Abstract:

Different secondary controllers are necessary for Frequency deviation control to meet anticipated power generation related to load demand. In this work a Fuzzy plus Non-Integer PID Controller (FNPID) is projected for frequency deviation control in unified system including EV aggregators. EVs are given priority because of its green environmental effect. Proper adjustment of gains of FNPID is also required to extract the best performance of the secondary controllers. Here a recent tuning process named as multi-verse optimizer (MVO) is applied for proper tuning of projected controller. The implemented dual area power system includes time varying delay-based EV aggregators and thermal generating units. The MVO technique is applied in the model to tune the controller constraints with abrupt increment of demand in one of the control areas. A time-based function is treated as fitness function to evaluate the system performance. The dominance property of the projected FNPID controller over conventional PID controller in terms of different response specifications like maximum positive deviation (overshoot), settling time and minimum negative deviation (undershoot). The robust nature of the projected controller is also confirmed by multiple analysis like random load deviations and system constraint alteration.<

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