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Distributed Generation Capacity Evaluation Using Combined Genetic Algorithm and OPF by Gareth P. Harrison, Antonio Piccolo, Pierluigi Siano, and A. Robin Wallace is a Engineering article available to read on EtoBox.

What is Distributed Generation Capacity Evaluation Using Combined Genetic Algorithm and OPF about?

A range of techniques has been proposed to define the optimal locations and capacities of distributed generation (DG) as a means of ensuring that the maximum amount of DG can be connected to existing and future networks. However, there are limitations inherent in these methods, not least in finding the best combination of sites for connecting a predefined number of DGs. Here, a method combining optimal power flow and genetic algorithms aims to meet this requirement. Its use would be in enabling Distribution Network Operators to search a network for the best sites and capacities available to strategically connect a defined number of DGs among a large number of potential combinations. Some applications of the proposed methodology confirmed its effectiveness in sitting and sizing an assigned number of DG units.

Who reads Distributed Generation Capacity Evaluation Using Combined Genetic Algorithm and OPF?

Author

Gareth P. Harrison, Antonio Piccolo, Pierluigi Siano, and A. Robin Wallace

Publisher

Walter de Gruyter GmbH & Co. KG; Walter de Gruyter GmbH (ISSN 2194-5756)

Published

2007

Language

EN

Field

Engineering (Physical Sciences)