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Coverage optimization of UK renewable energy sources: GA based approach

Nouri, Hassan


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Hassan Nouri
Reader in Electrical Power and Energy


Worldwide demand for energy continues to grow
each year, while at the same time, concerns about climate change are leading to stricter emissions regulations. Renewable energy sources and distributed generation will play an increasing role in current and future electric power systems. In this research an attempt is made to use the Genetic Algorithm based optimization method to calculate the percentage coverage of distributed
generation farms considering a set of constraints formulated to maintain balance between cost and demand. In addition, the distances between farms and dispersed population constraints are also taken into account.


Nouri, H. (2017, August). Coverage optimization of UK renewable energy sources: GA based approach

Presentation Conference Type Conference Paper (unpublished)
Start Date Aug 28, 2017
End Date Aug 31, 2017
Acceptance Date May 12, 2017
Publication Date Mar 17, 2017
Peer Reviewed Peer Reviewed
Pages 1-6
Keywords distributed generation, electric power systems, genetic algorithm, optimal location and size, power coverage, renewable energy
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Additional Information Title of Conference or Conference Proceedings : 52nd International Universities Power Engineering Conference UPEC2017