M. Jalilian; A. Rastgou; S. kharrati; S. Hosseini-Hemati
Abstract
Nowadays, in order to improve the dynamic performance of power networks and frequency control, LFC system is used in power plants. The presence of photovoltaic (PV) and wind turbine (WT) sources causes momentary changes in production and complicates the network frequency control process. In this paper, ...
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Nowadays, in order to improve the dynamic performance of power networks and frequency control, LFC system is used in power plants. The presence of photovoltaic (PV) and wind turbine (WT) sources causes momentary changes in production and complicates the network frequency control process. In this paper, the random programming method with the Latin hypercube sampling pattern (LHS) is used to model the uncertainties of generating PV and PW sources. Also, to reduce the impact of the uncertainty of PV and PW sources on the frequency fluctuation, superconducting magnetic energy storage (SMES) has been used. Due to the fast dynamic response and favorable inertia characteristic of SMES, the performance of LFC and the stability of the system have been ameliorated. The simulation results in MATLAB software show that by step changes in the system load to the value of 0.1 pu, in the presence of SMES storage, the maximum overshoot value and the settling time of the system frequency are 16 percent and 3.2 seconds less, respectively.
