Abstract Reliability and active power loss are two fundamental parameters in the design and planning of distribution systems that have always attracted the attention of power distribution systems designers and engineers. The improvement of reliability and the reduction More
Abstract Reliability and active power loss are two fundamental parameters in the design and planning of distribution systems that have always attracted the attention of power distribution systems designers and engineers. The improvement of reliability and the reduction of power loss are investigated as the primary objective functions and voltage profile as the secondary objective function. A method based on Krill Herd algorithm is adopted to optimize a single objective function that consists of a number of distinct objective functions and is made up of different weight coefficients in order to locate distributed generation units. Further, the results obtained from this algorithm will be compared to those of other methods. To evaluate the accuracy and efficiency of the proposed algorithm in finding optimal responses, standard grids including IEEE 33-bus and 69-bus radial distribution systems are employed.
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Nature has always proven that it is able to overcome its problems. However, human manipulation has led to environmental degradations. The dryness of a thousand-year Urmia Lake (a brinewater lake in Iran) is an example of environmental degradation that happened due to su More
Nature has always proven that it is able to overcome its problems. However, human manipulation has led to environmental degradations. The dryness of a thousand-year Urmia Lake (a brinewater lake in Iran) is an example of environmental degradation that happened due to successive droughts and construction of dams on the basin of this lake. This study examines methods for the revival of Urmia Lake,by making use of the water gathered behind the dam of Urmia Lake for agricultural purposes. This examination will be carried out by constructing several green plants around this lake over 20 years. The cost and amount of this construction project is analyzed with MATLAB software and by using the Ant Colony Algorithm.
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