Type-2 fuzzy-based branched controller tuned using arithmetic optimizer for load frequency control

Anand, Abhishek; Aryan, Pulakraj; Kumari, Nisha; Raja, G. Lloyds

doi:10.1080/15567036.2022.2078444

Cited by 23 publications

(8 citation statements)

References 54 publications

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“…There are several control approaches for FR analysis, and performance assessment of distinct control schemes for grid stabilization have been noted e.g., extra degrees of emancipation control scheme [6], [7], disturbance observer assisted fractional higher-degree-of-freedom [8], H-infinity [9], and fuzzy logic control [10], [11]. On the other hand, most of these strategies are intricate, needing more configurable parameters, lengthier computation time, etc.…”

Section: B Literature Reviewmentioning

confidence: 99%

An Interactive Operating Demand Response Approach for Hybrid Power Systems Integrating Renewable Energy Sources

Saxena,

Shankar

2024

Prot. Control Mod. Power Syst.

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The increased deployment of renewable energy in existing power networks has jeopardized rotational inertia, resulting in system degradation and instability. To address the issue, this paper proposes a demand response strategy for ensuring the future reliability of the electrical power system. In addition, a modified fuzzy logic control topology-based two-degree-of-freedom (fractional order proportional integral)-tilt derivative controller is designed to regulate the frequency within a demand response framework of a hybrid two-area deregulated power system. The test system includes thermal power plants, renewable energy sources (such as wind, parabolic trough solar thermal plant, biogas), and electric vehicle assets. To adaptively tune the controller's coefficients, a quasi-opposition-based harris hawks optimization (QOHHO) algorithm is developed. The effectiveness of this algorithm is compared to other optimization algorithms, and the stability of the system is evaluated. The results demonstrate that the designed control algorithm significantly enhances system frequency stability in various scenarios, including uncertainties, physical constraints, and high penetration of renewables, compared to existing work. Additionally, an experimental assessment through OPAL-RT is conducted to verify the practicality of the proposed strategy, considering source and load intermittencies.

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Section: B Literature Reviewmentioning

confidence: 99%

An Interactive Operating Demand Response Approach for Hybrid Power Systems Integrating Renewable Energy Sources

Saxena,

Shankar

2024

Prot. Control Mod. Power Syst.

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“…Many power system configurations, including single-area, multi-area interconnected, and multi-area power interconnected deregulated power systems taking non-linearities (governor dead-band (GDB), generation rate constraint (GRC), and boiler dynamics (BD)) into account, had the frequency stability issue handled. 12 Moreover, a number of control strategies, including robust control methods, model predictive control (MPC), 13 fuzzy logic control, 14 H-infinity 15 and artificial intelligence control, have been used to address the AGC issue in power grid. Tilted integral derivative (TID) controller is a kind of feedback controller which is broadly applied in various industries, including process control and robotics.…”

Section: Literature Surveymentioning

confidence: 99%

“…The objective function is defined by utilizing four types of integral criteria commonly employed: integral squared error (ISE), integral absolute error (IAE), integral time-weighted squared Error (ITSE), and integral time-weighted absolute error (ITAE) 14. Based on Figure7, the plot illustrates the variation of the figure of demerit (FOD) of the objective function with each iteration.…”

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confidence: 99%

A modified tilt controller for AGC in hybrid power system integrating forecasting of renewable energy sources

Vidyarthi,

Kumar

2023

Optim Control Appl Methods

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This article emphasizes the intermittent characteristics of renewable energy sources (RESs) and explores the role of forecasting in improving the performance of the automatic generation control (AGC) mechanism of the interconnected power system. Due to hybridization of power system basic AGC controller (PID, TID, and ID‐T) are insufficient to stabilized the system parameters. So, a new type of fractional order integral tilted derivative controller (FIDN‐T) has been proposed, which give better performance in terms of settling time, undershoot and overshoot in case of RESs with real data forecasting also. FIDN‐T has been compared with some existing controller which give the results better than basic controller. In order to optimize the different parameters of the proposed controller, a new modified Opposition‐based Sea‐horse Optimization (OSHO) algorithm has been proposed. The OSHO is compared with a few existing, well‐known meta‐heuristic algorithms to show its superiority. The analysis has been conducted under different operating conditions, including step and random disturbances as well as the IEEE‐39 bus, to verify the robustness as well as adaptability of the suggested controller. The comprehensive results of the studies provide strong evidence in support of the effectiveness and efficacy of the suggested control methods and suggest that it has the potential to be implemented in real‐world power systems for improved performance and stability.

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“…By using this set of rules, it was possible to reach a satisfactory result. Other works using fuzzy [11][12][13] and flower pollination algorithms [14] presented good results for obtaining the PID parameters. The point here is that auto-tuning of PID controllers using artificial intelligence is a possibility.…”

Section: Introductionmentioning

confidence: 97%

Auto-Tuning PID Controller Based on Genetic Algorithm

Figueiredo¹,

Toso²,

Schmith³

2023

Disturbance Rejection Control

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The PID controller is widely used in industry and its tuning is always a concern for the plant stabilization. Several methods for auto-tuning the PID have been proposed over the years, however, the relay method is the most used even though this method may determine nonideal PID gains and cause some physical stress on the plant. Here is presented a proposal for an auto-tuning PID controller based on a genetic algorithm. Genetic algorithm is a well-known method that imitates the natural selection process in order to obtain approximate solutions to optimization problems. Here, the method is presented in underdamped plants with the hypothesis that any plant can be approximated to a second-order function. From the unit step response of the system, the maximum overshoot and peak time were used in the GA evolution to obtain optimal PID parameters. The system was tested with a set of parameters and compared to MATLAB PID tuner function. Using the rising time and the settling time of unit step response from the closed loop system as validation parameters, the GA presented better results than the MATLAB tuner for most cases.

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Type-2 fuzzy-based branched controller tuned using arithmetic optimizer for load frequency control

Cited by 23 publications

References 54 publications

An Interactive Operating Demand Response Approach for Hybrid Power Systems Integrating Renewable Energy Sources

An Interactive Operating Demand Response Approach for Hybrid Power Systems Integrating Renewable Energy Sources

A modified tilt controller for AGC in hybrid power system integrating forecasting of renewable energy sources

Auto-Tuning PID Controller Based on Genetic Algorithm

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