelty is a parallelization of the entire model—including the power system, communication system, control, and all interactions—using processes instead of threads. Thereby, a distribution of the simulation to multiple computing nodes with a distributed memory architecture becomes possible. This makes DistAIX scalable and allows the inclusion of as many processing units in the simulation as desired. The scalability of DistAIX is demonstrated by simulations of large-scale scenarios. Additionally, the capability of observing emergent behavior is demonstrated for an exemplary distribution grid with a large number of interacting components.

scholarly journals Agent-based modeling and simulation of emergent behavior in air transportation

2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Soufiane Bouarfa ◽  
Henk AP Blom ◽  
Richard Curran ◽  
Mariken HC Everdij
Keyword(s):  
Modeling And Simulation ◽  
Air Transportation ◽  
Agent Based Modeling ◽  
Emergent Behavior ◽  
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 A hierarchical multi-resolution agent-based modeling and simulation framework for household electricity demand profile

SIMULATION ◽  
2020 ◽  
Vol 96 (8) ◽  
pp. 655-678 ◽  
Author(s):  
Imran Mahmood ◽  
Quair-tul-ain ◽  
Hasan Arshad Nasir ◽  
Fahad Javed ◽  
José A Aguado
Keyword(s):  
Modeling And Simulation ◽  
Energy Demand ◽  
Large Scale ◽  
Electricity Consumption ◽  
Agent Based Modeling ◽  
Energy Planning ◽  
Modeling Framework ◽  
Agent Based ◽  
The Individual ◽  
Domestic Electricity

Analyzing demand behavior of end consumers is pivotal in long term energy planning. Various models exist for simulating household load profiles to cater different purposes. A macroscopic viewpoint necessitates modeling of a large-scale population at an aggregate level, whereas a microscopic perspective requires measuring loads at a granular level, pertinent to the individual devices of a household. Both aspects have lucrative benefits, instigating the need to combine them into a modeling framework which allows model scalability and flexibility, and to analyze domestic electricity consumption at different resolutions. In this applied research, we propose a multi-resolution agent-based modeling and simulation (ABMS) framework for estimating domestic electricity consumption. Our proposed framework simulates per minute electricity consumption by combining large neighborhoods, the behavior of household individuals, their interactions with the electrical appliances, their sociological habits and the effects of exogenous conditions such as weather and seasons. In comparison with the existing energy models, our framework uniquely provides a hierarchical, multi-scale, multi-resolution implementation using a multi-layer architecture. This allows the modelers flexibility in order to model large-scale neighborhoods at one end, without any loss of expressiveness in modeling microscopic details of individuals’ activities at house level, and energy consumption at the appliance level, at the other end. The validity of our framework is demonstrated using a case study of 264 houses. A validated ABMS framework will support: (a) Effective energy planning; (b) Estimation of the future energy demand; (c) and the analysis of the complex dynamic behavior of the consumers.

Modeling and simulation of active electrical distribution systems using the OpenDSS

2020 ◽  
pp. 121-152
Author(s):  
Luiz Carlos Ribeiro ◽  
Francinei Lucas Vieira ◽  
Benedito Donizeti Bonatto ◽  
Antonio Carlos Zambroni de Souza ◽  
Paulo Fernando Ribeiro
Keyword(s):  
Modeling And Simulation ◽  
Distribution Systems ◽  
Electrical Distribution Systems ◽  
Electrical Distribution
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