Services
“PIRC provides high-quality simulation projects for undergraduate (B.E / B.Tech) students. Our projects offer hands-on learning experiences in various engineering disciplines, ensuring practical skill development and academic excellence.”
“Demand – SIDE MANAGEMENT IN A GRID CONNECTED ENERGY STORAGE SYSTEM USING FUZZY LOGIC“
Demand-side management in a grid-connected energy storage system using fuzzy logic optimizes energy use, balances supply and demand, and enhances grid reliability and efficiency.
“Flying Squirrel Search MPPT optimization for PV systems“
“Specializing in MPPT optimization for PV systems, Flying Squirrel Search delivers efficient solutions, maximizing solar energy harvesting through advanced algorithms and cutting-edge technology.”
“GA Trained ANFIS MPPT for PV systems“
“Utilizing Genetic Algorithm training, our Adaptive Neuro-Fuzzy Inference System (ANFIS) MPPT optimizes solar PV systems, enhancing energy harvesting efficiency through intelligent decision-making and adaptation.”
“Horse Herd Optimization Based MPPT for PV systems“
“Implementing Horse Herd Optimization, our MPPT algorithm enhances PV system efficiency by dynamically adjusting to environmental changes, maximizing energy extraction for improved performance and reliability.”.
“Grey Wolf Optimization Based MPPT for PV systems“
“Employing Grey Wolf Optimization, our MPPT algorithm enhances PV system efficiency by dynamically tracking maximum power points, ensuring optimal energy extraction and system performance.”
“Hybrid ANN & KGMO Based MPPT for PV systems“
“Integrating artificial neural networks with KGMO techniques, our hybrid MPPT algorithm enhances PV system performance, optimizing energy extraction for increased efficiency and reliability.”
“Adaptive Fuzzy control Based MPPT for PV systems“
“Utilizing adaptive fuzzy control, our MPPT algorithm optimizes PV system performance dynamically, ensuring efficient energy extraction in varying environmental conditions for enhanced reliability and productivity.”
“Fuzzy Logic controller Based MPPT of Hybrid PV and WIND Microgrid system with BMS“
“A fuzzy logic controller optimizes MPPT in a hybrid PV-wind microgrid system, integrating a Battery Management System for efficient, reliable renewable energy utilization.”
“ANFIS MPPT Controller for Wind Energy System“
“The ANFIS MPPT Controller optimizes wind energy system efficiency by adapting to varying wind conditions, enhancing power output using neuro-fuzzy inference system methodologies. Essential for renewable integration..”
“Moth Flame Optimization Based PV MPPT Algorithm“
“The Moth Flame Optimization (MFO) based PV MPPT algorithm utilizes moths’ spiral flight pattern to optimize solar panel power output, efficiently tracking maximum power points.”
“Microgrid integration of hybrid PV and Wind system with AI controller based battery management system“
“Integration of a hybrid photovoltaic (PV) and wind system into a microgrid, utilizing an AI-controlled battery management system for efficient energy storage and distribution.”
“Ant Colony Optimization (ACO) tuned PID controller for two-area load frequency control“
“An ACO-tuned PID controller efficiently stabilizes two-area load frequency by optimizing gains via simulating ant behavior, ensuring robust, adaptive response to load changes.”
“Artificial Neural Network tuned PID controller for two-area load frequency control using MATLAB“
“An Artificial Neural Network (ANN) tuned PID controller optimizes two-area load frequency control in MATLAB, enhancing stability and response by adjusting PID parameters adaptively.”