Multi-agent based control of smart grid

Agent-based models(ABMs) are a type of simulation in which a large number of self-sufficient agents interact in a way that combines stochastic and deterministic behavior. Recently, there have been reestablished interests in utilizing multiagent systems (MASs) to get more granular data relating to specific conditions. MESA is an ABM framework for Python. It enables users to quickly develop ABMs with built-in core components, view them with a browser-based interface, and evaluate their findings with Python’s data analysis capabilities. This chapter depicts an ABM of a photovoltaic (PV)-powered electric vehicle (EV) charging station in a university car park modeled using MESA. The goal is to determine the preliminary requirements for PV-powered EV charging stations, which would result in increased PV and cost benefits.

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Modeling Electric Vehicle Charging Station Behavior Using Multiagent System

Khan¹,

Navaratne²,

Ekanayake³

2023

Multi-Agent Technologies and Machine Learning

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Multi-agent based control of smart grid

Cited by 1 publication

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Modeling Electric Vehicle Charging Station Behavior Using Multiagent System

Modeling Electric Vehicle Charging Station Behavior Using Multiagent System

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