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  • Open Access

    ARTICLE

    Mitigating the Dynamic Load Altering Attack on Load Frequency Control with Network Parameter Regulation

    Yunhao Yu1, Boda Zhang1, Meiling Dizha1, Ruibin Wen1, Fuhua Luo1, Xiang Guo1, Zhenyong Zhang2,*

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-19, 2026, DOI:10.32604/cmc.2025.070577 - 09 December 2025

    Abstract Load frequency control (LFC) is a critical function to balance the power consumption and generation. The grid frequency is a crucial indicator for maintaining balance. However, the widely used information and communication infrastructure for LFC increases the risk of being attacked by malicious actors. The dynamic load altering attack (DLAA) is a typical attack that can destabilize the power system, causing the grid frequency to deviate from its nominal value. Therefore, in this paper, we mathematically analyze the impact of DLAA on the stability of the grid frequency and propose the network parameter regulation (NPR)… More >

  • Open Access

    ARTICLE

    Robust Load Frequency Control in Hybrid Power Systems Using QOSCA-Tuned PID with EV Loads

    Pralay Roy1, Pabitra Kumar Biswas1, Chiranjit Sain2,*, Taha Selim Ustun3,*

    Energy Engineering, Vol.122, No.10, pp. 4035-4060, 2025, DOI:10.32604/ee.2025.068989 - 30 September 2025

    Abstract This study presents the use of an innovative population-based algorithm called the Sine Cosine Algorithm and its metaheuristic form, Quasi Oppositional Sine Cosine Algorithm, to automatic generation control of a multiple-source-based interconnected power system that consists of thermal, gas, and hydro power plants. The Proportional-Integral-Derivative controller, which is utilized for automated generation control in an interconnected hybrid power system with a DC link connecting two regions, has been tuned using the proposed optimization technique. An Electric Vehicle is taken into consideration only as an electrical load. The Quasi Oppositional Sine Cosine method’s performance and efficacy… More >

  • Open Access

    ARTICLE

    A Novel Cascaded TID-FOI Controller Tuned with Walrus Optimization Algorithm for Frequency Regulation of Deregulated Power System

    Geetanjali Dei1,2, Deepak Kumar Gupta1, Binod Kumar Sahu2, Amitkumar V. Jha3, Bhargav Appasani3,*, Nicu Bizon4,5,*

    Energy Engineering, Vol.122, No.8, pp. 3399-3431, 2025, DOI:10.32604/ee.2025.067357 - 24 July 2025

    Abstract This paper presents an innovative and effective control strategy tailored for a deregulated, diversified energy system involving multiple interconnected area. Each area integrates a unique mix of power generation technologies: Area 1 combines thermal, hydro, and distributed generation; Area 2 utilizes a blend of thermal units, distributed solar technologies (DST), and hydro power; and Third control area hosts geothermal power station alongside thermal power generation unit and hydropower units. The suggested control system employs a multi-layered approach, featuring a blended methodology utilizing the Tilted Integral Derivative controller (TID) and the Fractional-Order Integral method to enhance… More >

  • Open Access

    ARTICLE

    Heuristic-Based Optimal Load Frequency Control with Offsite Backup Controllers in Interconnected Microgrids

    Aijia Ding, Tingzhang Liu*

    Energy Engineering, Vol.121, No.12, pp. 3735-3759, 2024, DOI:10.32604/ee.2024.054687 - 22 November 2024

    Abstract The primary factor contributing to frequency instability in microgrids is the inherent intermittency of renewable energy sources. This paper introduces novel dual-backup controllers utilizing advanced fractional order proportional integral derivative (FOPID) controllers to enhance frequency and tie-line power stability in microgrids amid increasing renewable energy integration. To improve load frequency control, the proposed controllers are applied to a two-area interconnected microgrid system incorporating diverse energy sources, such as wind turbines, photovoltaic cells, diesel generators, and various storage technologies. A novel meta-heuristic algorithm is adopted to select the optimal parameters of the proposed controllers. The efficacy… More >

  • Open Access

    ARTICLE

    Optimal FOPID Controllers for LFC Including Renewables by Bald Eagle Optimizer

    Ahmed M. Agwa1, Mohamed Abdeen2, Shaaban M. Shaaban1,3,*

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5525-5541, 2022, DOI:10.32604/cmc.2022.031580 - 28 July 2022

    Abstract In this study, a bald eagle optimizer (BEO) is used to get optimal parameters of the fractional-order proportional–integral–derivative (FOPID) controller for load frequency control (LFC). Since BEO takes only a very short time in finding the optimal solution, it is selected for designing the FOPID controller that improves the system stability and maintains the frequency within a satisfactory range at different loads. Simulations and demonstrations are carried out using MATLAB-R2020b. The performance of the BEO-FOPID controller is evaluated using a two-zone interlinked power system at different loads and under uncertainty of wind and solar energies.… More >

  • Open Access

    ARTICLE

    Bilateral Contract for Load Frequency and Renewable Energy Sources Using Advanced Controller

    Krishan Arora1, Gyanendra Prasad Joshi2, Mahmoud Ragab3,4,5,*, Muhyaddin Rawa6,7,8, Ahmad H. Milyani6,7, Romany F. Mansour9, Eunmok Yang10

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3165-3180, 2022, DOI:10.32604/cmc.2022.026966 - 16 June 2022

    Abstract Reestablishment in power system brings in significant transformation in the power sector by extinguishing the possession of sound consolidated assistance. However, the collaboration of various manufacturing agencies, autonomous power manufacturers, and buyers have created complex installation processes. The regular active load and inefficiency of best measures among varied associates is a huge hazard. Any sudden load deviation will give rise to immediate amendment in frequency and tie-line power errors. It is essential to deal with every zone’s frequency and tie-line power within permitted confines followed by fluctuations within the load. Therefore, it can be proficient… More >

  • Open Access

    ARTICLE

    Adaptive Neuro-Fuzzy Based Load Frequency Control in Presence of Energy Storage Devices

    Pankaj Jood*, Sanjeev Kumar Aggarwal, Vikram Chopra

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 785-804, 2022, DOI:10.32604/iasc.2022.025217 - 03 May 2022

    Abstract Energy storage technologies are utilized for improving the primary frequency control in complex electrical systems. In this paper, the modeling and simulation of a two-area power system is done to evaluate and compare the impact of three different energy storage applications on load frequency control performance. Capacitive energy storage (CES), battery energy storage (BES), and superconducting magnetic energy storage (SMES) are considered for the study. On the basis of peak overshoot and settling time, the performance of these energy storage devices is compared. The power system consists of thermal, wind, and solar resources. All nonlinearities… More >

  • Open Access

    ARTICLE

    Load Frequency Control of Multi-interconnected Renewable Energy Plants Using Multi-Verse Optimizer

    Hegazy Rezk1,*, Mohamed A. Mohamed2, Ahmed A. Zaki Diab2, N. Kanagaraj1

    Computer Systems Science and Engineering, Vol.37, No.2, pp. 219-231, 2021, DOI:10.32604/csse.2021.015543 - 01 March 2021

    Abstract A reliable approach based on a multi-verse optimization algorithm (MVO) for designing load frequency control incorporated in multi-interconnected power system comprising wind power and photovoltaic (PV) plants is presented in this paper. It has been applied for optimizing the control parameters of the load frequency controller (LFC) of the multi-source power system (MSPS). The MSPS includes thermal, gas, and hydro power plants for energy generation. Moreover, the MSPS is integrated with renewable energy sources (RES). The MVO algorithm is applied to acquire the ideal parameters of the controller for controlling a single area and a More >

  • Open Access

    ARTICLE

    Optimal Tuning for Load Frequency Control Using Ant Lion Algorithm in Multi‐Area Interconnected Power System

    Nour EL Yakine Koubaa, Mohamed Menaaa, Kambiz Tehranib, Mohamed Boudoura

    Intelligent Automation & Soft Computing, Vol.25, No.2, pp. 279-294, 2019, DOI:10.31209/2018.100000007

    Abstract This paper presents the use of a novel nature inspired meta-heuristic algorithm namely Ant Lion Optimizer (ALO), which is inspired from the ant lions hunting mechanism to enhance the frequency regulation and optimize the load frequency control (LFC) loop parameters. The frequency regulation issue was formulated as an optimal load frequency control problem (OLFC). The proposed ALO algorithm was applied to reach the best combination of the PID controller parameters in each control area to achieve both frequency and tie-line power flow exchange deviations minimization. The control strategy has been tested firstly with the standard More >

  • Open Access

    ARTICLE

    Stability Analysis of Cyber-Physical Micro Grid Load Frequency Control System with Time-Varying Delay and Non-Linear Load Perturbations

    D. Vijeswaran1,*, V. Manikandan2

    CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 801-813, 2019, DOI:10.32604/cmes.2019.07793

    Abstract In a cyber-physical micro-grid system, wherein the control functions are executed through open communication channel, stability is an important issue owing to the factors related to the time-delay encountered in the data transfer. Transfer of feedback variable as discrete data packets in communication network invariably introduces inevitable time-delays in closed loop control systems. This delay, depending upon the network traffic condition, inherits a time-varying characteristic; nevertheless, it adversely impacts the system performance and stability. The load perturbations in a micro-grid system are considerably influenced by the presence of fluctuating power generators like wind and solar… More >

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