For smooth operation of the micro grid, optimal setting of overcurrent relay is required. In this paper optimal settings of overcurrent relays have been carried out by teachinglearning-basedoptimization (TLBO) to re...
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ISBN:
(纸本)9781728104201
For smooth operation of the micro grid, optimal setting of overcurrent relay is required. In this paper optimal settings of overcurrent relays have been carried out by teachinglearning-basedoptimization (TLBO) to reduce the incidence of sympathetic trippings when the transient network topology takes place during faults and only relay and circuit breakers of one end have operated for the clearing of fault. The work considers identification of sympathetic tripping and shows that it is possible to obtain relay settings which are unaffected by transient network topology changes. It is observed from simulation work that the coordination time interval (CTI) may be adversely affected if all sympathetic and probable sympathetic tripping are removed.
In this research paper a novel cascaded PD-Fuzzy-PID controller is recommended for a conventional hybrid-source unified power system for automatic generation control. The optimization of scaling parameters of the sugg...
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In this research paper a novel cascaded PD-Fuzzy-PID controller is recommended for a conventional hybrid-source unified power system for automatic generation control. The optimization of scaling parameters of the suggested PD-Fuzzy-PID controller is done by hybrid Grey Wolf optimization-teaching learning based optimization (GWO-TLBO) technique. A sudden disturbance of 0.01 p.u. is considered in area 1 and ITAE is taken as the evaluative function in the recommended optimization process. The proposed work considers three different sources of generating systems namely, a hydro, a gas and a reheat thermal unit. Both AC tie-line and AC-DC tie-line is considered in analyzing the dynamic performances of the system. The robustness and sensitiveness of the proposed controller are further put to test for random load variations and nominal parameter variations. Analysis of the dynamic characteristics of the system is executed considering a number of time response specifications like settling time, peak overshoots and undershoots. During the analysis the optimum specifications obtained by the recommended technique are compared with some pre-published results in order to prove the supremacy of this novel controller over existing controllers. Further, the frequency stability of the system is improved by employing an UPFC in the system.
This article describes the automatic generation control of a two area multi-unit interconnected power system with Proportional-Integral-Derivative controller with Filter (PIDF) tuned by teachinglearningbased optimiz...
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ISBN:
(纸本)9781509012787
This article describes the automatic generation control of a two area multi-unit interconnected power system with Proportional-Integral-Derivative controller with Filter (PIDF) tuned by teaching learning based optimization (TLBO) algorithm. Each area is equipped with three reheat thermal units with hydraulic amplifiers. The gains of the PIDF controllers are simultaneously optimized by applying a step load perturbation of 0.01 in area 1 considering integral time absolute error (ITAE) as the fitness function. The enhancement of the control behavior of the proposed optimized PIDF controller is proved in comparison with the conventional PID controller. The dynamic responses of the system is compared in terms of settling time, peak overshoots and undershoots. Further the sensitiveness and robustness of system is verified by applying disturbances in both the area simultaneously.
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