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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Proceeding of the Electrical Engineering Computer Science and Informatics
Sanjeevikumar Padmanaban
Aalborg University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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NSGA-II and MOPSO based optimization for sizing of hybrid PV/wind/battery energy storage system Mohamed Izdin Hlal; Vigna K. Ramachandaramurthya; Sanjeevikumar Padmanaban; Hamid Reza Kaboli; Aref Pouryekta; Tuan Ab Rashid bin Tuan Abdullah
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (703.731 KB) | DOI: 10.11591/ijpeds.v10.i1.pp463-478

Abstract

This paper presents a Stand-alone Hybrid Renewable Energy System (SHRES) as an alternative to fossil fuel based generators. The Photovoltaic (PV) panels and wind turbines (WT) are designed for the Malaysian low wind speed conditions with battery Energy Storage (BES) to provide electric power to the load. The appropriate sizing of each component was accomplished using Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO) techniques. The optimized hybrid system was examined in MATLAB using two case studies to find the optimum number of PV panels, wind turbines system and BES that minimizes the Loss of Power Supply Probability (LPSP) and Cost of Energy (COE). The hybrid power system was connected to the AC bus to investigate the system performance in supplying a rural settlement. Real weather data at the location of interest was utilized in this paper. The results obtained from the two scenarios were used to compare the suitability of the NSGA-II and MOPSO methods. The NSGA-II method is shown to be more accurate whereas the MOPSO method is faster in executing the optimization. Hence, both these methods can be used for techno-economic optimization of SHRES. 
Maximum Power Point Tracking in PV Arrays with High Gain DC-DC Boost Converter Arsyad Cahya Subrata; Tole Sutikno; Sanjeevikumar Padmanaban; Hendril Satrian Purnama
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1987

Abstract

Photovoltaic (PV) system is an electricalgenerator that has been widely used. Ease of implementation,supported by a large number of potentials and needs of GreenEnergy, has become a factor in the increasing number andquickly applied to PV arrays. However, PV arrays haveconstrained related to generator conversion efficiency and theamount of power produced due to inconstant irradiation andtemperature. This problem can be solved by a MaximumPower Point Tracking (MPPT) approach. This article discussesthe MPPT technique with High Gain DC-DC Boost Converterusing the Perturb and Observe (P&O) algorithm. The sameP&O algorithm is also tested in the conventional converter toshow performance and superiority of each converter. Theresults obtained show the advantages and disadvantages ofeach converter used in MPPT by P&O algorithm.
Co-Authors Aref Pouryekta Hamid Reza Kaboli Hendril Satrian Purnama Mohamed Izdin Hlal Subrata, Arsyad Cahya Tole Sutikno Tuan Ab Rashid bin Tuan Abdullah Vigna K. Ramachandaramurthya