Distributed Generation Capacity Allocation Using Combined Genetic Algorithm and OPF

Gareth Harrison; A. Piccolo; P. Siano; Robin Wallace

doi:10.2202/1553-779X.1517

Distributed Generation Capacity Allocation Using Combined Genetic Algorithm and OPF

Gareth Harrison, A. Piccolo, P. Siano, Robin Wallace

School of Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Journal	International Journal of Emerging Electric Power Systems
Volume	8
Issue number	2
DOIs	https://doi.org/10.2202/1553-779X.1517
Publication status	Published - 4 May 2007

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abstract = "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.",

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Distributed Generation Capacity Allocation Using Combined Genetic Algorithm and OPF

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