This paper proposes a method to improve the frequency response of a power system during restoration. A Load Frequency Control (LFC) scheme with a PID controller is used. In the initial phase of restoration; the proposed control scheme helps to increase the amount of load pick-up. Presented method is capable of achieving better frequency response for a determined load step. The aim is to assess desired frequency response for different power plant. The proposed controller has been tested for different power plants, and simulation results show that the frequency controller can improve load pick-up.

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Demand Side Management (DSM) can be a solution for providing the energy at peak times. In this paper an effective DSM is proposed that not only reduces the peak costs, but also is practicably possible in industrial and residential areas, which is performed by using Direct Load Control (DLC). According to use different strategies of DLC use, different results are found that can be either useful for consumers or utility. Produced structures by DLC are optimized by Integer GeneticAlgorithm that is discussed in this paper. Simulation results for each DLC operation strategies are presented and an executive comparison for these strategies is done.

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This paper presents a genetic algorithm (GA) optimization technique to find the optimum switching angles of 11-level inverter with minimum number of dc sources and switches in comparison with the cascade multilevel inverter in order to minimize the total harmonic distortion (THD) of their output voltage waveform. Theoretical and simulation results for an 11-level converter show the efficiency of the proposed algorithm to determine the optimum angles in order to decrease the undesired harmonics and produce very high quality output voltage waveform.