Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISET-India.2011.6145339
Title: Multi-agent system for managing a power distribution system with Plug-in Hybrid Electrical vehicles in smart grid
Authors: Logenthiran, T.
Srinivasan, D. 
Keywords: Genetic algorithm
Linear programming
Multi-agent system
PHEV
Power distribution system
Smart grid
Issue Date: 2011
Source: Logenthiran, T.,Srinivasan, D. (2011). Multi-agent system for managing a power distribution system with Plug-in Hybrid Electrical vehicles in smart grid. 2011 IEEE PES International Conference on Innovative Smart Grid Technologies-India, ISGT India 2011 : 346-351. ScholarBank@NUS Repository. https://doi.org/10.1109/ISET-India.2011.6145339
Abstract: Demand response programs play a much important role in smart grid. Plug-in Hybrid Electrical Vehicles (PHEV) have potential to increase the ability of residential customers to participate in demand response programs. Therefore, a new infrastructure that enables vehicle to participate in demand response programs is needed. Smart charging and discharging plans will lower the operational cost of electric vehicles and reduces peak system load. In order to identify the best solution, a decentralized Multi-Agent System (MAS), and a hybrid algorithm combined with an Evolutionary Algorithm (EA) and a Linear Programming (LP) were developed to manage a power distribution system with PHEVs in this paper. Outcomes of simulation studies show that a central scheduling system can obtain an optimal way of charging and discharging of PHEVs, but it is unfeasible in practice. Centralized methods require complete information on when and how much PHEVs are needed to charge and discharge beforehand. This is not available in practical systems. The multi-agent system approach proves that it is a scalable decentralized methodology which can adapt to incomplete and unpredictable information while the numerical outcomes are not much worse than that from a central scheduler. © 2011 IEEE.
Source Title: 2011 IEEE PES International Conference on Innovative Smart Grid Technologies-India, ISGT India 2011
URI: http://scholarbank.nus.edu.sg/handle/10635/83984
ISBN: 9781467303163
DOI: 10.1109/ISET-India.2011.6145339
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