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Cuk Supriyadi Nandar

Cuk Supriyadi Nandar

Center for Technology of Manufacturing Industry, Indonesia

Title: Robust and adaptive pid control design for stabilization of interconnected smart power system with high penetration of renewable energy

Biography

Biography: Cuk Supriyadi Nandar

Abstract

When large power output renewable energy generation connected to grid, the number of conventional rotating type of generators in operation decreases, which results in the reduction of total inertia constant and it makes the power system stability weak. Moreover, the uncertainty of renewable energy generations may cause the dynamic characteristic of the power system changeable. On other hand, the performance of controller depends on the dynamic characteristic of the power system. Therefore, we need to re-estimate the system to adjust controller parameters to enhance the stability of the power system. This paper proposes design of energy storage controller in interconnected power system by considering robustness and adaptivity. The structure of controller is PID controller due to the most applicable in industry, simple structure, low cost and high reliability and performance. Robustness of controller is guaranteed by taking system uncertainties such as various generating and loading conditions, system nonlinearities etc., into consideration, the concept of enhancement of inverse additive perturbation is formulated as the optimization problem of PID parameters. The generic algorithm is applied to solve for controller parameters. In adaptive control, the controller parameters are changed depending on the situations. However, it is not desirable that the parameters are changed too frequently. It is preferable that the parameter alteration is done at the right moment. Here a system identification technique and the robust controller design method are combined into an indirect adaptive controller design. The result of model identification is used to monitor discrepancy between output of the actual power system and output of the identified model. When a large discrepancy is detected, a new set of controller parameters is determined to adapt to the new situation. The effectiveness of proposed method is evaluated in interconnected power system with high renewable energy penetration against various line flow conditions and inertia constant in comparison with the conventional robust controller without considering adaptivity. Non linear simulation in interconnected power system confirm that the proposed controller design is effective to stabilize the system against various line flow conditions and inertia constant due to renewable energy penetration.