Fuzzy Logic Based Fine-tuning Approach for Robust Load Frequency Control in a Multi-area Power System

Khezri, Rahmat; Golshannavaz, Sajjad; Shokoohi, Shoresh; Bevrani, Hassan

doi:10.1080/15325008.2016.1210265

Cited by 43 publications

(18 citation statements)

References 16 publications

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“…To meet the operational challenges in MG frequency control, several authors proposed various intelligent techniques to optimize the PID controller parameters according to MG operating conditions. In, [19][20][21][22][23][24][25][26][27][28] the authors proposed various swarm-intelligence methods for LFC of MG. Das et al 19 proposed genetic algorithm (GA) based PID controller, Srinivasarathnam et al 20 proposed grey wolf optimization (GWO) based PID controller, El-Fergany and El-Hameed 21 proposed social spider optimization (SSO) based PID controller, Shankar and Mukherjee 22 proposed harmony search algorithm based PID controller, Ray and Mohanty 23 proposed firefly algorithm based PID controller, and Shankar et al 24 proposed fruit fly algorithm-based PID controller for LFC of MG. However, most of the performance of the swarm-intelligence techniques relies on their algorithm-specific parameters, and improper selection of these parameters may lead the solution toward the local minima.…”

Section: Related Work and Key Gapsmentioning

confidence: 99%

“…Moreover, for each problem, it has to be trained separately, and a large number of tests are performed to define the adequate algorithm architecture. To overcome these problems, several authors proposed fuzzy logic approach (FLA) based schemes for optimizing PI/PID controllers for frequency control of MG. 28,29 Khezri et al 28 proposed a robust fuzzy PI controller, where the parameters of PI controller are optimized with the FLA to obtain robust performance in frequency control. Bevrani et al, 29 proposed an FLC for MG frequency control under diverse operating conditions.…”

Section: Related Work and Key Gapsmentioning

confidence: 99%

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A novel fuzzy tuned multistage PID approach for frequency dynamics control in an islanded microgrid

Annamraju

Nandiraju

2020

Int Trans Electr Energ Syst

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Objective: In microgrid (MG), besides the load perturbation, volatile nature in renewable output power along with energy storage system and inertia uncertainties cause large frequency deviations which may weaken the MG and could lead to complete blackout. Therefore, MG requires an intelligent, efficient and robust control method. Methods: In response to this challenge, this paper proposes a novel fuzzy logic approach (FLA) tuned multistage PID controller for frequency control of an islanded MG in the presence of high renewable penetration. The proposed controller is intended for principal parameter tuning of multistage PID controller under critical operating conditions as mentioned in the objective. Results: The real-time MG test system is considered to present the simulation results. The test system is modelled in Matlab/Simulink. The results are carried out under different operating scenarios and the performances of the proposed technique are compared with various existing techniques in the literature. Conclusions: The simulation outcomes divulge that the proposed controller is more superior in improving the frequency dynamics of the MG (in terms of settling time, overshoot and error reduction) under various disturbance conditions. Furthermore, the proposed controller is more robust to renewable and energy storage system uncertainties in MG and less sensitive to MG parametric variations as compared to other controllers in literature.

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Section: Related Work and Key Gapsmentioning

confidence: 99%

Section: Related Work and Key Gapsmentioning

confidence: 99%

A novel fuzzy tuned multistage PID approach for frequency dynamics control in an islanded microgrid

Annamraju

Nandiraju

2020

Int Trans Electr Energ Syst

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“…The AGC performance is highly dependent on how those generating units respond to the commands. The generation unit response characteristics is mainly affected by the control strategy that the unit utilizes, like robust control methods [23,24], intelligent algorithms [25,26] and optimization approaches [27,28]. This part can be solved by integrating appropriate and efficient controller in the wind turbine structure, which is demonstrated in this study.…”

Section: Introductionmentioning

confidence: 96%

On the Contribution of Wind Farms in Automatic Generation Control: Review and New Control Approach

et al. 2018

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Wind farms can contribute to ancillary services to the power system, by advancing and adopting new control techniques in existing, and also in new, wind turbine generator systems. One of the most important aspects of ancillary service related to wind farms is frequency regulation, which is partitioned into inertial response, primary control, and supplementary control or automatic generation control (AGC). The contribution of wind farms for the first two is well addressed in literature; however, the AGC and its associated controls require more attention. In this paper, in the first step, the contribution of wind farms in supplementary/load frequency control of AGC is overviewed. As second step, a fractional order proportional-integral-differential (FOPID) controller is proposed to control the governor speed of wind turbine to contribute to the AGC. The performance of FOPID controller is compared with classic proportional-integral-differential (PID) controller, to demonstrate the efficacy of the proposed control method in the frequency regulation of a two-area power system. Furthermore, the effect of penetration level of wind farms on the load frequency control is analyzed.

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“…However, local minimisation characterising these neural network (NN)-based methods encounter means using only proper initial conditions. FL controller-based AGC, GA controller-based AGC, and a neurofuzzy controller are available for multi-area controls [29][30][31][32][33][34][35]. Other available intelligent algorithms include a BFOA method for managing the tuning fraction-order-PID AGC controller, a GWO method embedded AGC with wind power penetration, and the ABC method for multi-area AGC tuning [36][37][38].…”

Section: Introductionmentioning

confidence: 99%

Optimal automatic generation controllers in a multi‐area interconnected power system with utility‐scale PV plants

2019

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The centralised utility-scale photovoltaic (PV) plants installation has greatly enlarged their percentage in the bulk power systems, along with the nature uncertainty for the balance of system power and loads. Consequently, the successful integration of solar PV power in large-scale power systems requires a reliable and efficient multi-area automatic generation control (AGC) system within the control centre. Specifically, area-AGCs that perform tie-line bias control, in which the area frequency regulates the tie-line power flow, must balance the operational control area supply power-and-demand loads within a pre-tuned parameter set. Traditional AGC control systems have area linear controllers that must be periodically tuned to manage the high fluctuation of PV power. A practical two-step tuning method to determine the optimal parameters of existing multi-area AGCs is presented. The proposed method is demonstrated on a five-area multi-machine power system with two large PV plants. The power system was equipped with the synchrophasor-based monitoring system, with a real-time simulation platform serving as the application host. Results indicated that the two-step tuning method provides optimal parameters for all the system AGCs over a wide range of PV penetration levels. Typical results demonstrated the effectiveness of the tuned multiarea AGCs under dynamic conditions and disturbances.

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Fuzzy Logic Based Fine-tuning Approach for Robust Load Frequency Control in a Multi-area Power System

Cited by 43 publications

References 16 publications

A novel fuzzy tuned multistage PID approach for frequency dynamics control in an islanded microgrid

A novel fuzzy tuned multistage PID approach for frequency dynamics control in an islanded microgrid

On the Contribution of Wind Farms in Automatic Generation Control: Review and New Control Approach

Optimal automatic generation controllers in a multi‐area interconnected power system with utility‐scale PV plants

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