OPTIMAL PI CONTROLLER TUNING-GRADIENT-BASED OPTIMIZER-LOAD FREQUENCY-PV–WIND INTERCONNECTED SYSTEMS

DESIGN DETAILS
Load Frequency Control (LFC) plays a critical role in maintaining the operational stability of interconnected power systems by ensuring a continuous balance between power generation and load demand. However, the increasing integration of renewable energy sources (RESs), particularly photovoltaic (PV) systems and wind turbines (WTs), introduces significant challenges in frequency regulation due to their inherent stochasticity, intermittency, and nonlinear behavior.

To address these challenges, this paper proposes an enhanced Proportional–Integral (PI)-based LFC strategy optimized using the Gradient-Based Optimizer (GBO) for a two-area hybrid PV–WT power system. The optimal tuning of PI controller parameters is formulated as a nonlinear optimization problem, where GBO effectively navigates the search space through its gradient-inspired search mechanism combined with stochastic exploration capabilities. The algorithm incorporates a Gradient Search Rule (GSR) and a Local Escaping Operator (LEO), which collectively ensure a robust balance between global exploration and local exploitation while avoiding premature convergence.

Comprehensive time-domain simulations are performed under various operating conditions, including load disturbances, renewable generation variability, and inter-area power exchange dynamics, to assess system performance. The GBO-optimized PI controller demonstrates superior performance in terms of reduced frequency deviations, minimized overshoot, faster settling time, and improved tie-line power regulation when compared to conventional and existing optimization-based control approaches.

The control objective is formulated using the Integral of Time-weighted Absolute Error (ITAE) criterion, which enhances the dynamic response and robustness of the system. The simulation results validate the effectiveness of the proposed GBO-based LFC strategy in significantly improving the stability, adaptability, and dynamic performance of modern multi-area power systems with high renewable energy penetration.

REFERENCES
Reference Paper-1: Utilizing Electric Vehicles for LFC in Restructured Power Systems Using Fractional Order Controller
Author’s Name: Sanjoy Debbarma and Arunima Dutta
Source: IEEE Transactions on Smart Grid
Year:2016

Reference Paper-2: Antlion Optimizer-ANFIS Load Frequency Control for Multi-Interconnected Plants Comprising Photovoltaic and Wind Turbine
Author’s Name: Ahmed Fathy and, Ahmed M. Kassem
Source: ISA Transactions
Year:2018

Request source code for academic purpose, fill REQUEST FORM below,
http://www.verilogcourseteam.com/request-form

If you need Matlab p-code(encrypted files) to check the results, contact us by email to info@verilogcourseteam.com

You may also contact +91 7904568456 by WhatsApp Chat, for paid services. We are also available on Telegram and Signal.

Visit Website: http://www.verilogcourseteam.com/

Visit Our Social Media
Like our Facebook Page: https://www.facebook.com/VerilogCourseTeam/
Subscribe: https://www.youtube.com/@verilogteam
Subscribe: https://www.youtube.com/verilogcourseteammatlabproject
Subscribe: https://www.youtube.com/verilogcourseteam

Видео OPTIMAL PI CONTROLLER TUNING-GRADIENT-BASED OPTIMIZER-LOAD FREQUENCY-PV–WIND INTERCONNECTED SYSTEMS канала VERILOG COURSE TEAM-ELECTRICAL PROJECTS