Bio-inspired algorithms in PID controller optimization

✍ Scribed by Ashour, Amira; Baskaran, Anand; Dey, Nilanjan; Kaliannan, Jagatheesan

Publisher: CRC Press
Year: 2018
Tongue: English
Leaves: 90
Series: CRC Focus Series; Intelligent signal processing and data analysis
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book discusses in-depth role of optimization to optimize the controller parameters. Many comparative studies to evaluate the performance of different optimization techniques are included with different scenarios of the load frequency controller for single area as well as multi-area thermal power generating unit considering different algorithms--

Abstract:

"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc." Read more...

✦ Table of Contents

Content: Load frequency control and automatic generation control --
Bio-inspired optimization algorithms --
Literature survey --
Load frequency control of single area thermal power system with biogeography based optimization technique --
Investigated thermal power system --
Controller design and objective function --
Biogeography based optimization technique --
Results and analysis --
Conclusion --
Automatic generation control of multi-area interconnected thermal power system with SMES unit and ACO- PID controller --
Thermal power system under study --
Superconducting magnetic energy storage (SMES) unit --
PID controller design --
Ant colony optimization --
Simulation results and discussions --
Conclusion --
FPA optimized PID controller for performance improvement of multi-area interconnected thermal power system with non-linearities --
Investigated multi-area interconnected power system --
Controller design and objective function --
Flower pollination algorithm (FPA) --
Simulation result and analysis --
Conclusion --
Challenges and future perspectives.

✦ Subjects

Interconnected electric utility systems -- Automation;Electric power systems -- Load dispatching -- Mathematics;Mathematical optimization;Nature-inspired algorithms;Cogeneration of electric power and heat;PID controllers;TECHNOLOGY & ENGINEERING / Mechanical

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