52,39 €
Bio-Inspired Algorithms in PID Controller Optimization
Bio-Inspired Algorithms in PID Controller Optimization
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Bio-Inspired Algorithms in PID Controller Optimization
Bio-Inspired Algorithms in PID Controller Optimization
El. knyga:
52,39 €
This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms. Comparative studies to evaluate the performance of different optimization techniques in terms of the settling time, overshoot and undershoot responses of the frequency deviations, tie-line power flow deviations, and the area control error are included, supported by examples. The book also includes different scenarios of the load frequency controller for single area…

Bio-Inspired Algorithms in PID Controller Optimization (el. knyga) (skaityta knyga) | knygos.lt

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This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms. Comparative studies to evaluate the performance of different optimization techniques in terms of the settling time, overshoot and undershoot responses of the frequency deviations, tie-line power flow deviations, and the area control error are included, supported by examples. The book also includes different scenarios of the load frequency controller for single area as well as multi-area thermal power generating unit considering different algorithms.

Key Features:

Highlights the importance of tuning the power system controller parameters with emphasis on bio-inspiration algorithms

Provides some applied applications/examples of the thermal power system

Focusses on power system applications based on the optimization algorithms with different single area and multi-area thermal power systems

Reports different cases on the interconnected power systems with providing optimal performance by optimizing the controller's parameters

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This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms. Comparative studies to evaluate the performance of different optimization techniques in terms of the settling time, overshoot and undershoot responses of the frequency deviations, tie-line power flow deviations, and the area control error are included, supported by examples. The book also includes different scenarios of the load frequency controller for single area as well as multi-area thermal power generating unit considering different algorithms.

Key Features:

Highlights the importance of tuning the power system controller parameters with emphasis on bio-inspiration algorithms

Provides some applied applications/examples of the thermal power system

Focusses on power system applications based on the optimization algorithms with different single area and multi-area thermal power systems

Reports different cases on the interconnected power systems with providing optimal performance by optimizing the controller's parameters

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