Article Information
Publication date (electronic): 30 June 2015
DOI: 10.emerg/10.17357.441ec754ea78b6fd0c3b03ab2c057b94
Configuring an electrical power network with distributed generation by multi-objective optimization with evolutionary computing
Bio:
Timos holds a first degree in Mechanical and Aeronautical Engineering from the University of Patras, Greece, and a PhD in Multi-Objective Aerodynamic Design Optimisation from the University of Cambridge, UK. He is a Research Fellow in the Propulsion Engineering Centre, School of Aerospace, Transport and Manufacturing, Cranfield University, and a Research Associate in the Engineering Design Centre, Department of Engineering, University of Cambridge.
Abstract
Electrical power networks can be improved both technically and economically through the inclusion of distributed generator (DG) units, which may include renewable energy resources. This work uses multi-objective optimization by evolutionary computing, with power flow calculations and multi-dimensional results analysis, to investigate a method of defining optimal deployment of DG units. The results indicate that the method used is a feasible one for designing deployment of DG units in terms of type, number, and location.
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