Various solar energy harvesting technologies have been developed and tested for agricultural applications. Renewable energies such as biomass, solar, and wind energy offer long-term energy sources for farmers and can replace other fuels. Many renewable energy technologies are used in agriculture, depending on the type of energy required, the availability of renewable energy sources, and the design of agricultural structures and processes. Solar energy is used in agriculture for a variety of purposes to increase self-sufficiency, save money and bills, and reduce pollution when replaced with other fuels. Solar collectors can be used to dry plants and heat homes, barns, and greenhouses. These include solar thermal and electrical devices such as photovoltaics, solar water pumps, solar dryers, solar greenhouse heating, livestock ventilation, and solar aeration pumps, which can be powered by photovoltaics (solar panels). This article describes different types of applications used for agricultural purposes.
{"title":"Solar Energy Applications for Agriculture: A Review","authors":"Khoja Manoj","doi":"10.26634/jps.10.3.19031","DOIUrl":"https://doi.org/10.26634/jps.10.3.19031","url":null,"abstract":"Various solar energy harvesting technologies have been developed and tested for agricultural applications. Renewable energies such as biomass, solar, and wind energy offer long-term energy sources for farmers and can replace other fuels. Many renewable energy technologies are used in agriculture, depending on the type of energy required, the availability of renewable energy sources, and the design of agricultural structures and processes. Solar energy is used in agriculture for a variety of purposes to increase self-sufficiency, save money and bills, and reduce pollution when replaced with other fuels. Solar collectors can be used to dry plants and heat homes, barns, and greenhouses. These include solar thermal and electrical devices such as photovoltaics, solar water pumps, solar dryers, solar greenhouse heating, livestock ventilation, and solar aeration pumps, which can be powered by photovoltaics (solar panels). This article describes different types of applications used for agricultural purposes.","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127264577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the modern world, all industries are striving for rapid expansion through the introduction of various advanced technologies, including the agricultural sector. The aim of this paper is to design a solar-powered automatic seed sowing mechanism. The main goal of this design is to create a low-cost, solar-powered, seed- sowing device that can be easily used by farmers. This gadget uses a solar panel to absorb solar energy, which is then converted to electrical energy. The entire device can be fully powered by solar energy, eliminating the need for fossil fuels. In the sowing mechanism, seeds are supplied through two hoppers on either side of the machine. The seeds come out of hopper and are collected by a fan-shaped device that picks the seed from the feeder and places them on the other side of the U-shaped container. The seeds are subsequently released into the ground through a circular aperture. The drive shaft of the machine is connected to this apparatus, which simultaneously rotates both of them. The planted seed is covered is with the soil is covered by new earth applied to the seeds using a plate adjuster. The whole process is automated through a programmed microcontroller without human intervention.
{"title":"Solar operated automatic seed planting device","authors":"Chandra Rao G. Poorna, B. Gayathri","doi":"10.26634/jps.10.1.18828","DOIUrl":"https://doi.org/10.26634/jps.10.1.18828","url":null,"abstract":"In the modern world, all industries are striving for rapid expansion through the introduction of various advanced technologies, including the agricultural sector. The aim of this paper is to design a solar-powered automatic seed sowing mechanism. The main goal of this design is to create a low-cost, solar-powered, seed- sowing device that can be easily used by farmers. This gadget uses a solar panel to absorb solar energy, which is then converted to electrical energy. The entire device can be fully powered by solar energy, eliminating the need for fossil fuels. In the sowing mechanism, seeds are supplied through two hoppers on either side of the machine. The seeds come out of hopper and are collected by a fan-shaped device that picks the seed from the feeder and places them on the other side of the U-shaped container. The seeds are subsequently released into the ground through a circular aperture. The drive shaft of the machine is connected to this apparatus, which simultaneously rotates both of them. The planted seed is covered is with the soil is covered by new earth applied to the seeds using a plate adjuster. The whole process is automated through a programmed microcontroller without human intervention.","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115244530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
India has been suffering from an acute shortage of electricity for several decades. The main reason is that there is a large gap between the demand and supply of electricity. Therefore, the government of India has recently promoted cogeneration in the sugar industry. The national power generation potential from bagasse cogeneration, according to the Ministry of New and Renewable Energy (MNRE), a study by the Government of India, is about 3,500 MW, while Maharashtra's potential is 1,250 MW. Indian Sugar Industries has the potential to produce an excess capacity of up to 5,000 MW in all sugar mills. Maharashtra again became India's leading sugar-producing state five years later. It overtook Uttar Pradesh in sugar production. The total sugar production in Maharashtra is 138 thousand metric tonnes for 2021–2022. In India, the sugar industry is the second-largest agro-industry and contributes significantly to the socioeconomic development of the country. Sugarcane is the main raw material for sugar production in India. Sugar cogeneration is the concept of producing two types of energy from one fuel. One form of energy must always be heated, and the other may be electricity or mechanical energy. In the cogeneration industry, very high-efficiency levels in the range of 75% to 90% can be achieved.
{"title":"Bagasse-Based Sugar Cogeneration Potential in India: A Source of Renewable Energy","authors":"Kadir Sheikh Samsher, Jain Manish","doi":"10.26634/jps.10.3.19177","DOIUrl":"https://doi.org/10.26634/jps.10.3.19177","url":null,"abstract":"India has been suffering from an acute shortage of electricity for several decades. The main reason is that there is a large gap between the demand and supply of electricity. Therefore, the government of India has recently promoted cogeneration in the sugar industry. The national power generation potential from bagasse cogeneration, according to the Ministry of New and Renewable Energy (MNRE), a study by the Government of India, is about 3,500 MW, while Maharashtra's potential is 1,250 MW. Indian Sugar Industries has the potential to produce an excess capacity of up to 5,000 MW in all sugar mills. Maharashtra again became India's leading sugar-producing state five years later. It overtook Uttar Pradesh in sugar production. The total sugar production in Maharashtra is 138 thousand metric tonnes for 2021–2022. In India, the sugar industry is the second-largest agro-industry and contributes significantly to the socioeconomic development of the country. Sugarcane is the main raw material for sugar production in India. Sugar cogeneration is the concept of producing two types of energy from one fuel. One form of energy must always be heated, and the other may be electricity or mechanical energy. In the cogeneration industry, very high-efficiency levels in the range of 75% to 90% can be achieved.","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122763316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Jayababu, Reddy G. Nageswara, Vimala Kumar Kurakula
This paper presents a literature survey on various issues related to Electric Vehicles (EV) from an Electric Power Systems (EPS) perspective. For the past few years, the EPS has been transforming exceptionally, necessitating a substantial change in the network configuration, operation, and control of conventional power systems. Especially, distribution networks have undergone a significant transformation. Moreover, new loads like Electric Vehicles are going to be integrated with the electrical grid, and these EV loads will modify the consumption of electrical energy. Electric Vehicles will have a great impact on the distribution network because of their nonlinear behavior. At present, most of the existing EVs are connected to the residential distribution network for charging, which usually increases the demand for residential power. Consequently, unplanned charging of a huge number of EVs will result in an excessive energy demand that will result in several issues, such as power outages, voltage fluctuations, thermal stress on the lines, and harmonic pollution.
{"title":"Critical review on integration of electric vehicles into residential distribution system","authors":"B. Jayababu, Reddy G. Nageswara, Vimala Kumar Kurakula","doi":"10.26634/jps.10.4.19215","DOIUrl":"https://doi.org/10.26634/jps.10.4.19215","url":null,"abstract":"This paper presents a literature survey on various issues related to Electric Vehicles (EV) from an Electric Power Systems (EPS) perspective. For the past few years, the EPS has been transforming exceptionally, necessitating a substantial change in the network configuration, operation, and control of conventional power systems. Especially, distribution networks have undergone a significant transformation. Moreover, new loads like Electric Vehicles are going to be integrated with the electrical grid, and these EV loads will modify the consumption of electrical energy. Electric Vehicles will have a great impact on the distribution network because of their nonlinear behavior. At present, most of the existing EVs are connected to the residential distribution network for charging, which usually increases the demand for residential power. Consequently, unplanned charging of a huge number of EVs will result in an excessive energy demand that will result in several issues, such as power outages, voltage fluctuations, thermal stress on the lines, and harmonic pollution.","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132619784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Prasad V. Manikanta, A. Lokesh, Kumar D. Dheeraj, V. Das, Rao G. Poornachandra
Electric Vehicle (EV) batteries are potential energy storage devices in microgrids. It can help to manage microgrid energy consumption by storing energy when there is a surplus (Grid-To-Vehicle, G2V) and returning energy to the grid (Vehicle-To-Grid, V2G) when there is a demand. This methodology can be expressed by developing infrastructure and management systems to implement this concept. This paper presents an architecture for implementing a V2G-G2V system in a microgrid using Layer 3 fast charging for electric vehicles. A microgrid test system is simulated that has a Direct Current (DC) fast charging station to interface electric vehicles. Simulation studies are performed to illustrate V2GG2V power transmission. The test results show the regulation of active power in the microgrid by electric vehicle batteries in G2V-V2G operating modes. The design of the charging station ensures minimal harmonic distortion of the current supplied to the network, and the controller provides good dynamic performance in terms of voltage stability on the DC bus.
{"title":"Vehicle to grid (V2G) and grid to vehicle (G2V) energy management system","authors":"Prasad V. Manikanta, A. Lokesh, Kumar D. Dheeraj, V. Das, Rao G. Poornachandra","doi":"10.26634/jps.10.2.18830","DOIUrl":"https://doi.org/10.26634/jps.10.2.18830","url":null,"abstract":"Electric Vehicle (EV) batteries are potential energy storage devices in microgrids. It can help to manage microgrid energy consumption by storing energy when there is a surplus (Grid-To-Vehicle, G2V) and returning energy to the grid (Vehicle-To-Grid, V2G) when there is a demand. This methodology can be expressed by developing infrastructure and management systems to implement this concept. This paper presents an architecture for implementing a V2G-G2V system in a microgrid using Layer 3 fast charging for electric vehicles. A microgrid test system is simulated that has a Direct Current (DC) fast charging station to interface electric vehicles. Simulation studies are performed to illustrate V2GG2V power transmission. The test results show the regulation of active power in the microgrid by electric vehicle batteries in G2V-V2G operating modes. The design of the charging station ensures minimal harmonic distortion of the current supplied to the network, and the controller provides good dynamic performance in terms of voltage stability on the DC bus.","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115618863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Archana, K. Sunil, Sai K. Mohanth, D. Sowmya, K. Aneela
A dual-source voltage inverter system is proposed to improve the power and consistency aspects of using a microgrid. Evaluation of the Proportional Integral (PI), the intelligent Fuzzy Logic Controller (FLC), and the developed control method is known as the Instantaneous Symmetrical Component Theory (ISCT). A Dual Voltage Source Inverter (DVSI) uses Distributed Energy Resources (DER) to exchange power and compensate for unbalanced and non-linear loads in the system. The direct-quadrature-zero transformation (Dq0) conversion is used to obtain the positive sequence voltage. To evaluate the system control method, an inverter connected to a three-phase, four-wire distribution combination is used. The proposed system is verified by MATLAB simulation methods using a PI controller and an intelligent FLC system.
{"title":"A grid-connected DVSI with features to enhance power quality","authors":"J. Archana, K. Sunil, Sai K. Mohanth, D. Sowmya, K. Aneela","doi":"10.26634/jps.10.1.18831","DOIUrl":"https://doi.org/10.26634/jps.10.1.18831","url":null,"abstract":"A dual-source voltage inverter system is proposed to improve the power and consistency aspects of using a microgrid. Evaluation of the Proportional Integral (PI), the intelligent Fuzzy Logic Controller (FLC), and the developed control method is known as the Instantaneous Symmetrical Component Theory (ISCT). A Dual Voltage Source Inverter (DVSI) uses Distributed Energy Resources (DER) to exchange power and compensate for unbalanced and non-linear loads in the system. The direct-quadrature-zero transformation (Dq0) conversion is used to obtain the positive sequence voltage. To evaluate the system control method, an inverter connected to a three-phase, four-wire distribution combination is used. The proposed system is verified by MATLAB simulation methods using a PI controller and an intelligent FLC system.","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114912620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MODELING AND SIMULATION OF MPPT BASED PV SYSTEM WITH\u0000SPWM CONTROLLED THREE-PHASE THREE-LEVEL\u0000DIODE-CLAMPED INVERTER","authors":"Dewangan Arti, Mishra Shruti, Kumar Dewangan Manoj","doi":"10.26634/jps.9.2.18463","DOIUrl":"https://doi.org/10.26634/jps.9.2.18463","url":null,"abstract":"","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123346599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
One of the major research topics in electrical engineering in recent years is load prediction. Short-term load forecasting is necessary for the design, operation, and management of the power system. It is used, among others, by utilities, system operators, electricity producers, and suppliers. Artificial Neural Networks (ANN) have been used for short-term load prediction. The work has been completed to ensure day-to-day operations. Here, the proposed neural networks were trained and tested using newly available data from Hubli Electricity Supply Company Limited (HESCOM). This paper presents a method for predicting the load of a power system based on a Neural Network (NN). Matrix Laboratory (MATLAB) software is used to create training and test simulations. The error was defined as Mean Absolute Percentage Error (MAPE).
{"title":"Short-term load forecasting using artificial neural network","authors":"Pawar Vidya, G. A. Shekhappa, S. Manjula","doi":"10.26634/jps.10.1.18841","DOIUrl":"https://doi.org/10.26634/jps.10.1.18841","url":null,"abstract":"One of the major research topics in electrical engineering in recent years is load prediction. Short-term load forecasting is necessary for the design, operation, and management of the power system. It is used, among others, by utilities, system operators, electricity producers, and suppliers. Artificial Neural Networks (ANN) have been used for short-term load prediction. The work has been completed to ensure day-to-day operations. Here, the proposed neural networks were trained and tested using newly available data from Hubli Electricity Supply Company Limited (HESCOM). This paper presents a method for predicting the load of a power system based on a Neural Network (NN). Matrix Laboratory (MATLAB) software is used to create training and test simulations. The error was defined as Mean Absolute Percentage Error (MAPE).","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121762574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sagar M. Ajay, Hiregoudar Bharat, Chandra S. M. Bipin, P. Bhushan
Electric Vehicles (EVs) have gained popularity in recent years due to its sustainability. However, the charging process for EVs can be inconvenient and time-consuming, particularly when relying on conventional charging stations that necessitate manual vehicle connections. This research aims to develop a wireless charging system for electric vehicles that incorporates position alignment technology. The objective is to enhance the charging experience for EV owners, improving efficiency while reducing the environmental impact associated with traditional charging methods. The system utilizes a combination of wireless charging technology and sensors to detect the position of the EV and align it with the charging pad using Internet of Things (IoT) technology. This ensures an optimized charging process, enabling quick and efficient charging of the EV.
{"title":"Wireless charging with position alignment for electric vehicles","authors":"Sagar M. Ajay, Hiregoudar Bharat, Chandra S. M. Bipin, P. Bhushan","doi":"10.26634/jps.11.1.19475","DOIUrl":"https://doi.org/10.26634/jps.11.1.19475","url":null,"abstract":"Electric Vehicles (EVs) have gained popularity in recent years due to its sustainability. However, the charging process for EVs can be inconvenient and time-consuming, particularly when relying on conventional charging stations that necessitate manual vehicle connections. This research aims to develop a wireless charging system for electric vehicles that incorporates position alignment technology. The objective is to enhance the charging experience for EV owners, improving efficiency while reducing the environmental impact associated with traditional charging methods. The system utilizes a combination of wireless charging technology and sensors to detect the position of the EV and align it with the charging pad using Internet of Things (IoT) technology. This ensures an optimized charging process, enabling quick and efficient charging of the EV.","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132735932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"COMPARATIVE ANALYSIS OF Z-SOURCE INVERTER CONTROL TECHNIQUES FOR PHOTOVOLTAIC APPLICATIONS","authors":"Sacid Endiz Mustafa, Akkaya Ramazan","doi":"10.26634/jps.7.2.16729","DOIUrl":"https://doi.org/10.26634/jps.7.2.16729","url":null,"abstract":"","PeriodicalId":421955,"journal":{"name":"i-manager's Journal on Power Systems Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133827902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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