MULTI AGENT SYSTEM APPROACH TO SOLVE DISTRIBUTED ENERGY RESOURCE ALLOCATION PROBLEM TO INCREASE THE STABILITY AND RELIABILITY OF THE DISTRIBUTION SYSTEM

The modern power distribution system differs drastically from the conventional power distribution system. Smart grid and micro-grid technologies make the modern distribution system more complicated. In modern power distribution network two way power flow is possible due to the installation of distributed energy resources compared to the one way power flow from generation to consumer in conventional power distribution system. Utility companies had full control over the conventional power distribution system. With the more and more DERs in placed by privet sectors and some times by individual home owners managing the power distribution system becomes more and more complex. Maintaining the reliability and the stability of the system is becoming a challenge in modern power distribution system. Addition of DERs has significant effect on the reliability of the network

Modeling Electric Vehicle Charging Station Behavior Using Multiagent System

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

Adapting a commercial power system simulator for smart grid based system study and vulnerability assessment

The smart grid is the future of the power grid. Smart meters and the associated network play a major role in the distributed system of the smart grid. Advance Metering Infrastructure (AMI) can enhance the reliability of the grid, generate efficient energy management opportunities and many innovations around the future smart grid. These innovations involve intense research not only on the AMI network itself but as also on the influence an AMI network can have upon the rest of the power grid. This research describes a smart meter testbed with hardware in loop that can facilitate future research in an AMI network. The smart meters in the testbed were developed such that their functionality can be customized to simulate any given scenario such as integrating new hardware components into a smart meter or developing new encryption algorithms in firmware. These smart meters were integrated into the power system simulator to simulate the power flow variation in the power grid on different AMI activities. Each smart meter in the network also provides a communication interface to the home area network. This research delivers a testbed for emulating the AMI activities and monitoring their effect on the smart grid