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Generally, the inevitable problems in the fuzzy logic-PID (FLPID) control design are the trial and error of the setting of scale factors, membership functions and control rules. To solve these problems, this paper proposes the optimal FLPID controller design using bee colony optimization (BCO) for the load frequency control in the microgrid system. The considered microgrid is the hybrid wind-diesel...
This paper proposes a new design of a robust control and monitoring system (RCMS) for robust stabilization of frequency fluctuation in a microgrid (MG) system. In MG system, the power sources consists of wind power (WP), photovoltaic (PV), microturbine (MT) and fuel cell (FC). Due to WP, PV and load fluctuations, the frequency stabilization of RCMS is performed by adjusting the power outputs of MT...
This paper proposes a design of fuzzy logic based-proportional-integral-derivative (FLPID) controller of superconducting magnetic energy storage (SMES) by a bee colony optimization (BCO) for stabilization of inter-area oscillation in an interconnected power system. Conventionally, the scale factors, membership functions and control rules of FLPID are obtained by trial and error method or experiences...
This paper proposes a design of the robust control and monitoring system (RCMS) for stabilization of microgrid (MG) system. The power sources in MG consists of wind power (WP), photovoltaic (PV), micro-turbine (MT) and fuel cell (FC). Due to intermittent powers from WP, PV and load fluctuations, the MG stabilization of RCMS is performed by controlling the power outputs of MT and electrolyzer system...
This paper focuses on a new robust control design of static var compensator (SVC) for voltage control in an isolated wind-diesel hybrid power system. The proposed method is based on the Hinfin loop shaping technique and genetic algorithm (GA). The structure of the controller is a proportional integral (PI) controller with single input. In the design, system uncertainties are modeled by a normalized...
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