Frequency Regulation of Hybrid Power System by Optimized Adaptive Fuzzy PID Controller

2020 ◽  
Author(s):  
Debidashi Mohanty ◽  
Sidhartha Panda ◽  
N. P. Patidar ◽  
Koki Ogura ◽  
Jalpa H. Jobanputra ◽  
...  
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Frequency Regulation ◽  
Fuzzy Pid ◽  
Hybrid Power System ◽  
Adaptive Fuzzy ◽  
Fuzzy Pid Controller ◽  
Hybrid Power

scholarly journals Design and implementation of Fuzzy-PID Controller with Derivative Filter for AGC of two-area interconnected Hybrid Power System

2019 ◽  
Vol 8 (10) ◽  
pp. 4198-4212
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Thermal Power ◽  
Automatic Generation ◽  
Fuzzy Pid ◽  
Hybrid Power System ◽  
Fuzzy Pid Controller ◽  
Hybrid Power ◽  
Design And Implementation ◽  
Derivative Filter

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.

Grasshopper Algorithm Optimized Fractional Order Fuzzy PID Frequency Controller for Hybrid Power Systems

2019 ◽  
Vol 12 (6) ◽  
pp. 519-531
Author(s):  
Deepak Kumar Lal ◽  
Ajit Kumar Barisal
Keyword(s):  
Power Systems ◽  
Power System ◽  
Fractional Order ◽  
Pid Controller ◽  
Load Frequency Control ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Hybrid Power ◽  
Increasing Demand

Background: Due to the increasing demand for the electrical power and limitations of conventional energy to produce electricity. Methods: Now the Microgrid (MG) system based on alternative energy sources are used to provide electrical energy to fulfill the increasing demand. The power system frequency deviates from its nominal value when the generation differs the load demand. The paper presents, Load Frequency Control (LFC) of a hybrid power structure consisting of a reheat turbine thermal unit, hydropower generation unit and Distributed Generation (DG) resources. Results: The execution of the proposed fractional order Fuzzy proportional-integral-derivative (FO Fuzzy PID) controller is explored by comparing the results with different types of controllers such as PID, fractional order PID (FOPID) and Fuzzy PID controllers. The controller parameters are optimized with a novel application of Grasshopper Optimization Algorithm (GOA). The robustness of the proposed FO Fuzzy PID controller towards different loading, Step Load Perturbations (SLP) and random step change of wind power is tested. Further, the study is extended to an AC microgrid integrated three region thermal power systems. Conclusion: The performed time domain simulations results demonstrate the effectiveness of the proposed FO Fuzzy PID controller and show that it has better performance than that of PID, FOPID and Fuzzy PID controllers. The suggested approach is reached out to the more practical multi-region power system. Thus, the worthiness and adequacy of the proposed technique are verified effectively.

scholarly journals Design and Implementation of Frequency Controller for Wind Energy-Based Hybrid Power System Using Quasi-Oppositional Harmonic Search Algorithm

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6459
Author(s):  
Tarkeshwar Mahto ◽  
Rakesh Kumar ◽  
Hasmat Malik ◽  
Irfan Ahmad Khan ◽  
Sattam Al Otaibi ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Wind Energy ◽  
Pid Controller ◽  
Magnetic Energy ◽  
Harmony Search ◽  
Load Frequency Control ◽  
Fuzzy Pid ◽  
Hybrid Power System ◽  
Hybrid Power

An innovative union of fuzzy controller and proportional-integral-derivative (PID) controller under the environment of fractional order (FO) calculus is described in the present study for an isolated hybrid power system (IHPS) in the context of load frequency control. The proposed controller is designated as FO-fuzzy PID (FO-F-PID) controller. The undertaken model of IHPS presented here involves different independent power-producing units, a wind energy-based generator, a diesel engine-based generator and a device for energy storage (such as a superconducting magnetic energy storage system). The selection of the system and controller gains was achieved through a unique quasi-oppositional harmony search (QOHS) algorithm. The QOHS algorithm is based on the basic harmony search (HS) algorithm, in which the combined concept of quasi-opposition initialization and HS algorithm fastens the profile of convergence for the algorithm. The competency and potency of the intended FO-F-PID controller were verified by comparing its performance with three different controllers (integer-order (IO)-fuzzy-PID (IO-F-PID) controller, FO-PID and IO-PID controller) in terms of deviation in frequency and power under distinct perturbations in load demand conditions. The obtained simulation results validate the cutting-edge functioning of the projected FO-F-PID controller over the IO-F-PID, FO-PID and IO-PID controllers under non-linear and linear functioning conditions. In addition, the intended FO-F-PID controller, considered a hybrid model, proved to be more robust against the mismatches in loading and the non-linearity in the form of rate constraint under the deviation in frequency and power front.

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