A new method to evaluate the optimal penetration level of wind power

This paper introduces a new method for determining the optimal penetration of wind farms in power system adequacy assessment. Determining optimal penetration levels of wind farms based on the improvement in system reliability is an important factor in planning studies. However, this task requires repetitive calculations of the reliability indices and the capacity value of wind power. In this work, a real genetic algorithm (GA) is used in conjunction with the discrete-convolution-based reliability evaluation method to calculate the optimal size of wind power installations. The maximum capacity value of wind power and system reliability improvement are used as a criterion to calculate the optimal size of wind power penetration level. The proposed method is applied on the IEEE reliability test system (IEEE-RTS). The results show that the optimal capacity value strongly depends on the penetration level and the reliability index that is used to determine the capacity value.

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