Power Quality Enhancement using Artificial Intelligence TechniquesКНИГИ » ТЕХНИЧЕСКИЕ НАУКИ
Название: Power Quality Enhancement using Artificial Intelligence Techniques Автор: Ahmed S. Abbas, Adel Ali Mohamed Abou El-Ela, Ragab A. El-Sehiemy Издательство: CRC Press Год: 2023 Страниц: 127 Язык: английский Формат: pdf (true) Размер: 10.19 MB
This text discusses sensitivity parametric analysis for the single tuned filter parameters and presents an optimization-based method for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems. It also highlights the importance of Artificial Intelligence (AI) techniques such as water cycle algorithms in solving power quality problems such as over-voltage and harmonic distortion.
This book proposes two procedures for improving the power quality (PQ) of the distribution systems. The considered PQ parameters are voltage profile, voltage deviation, voltage stability index and harmonic distortion in smart distribution systems. One of the most important features of smart distribution systems is the presence of distributed generation units (DGs). Therefore, the positive and negative effects of the DGs on distribution system PQ are studied. The first proposed procedure is concerned with determining the optimal placement and sizing of DGs and CBs in distribution system for improving the system PQ besides other technical, economic, and environmental benefits. Also, this book proposes single-tuned filters (STFs) as an effective tool for mitigating the harmonic distortion in distribution systems. A parametric analysis is presented for determining the effect of different filter parameters on its performance, which helps system designers obtain the optimal filter design that can mitigate specific harmonic orders.
Moreover, the second proposed procedure is presented for determining the optimal design, placement and number of STFs to mitigate harmonic distortion in a system. The proposed procedure considers the harmonic content of the inverter-based DGs in the distribution system and its effect in increasing the harmonic distortion. The power quality problems are formulated as optimization problems, which can be solved using the optimization techniques. Therefore, water cycle algorithm (WCA) is formulated as an optimization technique for solving the considered optimization problems. The effectiveness of the WCA is assured through a comparative study with other well-known optimization techniques such as Bacterial Foraging Optimization Algorithm (BFOA), Crow Search Algorithm (CSA), etc. Moreover, fundamental and harmonic load flows with and without filters are formulated for analyzing a distribution system and studying its power quality problems.
Different IEEE standard radial distribution systems of 33-buses and 69-buses and a real distribution system of 30-buses are used to assure the effectiveness of the two proposed procedures. The software packages of MATLAB 2015 are used, while the AC fundamental and harmonic load flow studies are carried out and the WCA is formulated.
The conventional optimization techniques are unable to globally optimize a system effectively. They are generally single path search algorithms, starting from an initial condition and improving the control variables in every iteration. These techniques require more time for execution and generally get trapped in a local optimal. Conventional methods are also unable to handle the complex nature of electrical power systems. In recent times, AI techniques have been implemented to overcome the abovementioned demerits of conventional optimization techniques. Different AI techniques are considered for solving the optimization problems in electrical power systems, such as genetic algorithm (GA), ant colony optimization, tabu search, simulated annealing, etc. Improvements in these AI techniques have also been suggested over the years. AI techniques present a better, faster, and accurate solution to an optimization problem than conventional techniques. AI techniques generally make use of multiple approaches to obtain an optimal solution, as they can remember past findings, learn and adapt their performance, plan their path forward, and act intelligently according to human or social intelligence. One of the recent AI optimization techniques is water cycle algorithm (WCA).
Features:
Presents a sensitivity parametric analysis for the single tuned filter parameters. Discusses optimization-based methods for solving the allocation problem of the distributed generation units and capacitor banks in distribution systems. Highlights the importance of Artificial Intelligence techniques (water cycle algorithm) for solving power quality problems such as over-voltage and harmonic distortion. Showcases a procedure for harmonic mitigation in active distribution systems using the single tuned harmonic filters. Helps in learning how to determine the optimal planning of the single tuned filters to mitigate the harmonic distortion in distorted systems.
It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, Power systems planning and analysis.
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Power Quality Enhancement using Artificial Intelligence Techniques 
Название: Power Quality Enhancement using Artificial Intelligence Techniques