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Smart city energy management with IoT renewable system for pitch angle estimation through load shedding frequency modulation scheme for inertia control

机译：Smart city energy management with IoT renewable system for pitch angle estimation through load shedding frequency modulation scheme for inertia control

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Abstract Smart cities require effective device communication through consideration of key features of instrumentation, intelligence, and interconnections. Internet-of-Things (IoT) is implemented in smart cities for larger communication with heterogeneous communication and devices in smart cities. Through the implementation of IoT devices in smart cities power management can be effectively managed through the implementation of renewable systems. Power system contributed on the economic growth of the country through offering adequate power for demand. The conventional synchronous generator is replaced with wind power system those demand for evaluate the stability of the system. In view of the problem that the inertia of the system is reduced and the frequency modulation capability is insufficient due to large-scale wind power connected to the power grid, this paper proposed Pitch Angle Load Shedding Frequency Modulation wind turbine control strategy and inertia support and primary frequency modulation. This scheme is based on the characteristics of the pitch angle of the wind turbine to set the load shedding control of the wind turbine, reserve the reserve capacity required for the wind turbine frequency modulation. To analyse the impact of WTGs on transient stability, a line fault is applied near bus-7 of IEEE 9-bus based on consideration of swing in rotor angle, speed and oscillation with consideration of magnitude of voltage, active and reactive power of WTGs. It is found that, with SCIGs, rotor angle swing increased indefinitely, rotor speed deviation is more and oscillation duration is more.

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