Adaptive Load Shedding Strategy for Power Systems Based on Linear Regression
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Abstract
The balance between generation and demand is essential for frequency stability in electrical power systems. However, the increasing penetration of intermittent renewables has reduced the inertia of the system, exposing limitations in traditional frequency control schemes. To meet this challenge, an adaptive load relief scheme, based on the rate of change of frequency (ROCOF) and equivalent inertia, optimized by linear regression to enhance the system's response to contingencies, is suggested. The proposal is validated in the IEEE system of 39 bars, assessing N-1 contingencies and different levels of inertia. This research work demonstrates that the proposed scheme allows a more efficient frequency recovery with less load disconnection, surpassing conventional methods. In addition, the adaptive approach strengthens the resilience of the system, making it more flexible without compromising operational stability. This study highlights the need for smart, data-driven solutions to strengthen the stability of electricity systems, ensuring a safer and more sustainable supply in the context of adaptive electricity systems.
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