Soedibyo Soedibyo
Institut Teknologi Sepuluh Nopember

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Kontrol Tegangan pada Sistem Hybrid Panel Surya-Turbin Angin Menggunakan Manajemen Penyimpanan Baterai Soedibyo Soedibyo; Rezi Delfianti; Feby Agung Pamuji; Mochamad Ashari
Jurnal Rekayasa Elektrika Vol 16, No 3 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v16i3.16010

Abstract

The purpose of this paper is to determine the control strategy of the renewable energy systems of hybrid solar panel power and wind turbines in maximizing voltage balance. The voltage control strategy needs to be designed, mainly when different load changes occur. If it is not done, it will affect the balance of power supplied to the load and usually damage the equipment used. Solar and wind energy sources significantly influence the stability of the applied voltage’s quality due to the fluctuating nature of renewable energy. This paper proposes control strategies for the use of PIs and the signal conditioning devices that are modified using the battery charging and discharging modeling while taking into account battery lifetime using PSIM software so that optimal voltage results from hybrid solar panel and wind turbine systems are obtained. The battery will be used as energy storage when the hybrid output power is over, which will then be used again when the hybrid output power is less than the load requirement. The signal conditioning device in this study uses five power converters, one AC to DC converter, two DC-DC boost converters, one bidirectional converter, 1 DC-AC bidirectional converter. Maximum output power uses MPPT, which is applied to the boost converter, whereas to regulate the voltage through charging and discharging the battery through the bidirectional buck-boost converter. This strategy provides the appropriate voltage on the AC side.
Optimal Design of Hydrogen Based Wind-Microhydro Using Genetic Algorithm Soedibyo Soedibyo; Heri Suryoatmojo; Imam Robandi; Mochamad Ashari
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 6: October 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The target of stand-alone hybrid power generation system was to supply the load demand with high reliability and economically as possible. To design these criteria the optimal design of the proposed configuration should be done by using intelligent optimization technique.  This study utilized Genetic Algorithm method to determine the optimal capacities of hydrogen, wind turbines and micro hydro unit according to the minimum cost objective functions that relate to these two factors. In this study, the cost objective function included the annual capital cost, annual operation maintenance cost, annual replacement cost and annual customer damage cost. The proposed method had been tested in the hybrid power generation system located in Leuwijawa village in Central Java of Indonesia. Simulation results showed that the optimum configuration can be achieved using 19.85 ton of hydrogen tanks, 21 x 100 kW wind turbines and 610 kW of micro hydro unit respectively. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1326
A Design of Standalone Hybrid PV/Wind/Fuel cell Generation System and Hydrogen Electrolyzer With Local Controller for Remote Areas Soedibyo Soedibyo; Sjamsjul Anam; Andri Pradipta
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 3, No 2 (2019)
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v3.i2.101

Abstract

Integration of fuel cell and electrolyzer on DC bus is a promising alternative to solve voltage fluctuation and balance of power problems in a standalone hybrid renewable power generation systems. The hybrid renewable power generation systems consist of photovoltaic, wind turbine, fuel cell and hydrogen electrolyzer. Each the component integrated on DC bus through the converter DC – DC using local controller to supply the inverter which connected to the islanded load. Local controller in each part will make the system become flexible if there are additional generating units in the future. The local control methods used in this hybrid renewable power generation system is MPPT and constant voltage control. MPPT control applied to photovoltaic and wind turbine converters to maximize power generation from photovoltaic and wind turbine. Constant voltage controller applied to the fuel cell and electrolyzer converters to control the DC bus voltage alternately. This research is a new design system for remote areas by utilizing the potensial of renewable energy in the area. The result show the power quality and continuity of electricity services.Keywords: hybrid, hydrogen electrolyzer, fuel cell, local controller, photovoltaic, wind turbine.
Modelling and Control System Design of Zeta Converter Modification with Coupled Inductor - Capacitor for Seawater Battery Application (Case Study at Indonesian Fishing Boat) Soedibyo Soedibyo; Mohamad Ridwan; Adam Febranzah; Andri Pradipta
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 1, No 1 (2017)
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v1.i1.3

Abstract

Seawater battery is a renewable energy resources that is generated by electrochemical process due to different water salinity. The electromotive force is determined by the number of membrane and ratio of water concentration. In fact, the seawater salinity is variant in ocean. It leads the electromotive force changes in every point (latitude and longitude) on the ocean. This research is presenting: 1) a model of seawater battery which is applied in fishing boat, 2) a design of zeta converter modiffication with coupled inductor and capacitor and PI controller to keep output voltage remain constant.The simulation result verifie the proposed system and control strategyKeywords: renewable energy resources, seawater battery, PI controller, zeta converter, coupled inductor, capasitor.
Predictive Duty Cycle of Maximum Power Point Tracking Based on Artificial Neural Network and Bootstrap Method for Hybrid Photovoltaic/ Wind Turbine System Considering Limitation Voltage of Grid Feby Agung Pamuji; Nurvita Arumsari; Mochamad Ashari; Hery Suryoatmojo; Soedibyo Soedibyo
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 4, No 2 (2020)
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v4.i2.119

Abstract

In this paper, we propose a new control-based the neural network and bootstrap method to get the predictive duty cycle for the maximum power point of hybrid Photovoltaic (PV) and Wind Turbine generator system (WTG) connected to 380 V grid. The neural network is designed to be controller by learning the data control of multi-input DC/ DC converter. The artificial neural network (ANN) needs many data for training then the ANN can give the predictive duty cycle to multi input DC/ DC converter. To get much data, we can use the bootstrap method to generate data from the real data. From Photovoltaic characteristic, we can get 344 real data after the data are made by bootstrap method we can get 8000 data. The 8000 data of PV can be used for training artificial neural network (ANN) of PV system. From wind turbine characteristic we can get 348 real data after the data are made by bootstrap method we can get 6000 data. The 6000 data of WT can be used for training artificial neural network of WT system. This new control has two responsibilities, are to shift the voltage of PV and WTG to optimum condition and to maintain the stability of grid system. From the simulation results those can be seen that the power of hybrid PV / WTG system using MPPT controller is in maximum power and has constant voltage and constant frequency of grid system.Keywords: bootstrap, maximum power tracking, neural network, stability.
MPPT Control System Based on Incremental Conductance and Constant Voltage using Coupled Inductor-Capacitor Zeta Converter in hybrid PV-Wind Turbine System Soedibyo Soedibyo; Mohammad Ridwan; Gusti Rinaldi Zulkarnain; Andri Pradipta; Sjamsjul Anam; Mochamad Ashari
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 1, No 2 (2017)
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v1.i2.24

Abstract

This paper proposes a method of maximum power point tracking control using Incremental Conductance employed in hybrid photovoltaic-wind turbine for DC micro-grid system. The rapid growth of renewable energy using photovoltaic (PV) and wind turbine due to low operational cost and easy to implementation. Improvement of the efficiency of PV and wind turbine based on incremental conductance is the solution to get maximum power in PV and Wind Turbine. The proposed method uses variable step to achieve maximum power with high speed tracking, high efficiency and low steady state error calculation. The performance of the MPPT technique has been applied in dc-dc boost converter. Moreover, Zeta Converter using Coupled Inductor-Capacitor is added for maintain constant voltage in passive load. This high gain converter can reach 311 Volt DC with 1000 W output power and high efficiency up to 90%. The effectiveness of proposed method is implemented in two hybrid system using PV and wind turbine source. Keywords: incremental conductance technique; maximum power point tracking; Zeta Converter using Coupled Inductor-Capacitor. 
Optimal Design Of Stand Alone Hybrid PV / WTGS / Battery for Health Center Electricity System in Timor Leste Alfredo Gusmao; Imam Robandi; Soedibyo Soedibyo
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 2, No 2 (2018)
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v2.i2.60

Abstract

The use of renewable energy sources as a power plant has become an alternative option to provide electrical energy sources in a health center in Timor Leste. In this study a standalone hybrid generator system design consisting of Photovoltaic (PV), Wind turbine generation system (WTGS) and battery as energy storage will be made. The PSO algorithm is used to design optimal generator and battery capacity to obtain economic value. Optimal results are obtained by taking into account the potential of wind and solar energy and loads. The application of hybrid generating systems with renewable energy sources has several problems that must be resolved. The energy generated by renewable energy power plants is intermittent. Then this system requires energy storage to achieve power balance. The simulation results in this study show how to get the optimal value by using PSO algoritm, to reach power balance with the optimal and economical design of generator and battery capacity. Keywords: Hybrid; PV; WTGS; Battery; Control, Optimal Sizing, PSO
Renewable Energy Source Enactment for Speed Control of BLDC Motor with Proportional Integral (PI) Controller Soedibyo Soedibyo; Muhammad Budi Rahayu Widodo; M. Ashari
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 4, No 1 (2020)
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v4.i1.107

Abstract

This paper present about speed control of Brushless Direct Current (BLDC) Motor 1 kW in which supplied using Photovoltaic (PV) Array 1.5 kW that simulated using MATLAB 2016a.  Speed control of BLDC exactly depend on voltage condition, so speed control mean voltage control. Furthermore, Proportional Integral (PI) controller will be implemented to get best performance of the system during irradiance change or some load implemented. For detail analysis purpose, the simulation will do in some case such by vary irradiation of PV, Vary the speed reference then vary of load. From simulation result we get the information that dynamic irradiance, load and speed reference will influence the response stability of speed so do Power Consumption, Voltage and Current response.Keywords: brushless direct current (BLDC) motor, photovoltaic (PV), proportional integral (PI) controller.