This paper presents a combined method which integrates the analytical approach into a firefly algorithm for optimal location and sizing of Distributed Generators (DG) in power system distribution networks. Optimal location and sizing of... more
This paper presents a combined method which integrates the analytical approach into a firefly algorithm for optimal location and sizing of Distributed Generators (DG) in power system distribution networks. Optimal location and sizing of DGs are key to achieving an improvement in the system’s reliability, stability and reduction of power losses. The combined method was then tested on the standard IEEE 30-bus radial distribution system and results obtained showed high precision for location and accuracy in sizing.
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Abstract The paper looks into the possibilities of using available renewable resources in rural areas for electric power generation for remote consumers. Based on meteorological data (the hourly wind speed) collected and analyzed for... more
Abstract The paper looks into the possibilities of using available renewable resources in rural areas for electric power generation for remote consumers. Based on meteorological data (the hourly wind speed) collected and analyzed for Dapchi, a north eastern rural ...
Research Interests:
Abstract The paper looks into the possibilities of using available renewable resources in rural areas for electric power generation for remote consumers. Based on meteorological data (the hourly wind speed) collected and analyzed for... more
Abstract The paper looks into the possibilities of using available renewable resources in rural areas for electric power generation for remote consumers. Based on meteorological data (the hourly wind speed) collected and analyzed for Dapchi, a north eastern rural ...