Journal of Renewable Energy, Electrical, and Computer Engineering
Journal of Renewable Energy, Electrical, and Computer Engineering (JREECE) is a peer-reviewed and open access journal that aims to promote and disseminate knowledge of the various topics and area of Renewable Energy, Electrical, and Computer Engineering. The scope of the journal encompasses the following: Energy, Renewable Energy, Solar and Low Energy Architecture, Energy Conservation in Buildings, Climatology and Meteorology (Geothermal, Wave and Tide, Ocean Thermal Energies, Mini Hydro Power and Hydrogen Production Technology), Energy policy, Socio-economic and Energy Efficiency and Management, Electrics, Robotics, Embedded Systems, DCS & PLC, Signal Processing, Image Processing & Computer Vision, Artificial Intelligence, Big Data & Data Mining, Wireless & Network. Journal of Renewable Energy, Electrical, and Computer Engineering (JREECE) published periodically two times annually (March and September) by Institute for Research and Community Service, Universitas Malikussaleh, Indonesia.
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<![CDATA[Performance Enhancement of Radial Distribution System via Network Reconfiguration: A Case Study of Urban City in Nepal ]]>
<![CDATA[Pandey, Govinda Prashad]]>;
<![CDATA[Shrestha, Ashish]]>;
<![CDATA[Mali, Bijen]]>;
<![CDATA[Singh, Ajay]]>;
<![CDATA[Jha, Ajay Kumar]]>
<![CDATA[ Journal of Renewable Energy, Electrical, and Computer Engineering Vol 1, No 1 (2021): March 2021 ]]>
Publisher : <![CDATA[Institute for Research and Community Service, Universitas Malikussaleh, Indonesia ]]>
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DOI: 10.29103/jreece.v1i1.3455
<![CDATA[Increasing unplanned energy demand increase has led to network congestion, increases power losses and poor voltage profile. To decrease these effects of an unmanaged power system, distribution network reconfiguration provides an effective solution. This paper deals with improving the power losses and poor voltage profile of the Phulchowk Distribution and Consumer Services (DCS) via the implementation of an optimum reconfiguration approach. A Genetic Algorithm (GA) is developed for the optimization. Further, it tries to answer to what extent can we improve the distribution system without overhauling the entire network. The developed simulation algorithm is firstly put into work on the IEEE 33 bus system to better its voltage profile and the poor power losses. The effectiveness of the developed system is validated as it reduced the voltage drop by 5.66% and the power loss by 25.96%. With the solution validated, the algorithm is further implemented in the case of Pulchowk DCS. After reconfiguring the system in different individual cases, optimum network reconfiguration is selected that improved the voltage profile by 3.85%, and the active and reactive power losses by 44.29% and 45.54% respectively from the base case scenario.]]>
<![CDATA[Analysis of Age Transformer Due to Annual Load Growth in 20 kV Distribution Network ]]>
<![CDATA[Roza, Indra]]>;
<![CDATA[Ananda, Yussa]]>;
<![CDATA[Siregar, Lisa Adriana]]>;
<![CDATA[Cahyadi, Catra Indra]]>;
<![CDATA[Junaidi, Junaidi]]>
<![CDATA[ Journal of Renewable Energy, Electrical, and Computer Engineering Vol 1, No 1 (2021): March 2021 ]]>
Publisher : <![CDATA[Institute for Research and Community Service, Universitas Malikussaleh, Indonesia ]]>
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DOI: 10.29103/jreece.v1i1.3685
<![CDATA[Distribution transformer is a component in distributing electricity from distribution substations to consumers. Damage to distribution transformers causes continuity of customer service to be disrupted (power cut or blackout occurs). The length of the PLN electricity network requires a transformer to distribute electricity to serve consumers and how to maintain the transformer. The daily load curve of a peak load for housing, shops and factories / industries varies. Load served 200 kVA distribution transformer cannot serve the load on housing, shops and factories / industry. The method used is the replacement of a distribution transformer with a capacity of one stage greater or the replacement of a distribution transformer with a capacity of two levels larger. The distribution transformer carried out by the research is a capacity of 200 kVA replaced by 250 kVA. The ability of a distribution transformer cannot accommodate a load which will increase as an area is advanced. Observations made by calculating the age of the transformer by assuming the annual load growth (r) = 3% = 0.3. Annual peak load (P) = 1.8 p, u increase in oil temperature at peak load (θo = 96.21 0C; 84.16 0C). The increase in the hottest temperature above the oil cover, the increase in the temperature of the hottest place above the oil (θg = 20 0C; 20 0C). The ratio of the load loss to the nominal load excitation loss (Q = 3; 30). By assuming the values of these methods it can be estimated that the life of a distribution transformer is 20 kV, a capacity of 200 kVA is 18 years.]]>
<![CDATA[The Effect of Charcoal on the Improvement of Grounding Resistance as a Soil Treatment in Reducing Grounding Resistance ]]>
<![CDATA[Partaoanan Harahap, Partaoanan Harahap]]>;
<![CDATA[Al-Ani, Waleed Khalid Ahmed]]>
<![CDATA[ Journal of Renewable Energy, Electrical, and Computer Engineering Vol 1, No 1 (2021): March 2021 ]]>
Publisher : <![CDATA[Institute for Research and Community Service, Universitas Malikussaleh, Indonesia ]]>
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DOI: 10.29103/jreece.v1i1.3619
<![CDATA[Current technological developments are very competitive with each other, both in electric power distribution systems or electronic equipment. Disturbances that occur are usually caused by short circuits and ground disturbances, or lightning strikes. These disturbances will result in a voltage drop or increase in voltage, which results in decreased system stability, endangers people's lives, and can damage electronic equipment. Coconut Shell Charcoal has a lower resistivity value than soil and has a larger pore structure to absorb more water, and has conductive properties. The results obtained from the comparison using dry coconut shell charcoal and wet coconut shell charcoal show that measurements using wet coconut shell charcoal are better (less resistance) than using dry coconut shell charcoal. Soil resistivity measurements will be much better at the maximum depth than the usual depth (110 cm), better than 10cm.]]>
<![CDATA[Economic Dispatch Analysis Using Equal Incremental Cost Method with Linear Regression Approach ]]>
<![CDATA[Hasibuan, Arnawan]]>;
<![CDATA[Kurniawan, Robi]]>;
<![CDATA[Isa, Muzamir]]>;
<![CDATA[Mursalin, Mursalin]]>
<![CDATA[ Journal of Renewable Energy, Electrical, and Computer Engineering Vol 1, No 1 (2021): March 2021 ]]>
Publisher : <![CDATA[Institute for Research and Community Service, Universitas Malikussaleh, Indonesia ]]>
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DOI: 10.29103/jreece.v1i1.3617
<![CDATA[The use of fuel is one thing that needs special attention, because most of the operating costs of a plant are fuel costs. One of the efforts to minimize the cost of generating fuel is called Economic dispatch. In this study, an Equal Incremental Cost method with a Linear Regression approach will be presented to obtain a minimum generation cost. The case taken is the Pangkalan Susu PLTU which operates two generating units. Based on the results of calculations using the Equal Incremental Cost method with the Linear Regression approach, the cost is -0.033% or an average of -13,111 $/hour.]]>
<![CDATA[Lighting Improvement in Building Renovation ]]>
<![CDATA[Putri, Syarifah Muthia]]>;
<![CDATA[Maizana, Dina]]>;
<![CDATA[Irhami, Muhammad Rizal]]>
<![CDATA[ Journal of Renewable Energy, Electrical, and Computer Engineering Vol 1, No 1 (2021): March 2021 ]]>
Publisher : <![CDATA[Institute for Research and Community Service, Universitas Malikussaleh, Indonesia ]]>
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DOI: 10.29103/jreece.v1i1.3612
<![CDATA[Lighting systems that are not up to standard will have an impact on eye fatigue so that the work results of the staff are not optimal. This problem can be solved by designing a lighting system according to the standards that have been determined through the results of previous studies. The 1st floor of the Faculty Engineering, Universitas Medan Area building requires lighting improvements to provide comfort to all staff and lecturers. This research was conducted by measuring the value of light intensity in each room and improving the lighting system which was analyzed through the shape of the room, the color of the walls, and the position of the lights. The results of the study provide additional light points and the position of the lamp according to the utilization. ]]>
<![CDATA[Voltage Profile Improvement of Distribution System via Integration of Distributed Generation Resources ]]>
<![CDATA[Pokhrel, Biswas Babu]]>;
<![CDATA[Shrestha, Ashish]]>;
<![CDATA[Phuyal, Sudip]]>;
<![CDATA[Jha, Shailendra Kumar]]>
<![CDATA[ Journal of Renewable Energy, Electrical, and Computer Engineering Vol 1, No 1 (2021): March 2021 ]]>
Publisher : <![CDATA[Institute for Research and Community Service, Universitas Malikussaleh, Indonesia ]]>
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DOI: 10.29103/jreece.v1i1.3519
<![CDATA[This study attempts to identify the causes and possible solutions for voltage profile issues in the lower land of Nepal, and is specifically focused on Laukahi feeder, a radial distribution system with an approximate length of 65 km and distributed at 11KV system voltage. Currently, the end-users feeding through this feeder are getting extremely poor voltage along with frequent interruptions in the power supply. In this study, a forward/ backward sweep algorithm is used to analyze the load flow of the distribution system, whereas ant colony optimization (ACO) technique is used to identify the best location for the Distributed Generator (DG) penetrations. After completion of this study, it is found that, the branch loss of the feeder can be reduced up to 87.22%, and voltage profile can be improved from 0.828 pu to 0.982 pu by integrating some form of DGs.]]>
<![CDATA[Performance Enhancement of Radial Distribution System via Network Reconfiguration: A Case Study of Urban City in Nepal ]]>
<![CDATA[Govinda Prashad Pandey]]>;
<![CDATA[Ashish Shrestha]]>;
<![CDATA[Bijen Mali]]>;
<![CDATA[Ajay Singh]]>;
<![CDATA[Ajay Kumar Jha]]>
<![CDATA[ Journal of Renewable Energy, Electrical, and Computer Engineering Vol 1, No 1 (2021): March 2021 ]]>
Publisher : <![CDATA[Institute for Research and Community Service, Universitas Malikussaleh, Indonesia ]]>
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DOI: 10.29103/jreece.v1i1.3455
<![CDATA[Increasing unplanned energy demand increase has led to network congestion, increases power losses and poor voltage profile. To decrease these effects of an unmanaged power system, distribution network reconfiguration provides an effective solution. This paper deals with improving the power losses and poor voltage profile of the Phulchowk Distribution and Consumer Services (DCS) via the implementation of an optimum reconfiguration approach. A Genetic Algorithm (GA) is developed for the optimization. Further, it tries to answer to what extent can we improve the distribution system without overhauling the entire network. The developed simulation algorithm is firstly put into work on the IEEE 33 bus system to better its voltage profile and the poor power losses. The effectiveness of the developed system is validated as it reduced the voltage drop by 5.66% and the power loss by 25.96%. With the solution validated, the algorithm is further implemented in the case of Pulchowk DCS. After reconfiguring the system in different individual cases, optimum network reconfiguration is selected that improved the voltage profile by 3.85%, and the active and reactive power losses by 44.29% and 45.54% respectively from the base case scenario.]]>
<![CDATA[Analysis of Age Transformer Due to Annual Load Growth in 20 kV Distribution Network ]]>
<![CDATA[Indra Roza]]>;
<![CDATA[Yussa Ananda]]>;
<![CDATA[Lisa Adriana Siregar]]>;
<![CDATA[Catra Indra Cahyadi]]>;
<![CDATA[Junaidi Junaidi]]>
<![CDATA[ Journal of Renewable Energy, Electrical, and Computer Engineering Vol 1, No 1 (2021): March 2021 ]]>
Publisher : <![CDATA[Institute for Research and Community Service, Universitas Malikussaleh, Indonesia ]]>
Show Abstract
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DOI: 10.29103/jreece.v1i1.3685
<![CDATA[Distribution transformer is a component in distributing electricity from distribution substations to consumers. Damage to distribution transformers causes continuity of customer service to be disrupted (power cut or blackout occurs). The length of the PLN electricity network requires a transformer to distribute electricity to serve consumers and how to maintain the transformer. The daily load curve of a peak load for housing, shops and factories / industries varies. Load served 200 kVA distribution transformer cannot serve the load on housing, shops and factories / industry. The method used is the replacement of a distribution transformer with a capacity of one stage greater or the replacement of a distribution transformer with a capacity of two levels larger. The distribution transformer carried out by the research is a capacity of 200 kVA replaced by 250 kVA. The ability of a distribution transformer cannot accommodate a load which will increase as an area is advanced. Observations made by calculating the age of the transformer by assuming the annual load growth (r) = 3% = 0.3. Annual peak load (P) = 1.8 p, u increase in oil temperature at peak load (θo = 96.21 0C; 84.16 0C). The increase in the hottest temperature above the oil cover, the increase in the temperature of the hottest place above the oil (θg = 20 0C; 20 0C). The ratio of the load loss to the nominal load excitation loss (Q = 3; 30). By assuming the values of these methods it can be estimated that the life of a distribution transformer is 20 kV, a capacity of 200 kVA is 18 years.]]>
<![CDATA[The Effect of Charcoal on the Improvement of Grounding Resistance as a Soil Treatment in Reducing Grounding Resistance ]]>
<![CDATA[Partaoanan Harahap Partaoanan Harahap]]>;
<![CDATA[Waleed Khalid Ahmed Al-Ani]]>
<![CDATA[ Journal of Renewable Energy, Electrical, and Computer Engineering Vol 1, No 1 (2021): March 2021 ]]>
Publisher : <![CDATA[Institute for Research and Community Service, Universitas Malikussaleh, Indonesia ]]>
Show Abstract
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DOI: 10.29103/jreece.v1i1.3619
<![CDATA[Current technological developments are very competitive with each other, both in electric power distribution systems or electronic equipment. Disturbances that occur are usually caused by short circuits and ground disturbances, or lightning strikes. These disturbances will result in a voltage drop or increase in voltage, which results in decreased system stability, endangers people's lives, and can damage electronic equipment. Coconut Shell Charcoal has a lower resistivity value than soil and has a larger pore structure to absorb more water, and has conductive properties. The results obtained from the comparison using dry coconut shell charcoal and wet coconut shell charcoal show that measurements using wet coconut shell charcoal are better (less resistance) than using dry coconut shell charcoal. Soil resistivity measurements will be much better at the maximum depth than the usual depth (110 cm), better than 10cm.]]>
<![CDATA[Economic Dispatch Analysis Using Equal Incremental Cost Method with Linear Regression Approach ]]>
<![CDATA[Arnawan Hasibuan]]>;
<![CDATA[Robi Kurniawan]]>;
<![CDATA[Muzamir Isa]]>;
<![CDATA[Mursalin Mursalin]]>
<![CDATA[ Journal of Renewable Energy, Electrical, and Computer Engineering Vol 1, No 1 (2021): March 2021 ]]>
Publisher : <![CDATA[Institute for Research and Community Service, Universitas Malikussaleh, Indonesia ]]>
Show Abstract
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DOI: 10.29103/jreece.v1i1.3617
<![CDATA[The use of fuel is one thing that needs special attention, because most of the operating costs of a plant are fuel costs. One of the efforts to minimize the cost of generating fuel is called Economic dispatch. In this study, an Equal Incremental Cost method with a Linear Regression approach will be presented to obtain a minimum generation cost. The case taken is the Pangkalan Susu PLTU which operates two generating units. Based on the results of calculations using the Equal Incremental Cost method with the Linear Regression approach, the cost is -0.033% or an average of -13,111 $/hour.]]>
