Innovative AVR-LFC Design for a Multi-Area Power System Using Hybrid Fractional-Order PI and PIDD2 Controllers Based on Dandelion Optimizer

In this article, the problem of voltage and frequency stability in a hybrid multi-area power system including renewable energy sources (RES) and electric vehicles has been investigated. Fractional order systems have been used to design innovative controllers for both load frequency control (LFC) and automatic voltage regulator (AVR) based on the combination of fractional order proportional-integral and proportional-integral-derivative plus double derivative (FOPI–PIDD2). Here, the dandelion optimizer (DO) algorithm is used to optimize the proposed FOPI–PIDD2 controller to stabilize the voltage and frequency of the system. Finally, the results of simulations performed on MATLAB/Simulink show fast, stable, and robust performance based on sensitivity analysis, as well as the superiority of the proposed optimal control strategy in damping frequency fluctuations and active power, exchanged between areas when faced with step changes in load, the changes in the generation rate of units, and the uncertainties caused by the wide changes of dynamic values.

[1]  S. Aslam,et al.  Dandelion Optimizer-Based Combined Automatic Voltage Regulation and Load Frequency Control in a Multi-Area, Multi-Source Interconnected Power System with Nonlinearities , 2022, Energies.

[2]  A. Hossam-Eldin,et al.  A maiden robust FPIDD2 regulator for frequency-voltage enhancement in a hybrid interconnected power system using Gradient-Based Optimizer , 2022, Alexandria Engineering Journal.

[3]  Mohamed Abuagreb,et al.  Overview of Virtual Synchronous Generators: Existing Projects, Challenges, and Future Trends , 2022, Electronics.

[4]  Miao Chen,et al.  Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications , 2022, Eng. Appl. Artif. Intell..

[5]  N. Abbasy,et al.  Robust Control of Frequency Variations for a Multi-Area Power System in Smart Grid Using a Newly Wild Horse Optimized Combination of PIDD2 and PD Controllers , 2022, Sustainability.

[6]  Ziad M. Ali,et al.  Frequency control of the islanded microgrid based on optimised model predictive control by PSO , 2022, IET Renewable Power Generation.

[7]  Mohamed H. Hassan,et al.  Optimal Design of TD-TI Controller for LFC Considering Renewables Penetration by an Improved Chaos Game Optimizer , 2022, Fractal and Fractional.

[8]  Emmanuel Nduka Amaefule,et al.  Optimal linear quadratic Gaussian control based frequency regulation with communication delays in power system , 2022, International Journal of Electrical and Computer Engineering (IJECE).

[9]  Ch. Rami Reddy,et al.  Comparative Performance Assessment of Different Energy Storage Devices in Combined LFC and AVR Analysis of Multi-Area Power System , 2022, Energies.

[10]  Optimization of Reactive Power Dispatch Considering DG Units Uncertainty By Dandelion Optimizer Algorithm , 2022, International Journal of Renewable Energy Research.

[11]  I. Kamwa,et al.  Fractional Cascade LFC for Distributed Energy Sources via Advanced Optimization Technique Under High Renewable Shares , 2022, IEEE Access.

[12]  S. M. S. Hosseinimoghadam,et al.  Improving the Power Quality of Island Microgrid With Voltage and Frequency Control Based on a Hybrid Genetic Algorithm and PSO , 2022, IEEE Access.

[13]  Hossam Kotb,et al.  Frequency regulation of hybrid multi-area power system using wild horse optimizer based new combined Fuzzy Fractional-Order PI and TID controllers , 2022, Alexandria Engineering Journal.

[14]  J. Vasquez,et al.  The concept of direct adaptive control for improving voltage and frequency regulation loops in several power system applications , 2022, International Journal of Electrical Power & Energy Systems.

[15]  Asadur Rahman,et al.  Optimal control of electrical vehicle incorporated hybrid power system with second order fractional‐active disturbance rejection controller , 2021, Optimal Control Applications and Methods.

[16]  Adel M. Sharaf,et al.  A multi-objective AVR-LFC optimization scheme for multi-area power systems , 2021 .

[17]  Fatih Anayi,et al.  The Bees Algorithm Tuned Sliding Mode Control for Load Frequency Control in Two-Area Power System , 2021, Energies.

[18]  N. Aguila-Camacho,et al.  Switched Fractional Order Model Reference Adaptive Control for an Automatic Voltage Regulator , 2021, Volume 7: 17th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA).

[19]  Fatih Anayi,et al.  Load Frequency Control Based on the Bees Algorithm for the Great Britain Power System , 2021, Designs.

[20]  Shivneel Prasad,et al.  Two degree of freedom fractional PI scheme for automatic voltage regulation , 2021, Engineering Science and Technology, an International Journal.

[21]  Samuel Jonas Yeboah Et.al.  Gravitational Search Algorithm Based Automatic Load Frequency Control for Multi-Area Interconnected Power System , 2021 .

[22]  M. Nurujjaman,et al.  Voltage and frequency control in conventional and PV integrated power systems by a particle swarm optimized Ziegler–Nichols based PID controller , 2021, SN Applied Sciences.

[23]  G. Sambasiva Rao,et al.  Frequency and voltage stabilisation in combined load frequency control and automatic voltage regulation of multiarea system with hybrid generation utilities by AC/DC links , 2020 .

[24]  Mihailo Micev,et al.  RETRACTED: Artificial ecosystem-based optimization for optimal tuning of robust PID controllers in AVR systems with limited value of excitation voltage , 2020, The International Journal of Electrical Engineering & Education.

[25]  Seyedali Mirjalili,et al.  Improved Whale Optimization Algorithm applied to design PID plus second-order derivative controller for automatic voltage regulator system , 2020 .

[26]  Behnam Alizadeh,et al.  Designing the Robust Fuzzy PI and Fuzzy Type-2 PI Controllers by Metaheuristic Optimizing Algorithms for AVR System , 2020, IETE Journal of Research.

[27]  Frede Blaabjerg,et al.  Small-Signal Stability Analysis of Hybrid Power System With Quasi-Oppositional Sine Cosine Algorithm Optimized Fractional Order PID Controller , 2020, IEEE Access.

[28]  M. Elsisi,et al.  Design of neural network predictive controller based on imperialist competitive algorithm for automatic voltage regulator , 2019, Neural Computing and Applications.

[29]  Mohamed M. Ismail,et al.  Load Frequency Control for Multi Area Smart Grid based on Advanced Control Techniques , 2018, Alexandria Engineering Journal.

[30]  Sidhartha Panda,et al.  Multi-objective non dominated sorting genetic algorithm-II optimized PID controller for automatic voltage regulator systems , 2018, Journal of Intelligent & Fuzzy Systems.

[31]  Pierluigi Siano,et al.  Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review , 2018, Energies.

[32]  Shamik Chatterjee,et al.  PID controller for automatic voltage regulator using teaching–learning based optimization technique , 2016 .

[33]  Seyed Abbas Taher,et al.  Fractional order PID controller design for LFC in electric power systems using imperialist competitive algorithm , 2014 .