Journal
2015 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA)
Volume -, Issue -, Pages -Publisher
IEEE
Keywords
Power-to-Gas; integer particle swarm optimization; power distribution networks; smart grid
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Power-to-Gas is recently attracting lots of interest as a new alternative for the regulation of renewable based power system. In cases, where the re-powering of old wind turbines threatens the normal operation of the local distribution network, this becomes especially relevant. However, the design of medium-voltage distribution networks does not normally follow a common pattern, finding a singular and very particular layouts in each case. This fact, makes the placement and dimensioning of such flexible loads a complicated task for the distribution system operator in the future. This paper describes the procedure employed to optimally size and allocate Power-to-Gas units in order to counteract the impact produced by the wind power repowering in medium-voltage networks. This approach employs the integer-valued particle swarm optimization technique with the purpose of minimizing both the number of units -investment cost-and the technical losses in the system under study. The results obtained from the assessed test system show how such non-linear methods could help distribution system operators to obtain a fast and precise perception of what is the best way to integrate the Power-to-Gas facilities in their system.
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