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.
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.