Abstract
Wind energy is a rising industry that is rapidly influencing the global energy environment, leading to pollutant mitigation and ultimately helping to shift the climate change paradigm. The incorporation of wind energy into power grids poses new challenges from the point of view of operating performance for transmission network operators. The inconsistent nature is the most significant issue with wind energy. Wind power differs from time to time and the operator must choose the operation strategy accordingly. In this study, a real-time multiple objective optimal power flow framework is proposed to solve this issue. The related dynamic optimization problem is solved online and the control variables are optimized simultaneously. To guarantee both the feasibility and performance of the proposed method, a multi-objective particle swarm optimization with decomposition is developed. Using modified IEEE 30-bus and IEEE 57-bus test systems, the validation of the proposed approach is described in this research.
Published Version
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