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access icon free MOPSO-based optimal control of shunt active power filter using a variable structure fuzzy logic sliding mode controller for hybrid (FC-PV-Wind-Battery) energy utilisation scheme

  • Author(s): Adel A.A. Elgammal 1  and  Mohammed F. El-naggar 2, 3
    • View affiliations
    • Affiliations: 1: SMIEEE, MIET, Department of Energy, The University of Trinidad and Tobago UTT, Point Lisas Campus, Trinidad and Tobago ;
      2: Department of Electrical Engineering, Prince Sattam bin Abdulaziz University Al Kharj, Al Kharj 16278, Kingdom of Saudi Arabia ;
      3: Department of Electrical Engineering, Helwan University, Cairo, Egypt
  • Source: Volume 11, Issue 8, 28 June 2017, p. 1148 – 1156
    DOI:  10.1049/iet-rpg.2016.0440 , Print ISSN 1752-1416, Online ISSN 1752-1424
© The Institution of Engineering and Technology
Received 27/05/2016, Accepted 23/11/2016, Revised 13/10/2016, Published 23/11/2016

This paper presents an effective concept for hybrid fuel cell-photovoltaic-wind-battery active power filter (FC-PV-Wind-Battery) energy scheme based on the variable structure sliding mode fuzzy logic controller (SMFLC) using the multi-objective particle swarm optimisation (MOPSO). The parameters of the fuzzy logic control membership functions and the weighting factors of the SMFLC can be tuned by MOPSO in such an approach to optimise the dynamic performance of the shunt active power filter (SAPF) and minimise the total harmonic distortion (THD) of the source current waveform and voltage waveform of the hybrid (FC-PV-Wind-Battery). A group of objective functions was chosen to validate the dynamic performance of the SAPF and the effectiveness of the MOPSO-SMFLC. These selected fitness functions are: (i) minimising the error of the inverter capacitor DC voltage, (ii) minimising the THD of the output current and voltage of DC and AC sides and (iii) minimising the controller reaching time. A computer simulation study using Simulink/Matlab and experimental laboratory prototype were carried on to asses and compare the dynamic performance of the proposed MOPSO-SMFLC controller with the conventional proportional–integral–derivative, variable structure SMFLC, the feed-forward multilayer neural network controller and the variable structure SMFLC based on the single-objective particle swarm optimisation.

Inspec keywords: power harmonic filters; variable structure systems; battery storage plants; fuzzy control; active filters; wind power plants; photovoltaic power systems; optimal control; power generation control; harmonic distortion; neurocontrollers; particle swarm optimisation

Other keywords: hybrid fuel cell-photovoltaic-wind-battery active power filter energy scheme; variable structure fuzzy logic sliding mode controller; single-objective particle swarm optimisation; hybrid FC-PV-wind-battery energy utilisation scheme; multiobjective particle swarm optimisation; SMFLC weighting factors; MOPSO-SMFLC controller; smart grid technology; MOPSO-based optimal control; shunt active power filter; total harmonic distortion; inverter capacitor DC voltage; voltage waveform; source current waveform; variable structure SMFLC; proportional-integral-derivative; feed-forward multilayer neural network controller; THD minimisation; Simulink-Matlab; fuzzy logic control membership functions; distributed generation low-impact interface scheme

Subjects: Optimisation techniques; Solar power stations and photovoltaic power systems; Other power stations and plants; Neurocontrol; Optimisation techniques; Fuzzy control; Power supply quality and harmonics; Optimal control; Other power apparatus and electric machines; Control of electric power systems; Wind power plants; Multivariable control systems

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