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International Journal of Smart Grid and Sustainable Energy Technologies
Published by Institut Teknologi Nasional Malang
ISSN : 25809121     EISSN : 2580779X     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy
International Journal of Smart Grid and Sustainable Energy Technologies (IJSGSET) is an international journal dedicated to the latest research advancements in the area of electrical engineering. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of Electrical Engineering.
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Articles 44 Documents
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Energy System Planning Considering Renewables and Pumped-storage Power Plants Costa, Jonas Carvalheira; Bortoni, Edson da Costa; Vieira, Paulo Alberto Viana; Faria, Victor Augusto Durães
International Journal of Smart Grid and Sustainable Energy Technologies Vol 1 No 2 (2017): IJSGSET TRANSACTIONS ON POWER, ELECTRONICS, TELECOMMUNICATION, AND CONTROL
Publisher : Department of Electrical Engineering, National Institute of Technology Malang - INDONESIA

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Abstract

Renewables  will  play  an  important  role  in  the generation for the next decades, but the great problem they face is the intermittency of the natural resource availability, mainly when considering  solar  and  wind  generation.  In  this  context,  the pumped-storage finds a great opportunity. Its operation consists of two mains mechanisms: to pump water to be stored in an upper reservoir when  there  is  surplus  of energy  in the system,  and  to generate as a regular power plant, with the stored water, when there  is  a  lack  of  energy  in  the  system.  This  paper  presents  an introductory  with  a  revision  of  the  world  consumption  and capacity  of  2030  considering  the  parcel  of  renewables,  and  a simulation  of  several  possibilities  of  the  energy  mix  in  various Scenarios.  The  simulations  consider  mainly  the  contribution  of pumped-storage  hydro.  The  possible  arrangements  of construction  pumped-storage  hydro,  costs,  and  a  mathematical model of linear optimization using pumped-storage are analyzed and  presented.  The  developed  method  is  applied  to  several Scenarios and the conclusions are obtained from that. 
Contribution on Improving Power Resilience in the Healthcare Facility Hartungi, Rusdy; Commins, Liam. J.
International Journal of Smart Grid and Sustainable Energy Technologies Vol 1 No 2 (2017): IJSGSET TRANSACTIONS ON POWER, ELECTRONICS, TELECOMMUNICATION, AND CONTROL
Publisher : Department of Electrical Engineering, National Institute of Technology Malang - INDONESIA

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Abstract

Focused on predicting and preventing electrical failures, this paper presents methodologies to those responsible for managing the electrical supplies in Healthcare and other similar environments. Particular attention has been directed to developing ways of exploiting the known relationships between thermal and electrical engineering disciplines as a means of monitoring and informing a timely intervention. There are two major studies presented in this paper which contrubute resilience in specific areas of Healtcare Facility. The first study is focusing on thermography, it is enhanced with an application of the finite difference method for modelling thermal performance under adverse conditions has been analysed.Thsi methos could provide a more robust solution for appraising new and existing installations. Study shows that early identification. A second study was carried out to examine the use of weather forecast-based electrical site load predictions as a possible precursor to automated load shed control which found reliable correlation between a site’s peak electrical load and the peak outside air temperature. The use of weather forecast-based electrical site load will help reducing unnecessary tripping of the power supply and this increase resilience.
Sizing and Evaluation of Battery Energy Storage Integrated with Photovoltaic Systems A. V. Vieira, Paulo; P. G. Silva, Felipe; F. Pinheiro, Bruna; C. Bortoni, Edson
International Journal of Smart Grid and Sustainable Energy Technologies Vol 2 No 1 (2018): IJSGSET TRANSACTIONS ON POWER, ELECTRONICS, TELECOMMUNICATION, AND CONTROL
Publisher : Department of Electrical Engineering, National Institute of Technology Malang - INDONESIA

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Abstract

This paper provides a review of the most common energy storage technologies and analysis of the impact of battery energy storage (BES) in a distribution network with penetration of photovoltaic. In order to reduce the intermittence impacts caused by solar panels (PV), is proposed the use an energy storage elements to stabilize the energy produced, dependent of the irradiation and temperature. Different storage technologies were considered as a function of the costs. A 100 kW PV system with integration of an energy storage was used for the simulated and analysis.
Investigation of The impact of Unbalanced and Non-sinusoidal Supply Voltages on Converters Hartungi, Rusdy
International Journal of Smart Grid and Sustainable Energy Technologies Vol 2 No 1 (2018): IJSGSET TRANSACTIONS ON POWER, ELECTRONICS, TELECOMMUNICATION, AND CONTROL
Publisher : Department of Electrical Engineering, National Institute of Technology Malang - INDONESIA

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Abstract

In this paper two input, current modulation strategies for matrix converters are experimentally analyzed under two different supply conditions: sinusoidal unbalanced voltages and non-sinusoidal balanced voltages. Both strategies use the Space Vector Modulation (SVM) technique in order to control the matrix converter accordingly to the input and output constraints. Strategy A modulates the input currents keeping the corresponding space vector in phase with the input voltage vector. Strategy B operates in order to keep the input current vector in phase with the positive sequence fundamental component of the input voltage vector. A comparison between the two strategies is made in terms of the reduction of the input current disturbances due to the unbalanced and non-sinusoidal voltage on the grid. It is found that a dynamic current modulation strategy, independent of the voltage disturbances such as Strategy B, is more effective for the reduction of the RMS value of input current disturbances. The validity of the theoretical investigation i.e. the effectiveness of the current modulation strategy conforms to experimental tests result carried out on a matrix converter prototype.
Intelligent Load Frequency Control considering Large Scale Photovoltaic Generation Uji Krismanto, Awan; Setiadi, Herlambang
International Journal of Smart Grid and Sustainable Energy Technologies Vol 2 No 1 (2018): IJSGSET TRANSACTIONS ON POWER, ELECTRONICS, TELECOMMUNICATION, AND CONTROL
Publisher : Department of Electrical Engineering, National Institute of Technology Malang - INDONESIA

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Abstract

Large-scale renewable energy integration involving large scale PV plant is becoming popular in the last decade due to global warming and climate change. PV plant offers clean and environmentally friendly electricity. However, PV plant also provides unwanted impact in term of frequency stability. Hence appropriate, load frequency control due to the integration of PV plant is inevitable. This paper proposed an intelligent approach based on a differential evolutional algorithm (DEA) to optimize the control parameters of load frequency control (LFC) device. Time domain simulation was carried out to analyses, the frequency nadir of the system. The simulation results suggested that a significant enhancement of system dynamic behavior was monitored when the control parameters of LFC were optimized using the proposed DEA. Moreover, the proposed algorithm provided a promising result to improve system dynamic response in the system with high penetration of PV power plant.
Emission Constrained Optimal Allocation of Generation using AWDO Technique Banerjee, Swaraj; Sarkar, Dipu
International Journal of Smart Grid and Sustainable Energy Technologies Vol 2 No 1 (2018): IJSGSET TRANSACTIONS ON POWER, ELECTRONICS, TELECOMMUNICATION, AND CONTROL
Publisher : Department of Electrical Engineering, National Institute of Technology Malang - INDONESIA

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Abstract

The current work introduces a meta-heuristic solution of an emission constrained optimal generation scheduling problem on the Distributed Energy Resources (DERs). The Combined Economic Emission Dispatch (CEED) problem reflects the environmental effects from the gaseous pollutants from fossil-fueled power generating plants. The CEED is a method for scheduling the generation considering both emission and generation cost meeting the needs of satisfying all operational constraints and load demand as well. The CEED problem has been formulated as a multi-objective problem and that later has been converted into a single objective function using price penalty factor. A comparatively new meta-heuristic nature-inspired global optimization method, Adaptive Wind Driven Optimization (AWDO), has been proposed to solve the CEED problem solution. The key objective is to solve the CEED problem with the proposed algorithm and analyze its effectiveness of with the help of the simulation results which later have been compared with other existing algorithms for two test systems (10 thermal units and 40 thermal units) and AWDO has proved to be the best and most powerful amongst them.
Risk Assessment of Power Generated from a Wind Turbine in Different Climate Cities in Indonesia Lumban Gaol, Irvan; O. P. Marpaung, Charles
International Journal of Smart Grid and Sustainable Energy Technologies Vol 2 No 1 (2018): IJSGSET TRANSACTIONS ON POWER, ELECTRONICS, TELECOMMUNICATION, AND CONTROL
Publisher : Department of Electrical Engineering, National Institute of Technology Malang - INDONESIA

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Abstract

In this paper, a risk analysis based on Monte Carlo Simulation has been used to examine the power generated from a wind turbine. There are five cities are selected based on the wind speed to be examined the power density generated from the wind turbine. The cities are Kupang, Tanjung Pinang, Krinci, Kotabaru, and Pontianak. Among the five cities, Kupang has the highest wind speed, while Pontianak has the lowest wind speed. In this study, the wind speed is assumed to be an unspecified parameter or a random variable. The Monte Carlo Simulation is run by using a software @RISK. The results show that the mean of power density generated from the wind turbine is found 171.23, 113.97, 71.28, 28.67, and 12.49 W/m2 for Kupang, Tanjung Pinang, Krinci, Kotabaru, and Pontianak respectively. The width of the confidence interval with the level of probability 90% is 110.30, 75.00, 69.10, 19.64, and 7.34 W/m2 for Kupang, Tanjung Pinang, Krinci, Kotabaru, and Pontianak respectively. The upper bound of the confidence intervals are 230.1, 154.7, 113.3, 39.27, and 16.30 W/m2 for Kupang, Tanjung Pinang, Krinci, Kotabaru, and Pontianak respectively, while the lower bounds are 119.8, 79.7, 44.2, and 19.63 W/m2 for Kupang, Tanjung Pinang, Krinci, Kotabaru, and Pontianak respectively. The probability of the power density will exceed the upper bound or will below the lower bound is 5%.
Stability Cogitated Electric Vehicle Charging Infrastructure Planning C.H. Dharmakeerthi; Mithulananthan Nadarajah
International Journal of Smart Grid and Sustainable Energy Technologies Vol 1 No 1 (2017): IJSGSET
Publisher : Department of Electrical Engineering, Institut Teknologi Nasional Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (242.181 KB) | DOI: 10.36040/ijsgset.v1i1.180

Abstract

Electrification of the transportation is taking place at an accelerated rate. Even though, electric vehicles (EV) evidently bring numerous environmental and economic benefits, their impact on power systems should not be overlooked. It has been identified that EV load characteristics can significantly affect power system voltage stability and small signal stability. Hence, it is important to consider mitigating of stability impacts right from the planning stage of bulk EV charging stations. However, unavailability of suitable stability evaluating indexes that could fit into planning algorithms is a hindrance. This study proposes two computationally efficient indexes to compare stability status in different planning options. The developed indexes have been tested, verified and utilized in a multi objective planning algorithm to identify a comprehensive solution, which satisfies the grid operator, EV customer and the charging facility investor optimally.
Modeling Solar Converters for Harmonic and Resonance Studies M. Pielahn; K. Mudunkotuwa; Dharshana Muthumuni
International Journal of Smart Grid and Sustainable Energy Technologies Vol 1 No 1 (2017): IJSGSET
Publisher : Department of Electrical Engineering, Institut Teknologi Nasional Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (302.548 KB) | DOI: 10.36040/ijsgset.v1i1.181

Abstract

Solar and renewable plants are increasingly being added to national grids. One technical drawback of renewable generators is that they tend to cause a significant harmonic distortion of the current and voltage waveforms. The harmonic distortions are amplified when the natural resonances of the grid interact with the injected harmonics from the power electronic based PV generation. A sustained harmonic distortion can lead to equipment failure, reduced plant output or a complete plant shutdown. Therefore, it is important to study harmonic interactions and resonance issues using fully detailed EMT models before the commissioning of a renewable plant. This paper outlines important features of modelling solar converters for the use of harmonic and resonance studies.
Economy-wide CO2 Emission Reduction Due to Carbon Tax in the Power Sector: A Structural Decomposition Analysis Charles O. P. Marpaung; Ram M. Shresta
International Journal of Smart Grid and Sustainable Energy Technologies Vol 1 No 1 (2017): IJSGSET
Publisher : Department of Electrical Engineering, Institut Teknologi Nasional Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (76.763 KB) | DOI: 10.36040/ijsgset.v1i1.182

Abstract

In this paper, a structural decomposition analysis based on an input-output framework has been developed to examine the factors, which affect the economy-wide CO2 emission changes due to the introduction of carbon tax in the Indonesian power sector during 2011-2030. There are three major components that affect the total economy-wide change in CO2 emissions, i.e., fuel mix-, structural-, and final demand- effects. The results show that, the CO2 mitigation under the carbon tax of US$200/tC would be 20.5 times higher than that with the carbon tax rate of US$5/tC. The fuel mix effect is found to be most influential in reducing the CO2 emission during the planning horizon under all of the carbon tax rates considered and is followed by the final demand- and structural-effects.

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