Sintonia Robusta E Coordenada De Estabilizadores Multi-Banda (Pss4b) Utilizando Gwo

Abstract

This paper presents the application of the GWO (Grey Wolf Optimizer) technique to tune Power System Stabilizers (PSS) of the multi-band type (PSS4B) in power electric systems. The PSS4B is a more flexible and potentially more efficient controller type compared to the conventional PSS (CPSS or PSS1A). However, find a optimal settings for the PSS4B is challenging due to the increased complexity of this type of PSS. The tuning problem is formulated as an optimization problem aiming at maximizing the damping ratio in closed-loop system considering several operating conditions. The GWO technique is used to solve this optimization problem. To assess the performance of the proposed method, two test systems are used: the South-Southeast Brazilian Equivalent System and the New England System. The results indicate that PSS4B have better damping levels compared to CPSS.

Participatory design of a smart forest in the Brazilian Amazon using smartphones, algorithms, and ethnographic methods

“…In particular, geocoded data on digital platforms, contributed by users, have become a target for extraction, mining, and exploitation by Google and others (Barreneche and Wilken, 2015). For these reasons, community networks of digital technologies have been emerging as well, such as the community‐managed Rhizomatica cell phone network in Mexico (Baca‐Feldman et al., 2017; González, 2020), the Baobaxia network started by Afro‐descendant communities ( quilombos ) in Brazil (Zhang et al., 2022), and Brazil's HERMES digital radio networks derived from the earlier Fonias project (Diniz and Farias, 2021; Rhizomatica, n.d.). These networks have been developed in lieu of the inaccessible or profit‐oriented services of big tech companies, often in collaboration with grassroots groups such as MetaReciclagem and Software Livre, which are themselves marginalized communities in today's capitalism‐dominated world (Amrute and Murillo, 2020; Evangelista, 2014; González, 2020; Murillo, 2020; Zhang et al., 2022).…”