Particle Swarm Optimization and Modular Multilevel Converter Communication in Electrical Applications with Machine Learning Algorithm.

Autor: Kamal S; Department of Electronics and Communication Engineering, MVJ College of Engineering, Bengaluru, Karnataka, India., Sayeed F; Department of Electrical and Electronics Engineering, ACE College of Engineering, Trivandrum, Kerala, India., Ahanger TA; College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia., Subbalakshmi C; Department of Computer Science & Engineering, Guru Nanak Institutions Technical Campus, Hyderabad, Telangana, India., Kalidoss R; Sri Sivasubramaniya Nadar College of Engineering, Chennai, India., Singh N; Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, Guntur, Andhra Pradesh, India., Nuagah SJ; Department of Electrical Engineering, Tamale Technical University, Tamale, Ghana.
Jazyk: angličtina
Zdroj: Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Jun 09; Vol. 2022, pp. 8516928. Date of Electronic Publication: 2022 Jun 09 (Print Publication: 2022).
DOI: 10.1155/2022/8516928
Abstrakt: As a result of their natural capacity to recover harmonic current and reactive power from alternating current sources, power electronic devices utilized in conjunction with nonlinear loads have the potential to generate significant harmonic problems within the power system when employed in this way. When this occurs, voltage instability occurs, which must be avoided in order to maintain the consistency and dependability of the power system's power flow. With this approach, the series controller has been replaced by a multilevel modular controller in order to improve power handling capability and achieve higher modular levels with minimal distortions. The shunt compensator is the most effective way to achieve an extremely protected energy system as well as righteous steadiness in electric potential difference under a variety of load constraints. The DQ thesis is employed in this proposed converter to separate the harmonic components by establishing reference frame current, which is accomplished by machine learning techniques. As part of the constant mode operation, the PI controller contributes to maintaining the direct current-potential difference, which is given to the PWM generator. Optimization of the values of K p and K i is accomplished by the use of particle swarm optimization (PSO). The construction of this power system simulation model has been made feasible by the use of time-fluctuating characteristics modeling and the MATLAB programming environment. The new (unified power flow controller) UPFC research that has been made available is persuasive in its capacity to reduce distortions and watt-less power components while simultaneously enhancing efficiency and reducing costs.
Competing Interests: The authors of this manuscript declare that they do not have any conflicts of interest.
(Copyright © 2022 Shoaib Kamal et al.)
Databáze: MEDLINE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje