Novel Mathematical Design of Triple-Tuned Filters for Harmonics Distortion Mitigation

Article Engineering, Electrical & Electronic

Analytical optimization of the filtration efficiency of a group of single branch filters

Ryszard Klempka

Summary: This article analyzes the performance optimization of a group of single branch filters, focusing on the impact of harmonic reduction on filtration efficiency and the equivalent impedance of filter elements and mains. Formulas are established to design the optimal group of filters to improve harmonic reduction efficiency. The article also examines the impact of considering the resistances of filter elements and mains on the accuracy of the designated solution.

ELECTRIC POWER SYSTEMS RESEARCH (2022)

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Article Engineering, Multidisciplinary

A novel design of fourth-order harmonic passive filters for total demand distortion minimization using crow spiral-based search algorithm

Nehad M. Khattab et al.

Summary: This paper presents a mathematical design of a new fourth-order harmonic passive filter and proposes an optimal strategy for various design scenarios. The crow spiral-based search algorithm is used to solve the design problem, considering multiple power quality indices as nonlinear constraints. Additionally, a comparative investigation of different damped filters is conducted to assess the planned filter performance, confirming the success of the proposed filter design.

AIN SHAMS ENGINEERING JOURNAL (2022)

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Article Automation & Control Systems

Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems

Liying Wang et al.

Summary: This paper proposes a new bio-inspired meta-heuristic algorithm called artificial rabbits optimization (ARO), which is inspired by the survival strategies of rabbits in nature. ARO algorithm is developed by mathematically modeling these survival strategies to create a new optimizer. The effectiveness of ARO is tested and compared with other optimizers, showing superior performance in solving benchmark functions and engineering problems. Moreover, ARO is applied to the fault diagnosis of a rolling bearing, demonstrating its practicality in solving real-world problems.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2022)

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Proceedings Paper Energy & Fuels

Comparative Analysis of Double-Tuned Harmonic Passive Filter Design Methodologies Using Slime Mould Optimization Algorithm

Ahmed M. Zobaa et al.

Summary: The use of nonlinear loads in power systems leads to the generation of harmonics, affecting the power quality performance. Double-tuned filters have gained attention for mitigating these effects. Different techniques for optimal DTF design using optimization algorithms have been explored, with a new metaheuristic optimization algorithm called slime mould optimization algorithm (SMA) showing superior effectiveness compared to other algorithms such as salp swarm algorithm (SSA) and sine cosine algorithm (SCA).

2021 IEEE TEXAS POWER AND ENERGY CONFERENCE (TPEC) (2021)

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Article Engineering, Electrical & Electronic