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Small signal stability enhancement of a multimachine power system using probabilistic tuning PSS based in wide area monitoring data

Abstract:

Nowadays, the operation of electrical systems presents technical challenges associated with the operational dynamics present in increasingly charged systems. Due to the low-frequency oscillations generated given the continuous change in demand and the exchange of power between the different areas of the system, under this context, it is interesting to analyze the incorporation into the power system stabilizer (PSS) of information received and processed in the wide-area measurement system (WAMS). To address the problems of small-signal stability; present in the electric power system of manner off-line to have a PSS tuning bank for a group of dispatch. Since the state variables in the power system are stochastic, this paper proposes a probabilistic method based on Monte Carlo that together with the heuristic algorithm of mean-variance mapping optimization (MVMO) allows determining the number of PSSs, their location and the tuning parameters of PSSs this guarantee stability of the system at the new operating point. The proposed methodology is applied in the New England 39 bus system. The results show that PSSs adjusted using the proposed method to improve the response of the small-signal stability.