Robust Adaptive Load Frequency Control for Multi-area Power System Grid Networks with Uncertainty

In this paper, we introduce decentralized robust adaptive load frequency control schemes for interconnected multi-area power system networks in the presence of uncertainty. The uncertainty in power networks may appear from load variations, modeling errors, fault disturbances and changes of the power system structure for bilateral contracts between distribution and transmission companies for future open and liberal electricity trading policy. First design comprises state feedback vector terms with the robust and adaptive terms to learn and compensate uncertainty associated with multi-area power system networks. Second design integrates state and sliding mode feedback vectors with the robust and adaptive terms to deal with uncertainty. The control algorithms are designed by using Lyapunov method. It is shown in our convergence analysis that the variation of the states of multi-area power system networks are bounded and their bounds asymptotically converge to zero. Compared with existing results, the proposed method does not require the exact bounds of the uncertainty associated with the power system networks. The design is simple and easy to implement as it does not require the exact model and matched uncertainty of the power system networks. Evaluation results on multi-area power system networks are given to demonstrate the effectiveness of the proposed method for real-time applications.