Design and Implementation of Fuzzy-PID Controller with Derivative Filter for AGC of two-area Interconnected Hybrid Power System
Binod Kumar Sahu1, Pradeep Kumar Mohanty2
1Bindod Kumar Sahu, Department of Electrical Engineering, ITER, SOA University, Bhubansewar, Odisha, India.
2Pradeep Kumar Mohanty, Department of Electrical Engineering, ITER, SOA University, Bhubansewar, Odisha, India.
Manuscript received on 0 August 2019 | Revised Manuscript received on 05 August 2019 | Manuscript published on 30 August 2019 | PP: 4298-4212 | Volume-8 Issue-10, August 2019 | Retrieval Number: J10580881019/2019©BEIESP | DOI: 10.35940/ijitee.J1058.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The huge band variation in wind speed causes unpredictable swing in power generation and hence large divergence in system frequency leading to unpredictable situation for standalone applications. To overcome the above difficulties, WTG (wind turbine generator) is integrated with conventional thermal power system along with other distributed generation units such as FC (fuel cell), DEG (diesel engine generator), AE (aqua-electrolyser) and BESS (battery energy storage system) which form a hybrid power system. This paper concerns with automatic generation control (AGC) of an interconnected two area hybrid power system as mentioned above. Design and implementation of suitable controllers for AGC of above hybrid power system is a challenging job for operational and design engineers. Various control schemes proposed in this paper are conventional PID & PID controller with derivative filter (PIDF) and fuzzy-PID controller without (fuzzy-PID) and with derivative filter (fuzzy-PIDF) to achieve improved performance of AGC system in terms of frequency profile. The values of gain parameters of proposed controllers are designed using hybrid LUS-TLBO (Local Unimodal Sampling-Teaching Learning Based Optimization) algorithm. Superiority of fuzzy-PIDF controller over other proposed controllers are addressed. Robustness study of proposed fuzzy-PIDF controller is thoroughly demonstrated with change in system parameters and loading pattern. The work is further extended to analyze the transient phenomena of the AGC for a 3-area interconnected system having nonlinearities such as reheat turbine, governor dead band along with generation rate constraint for the thermal generating units.
Keywords: Automatic Generation Control (AGC), Proportional-Integral-Derivative (PID), PID with derivative filter (PIDF), Local Unimodal Sampling (LUS), Teaching Learning Based Optimization (TLBO).
Scope of the Article: Fuzzy Logics