Abstract
Abstract— Distributed Generation (DG) is the use of small generating sets connected to the grid or feeding power islands, based on technologies such as internal combustion engines, small and micro turbines, fuel cell, photo voltaic and wind plants. Driven by increasing environmental concerns and increasing amount of new generation technologies, it is expected that many new generation technologies, including renewable generation, will be connected to electrical power system in the near future, therefore stability condition changes shall be studied to improve overall power system operation. In this paper the impact of DG on power system transient stability is investigated by genetic algorithm method. It is observed that both size and location of DG technologies will influence network stability. The fitness evaluation function that drives the GA to the solution is an integral of rotor angle oscillations versus time. each scenario, eleven penetration levels were surveyed. These penetration levels were proportional to load power changes. They used two indicators: The maximum rotor speed duration The oscillation duration. They concluded that the impact of the DG on the transmission system transient stability depends on both the technology used and penetration level of DG. In (5) the impact of distributed gas turbine generators on the bulk transmission system was investigated. In (6, 7) the modelling of wind turbines in power system dynamics simulations is addressed. In this paper a methodology is presented for allocation and sizing of distributed generation in power systems in order to improve network transient stability. The optimization process is conducted by Genetic Algorithm. In this case a stability index is introduced as the fitness function of GA. The stability index is integral of power angle oscillations. In each step a three phase short circuit is implemented on one predetermined line afterwards stability criterion is checked and when ever this criterion is optimized, GA shows the best answer.
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More From: IACSIT international journal of engineering and technology
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