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