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A Review on Perturb and Observe Maximum Power Point Tracking in Photovoltaic System Rozana Alik; Awang Jusoh; Tole Sutikno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 3: September 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i3.1439

Abstract

Solar energy is becoming popular and has drawn lots of attention from researchers nowadays. However, the output power of the photovoltaic (PV) arrays varies with solar irradiation and temperature, which affect the efficiency of PV arrays. Therefore, Maximum Power Point Tracking (MPPT) control technique is used to extract the maximum available power from the PV arrays. Perturb and Observe (P&O) algorithm is one of the favorite techniques frequently used due to its simplicity and low cost. Yet, the conventional P&O algorithm has several drawbacks, which leads to power loss and lack of efficiency. This paper presents comparison of the basic P&O algorithm with the modified P&O algorithm used for partial shading condition in terms of complexity, accuracy, cost, and basic concept of each method.
Application of static synchronous compensator and energy storage system for power system stability enhancement Mohammed Salheen Alatshan; Ibrahim Alhamrouni; Tole Sutikno; Awang Jusoh
Bulletin of Electrical Engineering and Informatics Vol 9, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v9i6.2319

Abstract

The major drivers of the quest for optimal placement of flexible alternating current transmission system (FACTS) devices are the quest for smart grids and economic indicators. The demand for energy and power stability will continue much as the astronomic growth in industries and increase in global population remains. The aim of this paper is to deliver a panoramic view of the use of static synchronous compensator (STATCOM) in combination with energy storage system (ESS) in order to enhance power stability. In this paper, it was observed that application of ESS is an important factor in attaining power stability and mitigating the effect of dynamics associated with the power supply system. The miniaturization of batteries and adequate placement of STATCOMs will be a challenge much as new power system are built or existing ones are expanded. The future of ESS is towards the adoption of renewable energy sources as against batteries. 
Multi-input interleaved DC-DC converter for hybrid renewable energy applications Ibrahim Alhamrouni; Mohamed Salem; Younes Zahraoui; Basilah Ismail; Awang Jusoh; Tole Sutikno
Bulletin of Electrical Engineering and Informatics Vol 11, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i3.3779

Abstract

The increasing demand for hybrid energy systems based on renewable energy sources has enabled the new dimension for multi-input converter (MIC). Various topologies have been introduced over the last decade. However, most of these topologies have several drawbacks in terms of design complexity or efficiency. Therefore, this research aims to introduce a multi-input DC-DC converter for hybrid renewable energy applications. The proposed multi-input converter is able to hybridize different sources such as solar PV array and PEMFC. Analysis and simulation have been carried out for the double input two-phase interleaved converter in operating the boost mode. The proposed converter is designed in matlab simulink by using interleaved boost converter method to achieve a boosted and smoothened output. The proposed topology has shown a remarkable performance in terms of output voltage boosting, voltage ripple reduction as well as enhanced efficiency through interleaved boosting technique. From the simulation results, it can be observed that the proposed converter can gain high efficiency which is higher than 97%. The obtained results have been validated with previously published works and the proposed technique has been proven to yield compatible and improved outcomes.
The design of energy storage based on thermoelectric generator and bidirectional converter Razman Ayop; Chee Wei Tan; Abba Lawan Bukar; Awang Jusoh; Nik Din Muhamad; Syed Norazizul Syed Nasir
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i3.pp1605-1613

Abstract

Energy storage plays an important role in the future of the power system. There are a lot of energy storage system (ESS) available and thermal energy storage shows a promising future. Conventionally, this system is based on a steam generator that converts heat energy to electrical energy and an electrical heater to convert electrical energy to heat energy. Nonetheless, there is still no proper ESS based on the thermoelectric generator (TEG), which can convert directly heat energy to electrical energy and vice versa. This paper proposed a power converter with a new controller for the thermal ESS based on the TEG. The bidirectional converter and the modified perturb and observe method are used to manage the energy transfer at the TEG. The thermal energy storage is based on the sensible approach, where the heat energy causes the temperature to increase. The results show that the thermal ESS based on the TEG is feasible since the energy can be stored and released from the proposed system.
Modernisation of DC-DC converter topologies for solar energy harvesting applications: A review Tole Sutikno; Hendril Satrian Purnama; Rizky Ajie Aprilianto; Awang Jusoh; Nuryono Satya Widodo; Budi Santosa
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i3.pp1845-1872

Abstract

Solar photovoltaic (PV) power generation has become increasingly important as a renewable source of energy due to the many benefits it offers. These benefits include the ease with which it can be allocated; the absence of noise; the longer life; the absence of pollution; the shorter amount of time required for installation; the high mobility and portability of its parts; and the capability of its output power to meet peak load requirements. DC-DC converters are typically incorporated into solar energy harvesting systems because they allow for the more efficient exploitation of solar cells. One of the difficulties is in the selection of a suitable converter since this has an effect on the operation of the PV system. This study discusses the modernisation of several different DC-DC converter topologies for solar energy harvesting systems. Some of these topologies are boost, buck-boost, single-ended primary-inductance converter (SEPIC), Cuk, and flyback. The topologies have been compared so that detailed information on the complexity of the hardware, the cost of implementation, the efficiency of the energy transfer elements, the tracking efficiency, and the efficiency of the converters can be provided. This paper will be useful as a handy reference in choosing the best converter topology for solar energy harvesting applications.
Comparative analysis of grid-connected bifacial and standard mono-facial photovoltaic solar systems Nor Hidayah Abdul Kahar; Nurul Hanis Azhan; Ibrahim Alhamrouni; Muhammad Nubli Zulkifli; Tole Sutikno; Awang Jusoh
Bulletin of Electrical Engineering and Informatics Vol 12, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i4.5072

Abstract

This paper describes the design of a solar photovoltaic (PV) system using simulation of PVsyst software. This work involves the simulation of bifacial and mono-facial PV solar in a large-scale solar system. For a bifacial system, the yearly total energy to the grid is 1699.6 MWh, with an average of 4.57 kWh/kWp/day. For a mono-facial system, the total energy to the grid over the year is 1645.3 MWh, with an average of 4.05 kWh/kWp/day. The average collection losses obtained for bifacial and mono-facial modules were 0.33 kWh/kWp/day and 0.82 kWh/kWp/day, respectively, with system losses of 0.15 kWh/kWp/day (bifacial) and 0.18 kWh/kWp/day (mono-facial). The average performance ratio for bifacial and mono-facial was 0.904 and 0.801, respectively. The bifacial PV system was able to generate profit in terms of Return on investment (ROI), around 357%, and reach a breakeven around 7 years. The payback period for a mono-facial PV system was around 8.1 years, with an ROI of 290.4%. This work mainly focuses on a comparative analysis of bifacial and mono-facial photovoltaics, emphasizing the effectiveness and the implementation suitability of bifacial photovoltaics over mono-facial PV solar systems.
A Chameleon algorithm for solving economic dispatch problem in microgrid system Younes Zahraoui; Ibrahim Alhamrouni; Saad Mekhilef; Tarmo Korõtko; Awang Jusoh; Tole Sutikno
Bulletin of Electrical Engineering and Informatics Vol 12, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i4.4700

Abstract

The economic power dispatch (ED) is considered a critical optimization issue in the power system and microgrid. There are several objectives through the economic load dispatch issues such as reducing the operating cost, total emission, or start-up operations. This paper presents a Chameleon swarm algorithm (CSA) for determining the optimal ED of distributed energy resources (DER) in the microgrid. The proposed technique numerically mimics and executes chameleons' behavioral processes to their quest for food, such as their action for rotating their eyes to identify and grab prey using the speed of their sticky tongues. In this study, the CSA has been applied to obtain the optimal power dispatch from DER using the photovoltaic (PV) plants, combined heat power (CHP) systems, and traditional diesel generators. The obtained results from the simulation are compared with the conventional metaheuristic algorithms which have been used in previous studies, such as particle swarm optimization (PSO), genetic algorithm (GA), and artificial bee colony (ABC). Experimentally, the proposed algorithm for solving the ED problem determined the best value of the power dispatch and high performance compared to other metaheuristics methods.