In this paper, a Fractional Order Power System controller (FOPSS) is designed, and its performance and robustness are experimentally evaluated by tests in a 10 kVA laboratory scale power system. The FOPSS design methodology is based on the tuning of an additional design variable, namely the fractional order of the controller transfer function. This design variable is tuned aiming to obtain a tradeoff between satisfactory damping of dominant oscillating mode and improved closed-loop system robustness. For controller synthesis, transfer function models were estimated from data collected at selected operating points and subsequently applied for the controller design and for obtaining upper bounds estimates on the operating-point depends on plant uncertainties. The experimental results show that the FOPPS was able to obtain a robust performance for the considered set of the power system operating conditions.

In this study, the design, implementation and experimental evaluation tests of a Takagi–Sugeno power system stabiliser (TSPSS) controller is presented. The controller was designed in order to provide a good damping for dominant electromechanical oscillations in power systems for the set of allowed operating conditions. In the proposed TSPSS controller, such requirement was accomplished by implementing a supervision scheme which performs the adaptation of the TSPSS parameters at each sample time, according to the current detected plant operating condition. The TSPSS controller has been implemented as a microcontroller‐based embedded system and its performance was assessed by performing experimental tests in a laboratory scale (10 kVA) power system as well as in field tests performed in a large (350 MVA) generating unit, at Tucuruí Hydroelectric Power Plant. The experimental results also show the good performance of the TSPSS to cope with varying plant operation condition.

Este trabalho propõe uma estratégia fuzzy, do tipo Rede de Controladores Locais, aplicável à melhoria da estabilidade dinâmica em sistemas elétricos de potência, visando compensar possíveis perdas de sintonia devido à ocorrência de variações nas condições operacionais da planta. A adaptação dos ganhos do controlador fuzzy é efetuada on-line, interpolando-se os ganhos de um conjunto finito de controladores locais fixos. Ao ocorrer variações nas condições operacionais da planta, os ganhos da lei de controle são ajustados automaticamente de modo a manter satisfatório o desempenho do sistema de controle. O desempenho do controle foi avaliado através de estudos de simulação, utilizando-se um modelo dinâmico não-linear, do tipo máquina barra infinita. Os resultados mostram que o emprego da estratégia proposta permite obter melhorias no desempenho dinâmico do sistema.