Power Quality Enhancement using Artificial Intelligence Techniques

Sensitivity parametric analysis is used to optimize the allocation of distributed generation units and capacitor banks in distribution systems, while artificial intelligence techniques such as the water cycle algorithm are used to solve power quality problems like over-voltage and harmonic distortion. Harmonic mitigation in active distribution systems is achieved using single-tuned harmonic filters, with an optimal planning procedure outlined for mitigating harmonic distortion in distorted systems.

Format: Hardback
Length: 108 pages
Publication date: 14 March 2023
Publisher: Taylor & Francis Ltd

Sensitivity parametric analysis for single tuned filter parameters is a crucial topic in power system engineering, as it enables the optimization of distributed generation units and capacitor banks in distribution systems. This analysis helps to identify the most sensitive parameters that affect the system's performance and stability, allowing for efficient allocation and placement of these resources.

Optimization-based methods are essential for solving the allocation problem of distributed generation units and capacitor banks in distribution systems. These methods use mathematical models and algorithms to minimize the cost of power generation while ensuring that the system's power quality is maintained. Artificial intelligence techniques, such as water cycle algorithms, have been increasingly used in power quality problems such as over-voltage and harmonic distortion.

A procedure for harmonic mitigation in active distribution systems using single tuned harmonic filters is presented. This procedure involves determining the optimal planning of the single tuned filters to mitigate the harmonic distortion in distorted systems. By analyzing the system's harmonic content and selecting the appropriate filter parameters, it is possible to reduce the levels of harmonic distortion and improve the overall power quality of the distribution system.

This text serves as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, and Power systems planning and analysis. It provides a comprehensive overview of sensitivity parametric analysis, optimization-based methods, and artificial intelligence techniques for solving power quality problems in distribution systems. The procedure for harmonic mitigation using single tuned harmonic filters is also detailed, making it a valuable resource for practitioners in the field.

Weight: 390g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032439228