Optimal battery storage location and control in distribution network

The paper discusses the problem of energy losses reduction in electrical networks using a battery storage system. One main research interests is to define optimal location and control, for given characteristics (battery size, maximum charge / discharge power, depth, etc.), network configuration, load, daily load diagram. Battery management involves determining state over one period (whether charging or discharging) with what power it operates. Optimization techniques were used, which applied model described paper. consists fitness function constraint. dependence on current suggested that be fit by n - order function. constraints apply very storing electricity. At any time interval, can receive inject must met. time, stored not exceed certain limits. represented as injection into nodes network. optimization was successfully solved applying genetic algorithm (GA), when management. Finally, implemented test results simulations are presented discussed.