International Journal of Applied Power Engineering (IJAPE)最新文献

{"title":"Leveraging PSO algorithms to achieve optimal stand-alone microgrid performance with a focus on battery lifetime","authors":"Vicky Andria Kusuma, Aji Akbar Firdaus, S. S. Suprapto, D. F. U. Putra, Y. Prasetyo, Firillia Filliana","doi":"10.11591/ijape.v12.i3.pp293-299","DOIUrl":"https://doi.org/10.11591/ijape.v12.i3.pp293-299","url":null,"abstract":"This research endeavors to increase the lifespan of a battery utilized in a standalone microgrid system, a self-sufficient electrical system that consists of multiple generators that are not connected to the main power grid. This type of system is ideal for use in remote locations or areas where the grid connection is not possible. The sources of energy for this system include photovoltaic panels, wind turbines, diesel generators, and batteries. The state of charge (SOC) of the battery is used to determine the amount of energy stored in it. The particle swarm optimization (PSO) method is applied to minimize energy generation costs and maximize battery life. The results show that battery optimization can decrease energy generation costs from Rp 5,271,523.03 ($338.64 in USD) to Rp 13,064,979.20 ($839.30 in USD) while increasing the battery's lifespan by 0.42%, with losses of 7.22 kW and 433.29 kVAR, and also a life loss cost of Rp 5,499/$0.35.","PeriodicalId":340072,"journal":{"name":"International Journal of Applied Power Engineering (IJAPE)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122719045","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":"Using machine learning prediction to design an optimized renewable energy system for a remote area in Italy","authors":"Ali Rezaei, Afshin Balal, Yaser Pakzad Jafarabadi","doi":"10.11591/ijape.v12.i3.pp331-340","DOIUrl":"https://doi.org/10.11591/ijape.v12.i3.pp331-340","url":null,"abstract":"Due to the lack of fossil fuels, there is a significant demand to employ renewable energy systems (RES) worldwide. This paper proposes designing an optimized RES for a remote microgrid that relies solely on solar and wind sources. The proposed RES aims to provide reliable and efficient energy to the microgrid by using machine learning algorithms to forecast the power output of the solar and wind sources. This forecasting will help the system to anticipate and adjust to changes in the weather patterns that may affect the availability of solar and wind. In addition, the system advisor model (SAM) software is used to design the hybrid solar/wind system, considering factors such as the size of the microgrid and the available resources. The system comprises a 60-kW wind system of ten turbines and a 100-kW PV system spread out over the houses. The results show that random forest regression (RFR) models achieved a high level of accuracy in predicting solar power generation, as evidenced by their low mean squared error (MSE) and high R² values. Additionally, a proposed hybrid system can generate enough energy to meet the area's needs.","PeriodicalId":340072,"journal":{"name":"International Journal of Applied Power Engineering (IJAPE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114899466","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":"An analysis of the prospects and efficiency of floating and overland photovoltaic systems","authors":"Khalil Saadaoui, K. S. Rhazi, Youssef Mejdoub, A. Aboudou","doi":"10.11591/ijape.v12.i2.pp144-152","DOIUrl":"https://doi.org/10.11591/ijape.v12.i2.pp144-152","url":null,"abstract":"<span lang=\"EN-US\">The world's increasing demand for energy coupled with dwindling natural resources has spurred the need for alternative and renewable energy sources. However, one of the biggest drawbacks of renewable energy is its intermittency. Currently, most of the world's electrical energy comes from thermal power and nuclear energy combined. Despite being heavily reliant on energy imports, Morocco has made progress in developing its solar energy capacity with an installed capacity of 760 MW, 200 MW of which comes from photovoltaics. One way for Morocco to further increase its renewable energy production is through floating solar power, which utilizes the water surface of dams and reservoirs. The challenge with this approach is to secure the floating solar panels to prevent them from being blown about by wind and other elements. Like onshore solar power, offshore solar power also utilizes maximum power point tracking (MPPT) technology to maximize energy production. To compare the efficiency of terrestrial and marine solar power systems, the design and simulation of a solar PV system with MPPT through a boost converter was carried out using MATLAB/Simulink models. The study also examined the impact of water flow characteristics on the output of solar energy from floating panels.</span><br /><!--[if gte mso 9]><xml> \u0000 <o:DocumentProperties> \u0000 <o:Version>16.00</o:Version> \u0000 </o:DocumentProperties> \u0000</xml><![endif]--><!--[if gte mso 9]><xml> \u0000 <w:WordDocument> \u0000 <w:View>Normal</w:View> \u0000 <w:Zoom>0</w:Zoom> \u0000 <w:TrackMoves/> \u0000 <w:TrackFormatting/> \u0000 <w:HyphenationZone>21</w:HyphenationZone> \u0000 <w:PunctuationKerning/> \u0000 <w:ValidateAgainstSchemas/> \u0000 <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> \u0000 <w:IgnoreMixedContent>false</w:IgnoreMixedContent> \u0000 <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> \u0000 <w:DoNotPromoteQF/> \u0000 <w:LidThemeOther>MS</w:LidThemeOther> \u0000 <w:LidThemeAsian>JA</w:LidThemeAsian> \u0000 <w:LidThemeComplexScript>AR-SA</w:LidThemeComplexScript> \u0000 <w:Compatibility> \u0000 <w:BreakWrappedTables/> \u0000 <w:SnapToGridInCell/> \u0000 <w:WrapTextWithPunct/> \u0000 <w:UseAsianBreakRules/> \u0000 <w:DontGrowAutofit/> \u0000 <w:SplitPgBreakAndParaMark/> \u0000 <w:EnableOpenTypeKerning/> \u0000 <w:DontFlipMirrorIndents/> \u0000 <w:OverrideTableStyleHps/> \u0000 </w:Compatibility> \u0000 <w:DoNotOptimizeForBrowser/> \u0000 <m:mathPr> \u0000 <m:mathFont m:val=\"Cambria Math\"/> \u0000 <m:brkBin m:val=\"before\"/> \u0000 <m:brkBinSub m:val=\"--\"/> \u0000 <m:smallFrac m:val=\"off\"/> \u0000 <m:dispDef/> \u0000 <m:lMargin m:val=\"0\"/> \u0000 <m:rMargin m:val=\"0\"/> \u0000 <m:defJc m:val=\"centerGroup\"/> \u0000 <m:wrapIndent m:val=\"1440\"/> \u0000 <m:intLim m:val=\"subSup\"/> \u0000 <m:naryLim m:val=\"undOvr\"/> \u0000 </m:mathPr></w:WordDocument> \u0000</xml><![endif]--><!--[if gte mso 9]><xml> \u0000 <w:LatentStyles DefLockedState=\"false\" DefUnhideWhenUsed=\"false\" \u0000 DefSemiHidden=\"false\" DefQFormat=\"false\" DefPriority=\"99\" \u0000 LatentStyleCount=\"376\"> \u0000 <w:LsdException Locked=\"false\" Priority=\"0\" QFormat=\"true\" Name=\"Normal\"/> \u0000 <w:LsdException Locked=\"false\" Priority=\"9\" QForma","PeriodicalId":340072,"journal":{"name":"International Journal of Applied Power Engineering (IJAPE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125803156","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":"Techno-economic assessment of solar technologies to meet hospitals energy needs","authors":"Guillem Guerrero, A. Ramos","doi":"10.11591/ijape.v12.i2.pp162-178","DOIUrl":"https://doi.org/10.11591/ijape.v12.i2.pp162-178","url":null,"abstract":"Hospitals present one of the highest energy consumptions per surface unit, meaning that on-site renewable energy generation and energy efficiency improvements are key to lower hospitals energy demand, external energy dependence and greenhouse gases (GHG) emissions. In this work, the feasibility from the techno-economical point of view of the installation of three solar-based energy generating technologies in hospitals in different climate locations in Europe is addressed. The potential of solar energy technologies to cover the energy needs of the hospitals under study is conducted proposing a novel design and sizing optimization methodology for on-roof installations. The profitability of the different solar-based installations will vary depending on the solar technology output (electrical, thermal or both) and on the type of energy needs of the hospital; but in all cases, profitability is mostly influenced by the price of the current energy source supplying the hospital energy needs. Levelized cost of energy (LCOE) values for on-roof photovoltaic (PV), solar thermal (ST), and photovoltaic-thermal (PV-T) installations obtained are in the range of 0.028-0.056, 0.051-0.096, and 0.053-0.128 €/kWh, respectively; for locations in latitudes from 37 N (Seville) to 60 N (Oslo) in Europe. Results from this work aim to serve as reference for similar studies in a wide range of climates.","PeriodicalId":340072,"journal":{"name":"International Journal of Applied Power Engineering (IJAPE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125629848","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":"Development of real-time energy metering bypass and remote reporting system for registered consumers","authors":"Francis Victor, K. E. Jack, Justice Chikezie Anunuso, Kehinde Bello, L. Olatomiwa, Kennedy Omokere Oghenekaro","doi":"10.11591/ijape.v12.i2.pp179-189","DOIUrl":"https://doi.org/10.11591/ijape.v12.i2.pp179-189","url":null,"abstract":"Every economy is driven by energy supply, the quantity of energy produced, transmitted, and distributed needs to be paid for by consumers. This leads to a pay-as-you-go metering system. Paying for every energy unit used helps the energy company to improve its quality delivery. Most developing countries around the globe have not attended to their profit margin even with the introduction of the pay-as-you-go metering system. Given that some local energy users seem to bypass the metering system, thereby accessing energy without passing through the metering system, this usually hampers the productivity of the distribution companies and results in a huge revenue loss. To address this issue, this research presents a real-time energy bypass and remote reporting model to detect metering bypass from registered consumers. An inspectorate metering system was incorporated in the energy supply line to compare the amount of current-voltage supplied to consumers against the amount being utilized by the consumers to achieve the detection and reporting of the metering bypass incident by registered consumers. As a result, a signal is sent to the energy company through a remote server and the incident of the metering bypass would be displayed on a monitoring dashboard in case of disparity between the inspectorate and consumer metering system.","PeriodicalId":340072,"journal":{"name":"International Journal of Applied Power Engineering (IJAPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121835881","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":"Optimum-cost-based renewable energy chart considering micro-hydro, solar-PV, and hybrid systems using HOMER suitable for eastern Himalayan regions of India","authors":"A. Parida, Bikuk Lomdak","doi":"10.11591/ijape.v12.i2.pp126-135","DOIUrl":"https://doi.org/10.11591/ijape.v12.i2.pp126-135","url":null,"abstract":"The climatic change issues can only be addressed by adding more and more renewable energy into the energy chart for any region. However, the criteria for the composition of the chart shall be based on availability, cost-effectiveness, complementary nature, and optimally fit with the load curve. Based on the geographical diversity and availability of renewable energy in India, the energy chart is different for different regions. In this paper, an attempt has been made to prepare a renewable energy chart based on the equality constraint optimization technique for economical load sharing between the locally available renewable energy sources. The HOMER-based software platform has been utilized for cost analysis purposes. Based on locally available renewable energy sources, micro-hydro, and solar-PV are considered for analysis. In this paper, the electrical load of an educational institution situated in the eastern Himalayan region is considered for the case study. The data received from the case study has been utilized for the preparation of an appropriate and economically viable renewable energy chart for the mentioned region. Even though the analysis model applies to a particular region, it can be suitably modified for other regions also.","PeriodicalId":340072,"journal":{"name":"International Journal of Applied Power Engineering (IJAPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129281042","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":"A review of application of artificial intelligence for space vector pulse width modulated inverter-based grid interfaced photovoltaic system","authors":"Naseem Jaidi, Gitanjali Mehta","doi":"10.11591/ijape.v12.i2.pp218-228","DOIUrl":"https://doi.org/10.11591/ijape.v12.i2.pp218-228","url":null,"abstract":"Artificial intelligence (AI) is being proposed for a range of subfields that deal with photovoltaic (PV) systems as a result of improvements in computer power, tool accessibility, and data generation. The methods employed at present in the PV industry for a variety of tasks, including the outcomes of design, forecasting, control, and maintenance, have been found to be relatively inaccurate. Additionally, the use of AI to carry out these tasks has improved in terms of accuracy and precision, which has made the topic itself highly interesting. In light of this, the goal of this article is to examine the effect AI approaches have on the solar value chain. The article involves creating a map of all currently accessible AI technologies, identifying potential future uses for AI, and weighing the advantages and disadvantages of these technologies’ relative to more conventional approaches. This article lays special emphasis on discussing AI techniques for improving the power quality in grid systems involving space vector pulse width modulated inverters interfacing the photovoltaic to the grid along with power converter defect monitoring, filter flaw detection, and battery monitoring.","PeriodicalId":340072,"journal":{"name":"International Journal of Applied Power Engineering (IJAPE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126673794","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 recent metaheuristic algorithms for maximum power point tracking of solar photovoltaic systems under partial shading conditions","authors":"Suraj Ravi, M. Premkumar, L. Abualigah","doi":"10.11591/ijape.v12.i2.pp196-217","DOIUrl":"https://doi.org/10.11591/ijape.v12.i2.pp196-217","url":null,"abstract":"The photovoltaic (PV) system comprises one or more solar panels, a converter/inverter, controllers, and other mechanical and electrical elements that utilize the generated electrical energy by the PV modules. The PV systems are ranged from small roofs or transportable units to massive electric utility plants. The maximum power point tracking (MPPT) controller has been used in PV systems to get the maximum power available. In addition, the MPPT controller is much essential for PV systems to protect the battery devices or direct loads from the power fluctuations received from solar PV panels. There are several MPPT control mechanisms available right now. The most common and commonly applied approaches under constant irradiance are perturb and observe (P&O) and incremental conductance (INC). But such methods show variations in the maximum power point. In this sense, this paper analyses and utilizes two recent metaheuristic algorithms called artificial rabbit optimization (ARO) and the most valuable player (MVP) algorithm for MPPT applications. The performance comparisons are made with the most preferred traditional algorithms, such as P&O and INC. Based on the result obtained, this study recommends that ARO perform better in standard testing conditions than all the other algorithms, but in partially shaded conditions, the MVP algorithm performs better in terms of efficiency and tracking speed.","PeriodicalId":340072,"journal":{"name":"International Journal of Applied Power Engineering (IJAPE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133234218","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":"Quality analysis of the defect location information in transmission line outages caused by fires","authors":"Tito Ricardo Vaz da Costa, A. T. D. Vale, Clarissa Melo Lima, J. Gonçalez","doi":"10.11591/ijape.v12.i2.pp136-143","DOIUrl":"https://doi.org/10.11591/ijape.v12.i2.pp136-143","url":null,"abstract":"This paper analyzed the quality of the information regarding power outages caused by fires in the Brazilian transmission system in the years 2018 and 2019. Six transmission line trunks with asymmetrical performance regarding fire-related outages in the period were selected. The selected trunks correspond to twelve 500 kV transmission lines with a total length of 3,998 km. Outage, geospatial transmission line data and fire outbreak information was compared for twelve transmission lines of interest, all located in regions with a high incidence of fires. The results suggest that the data provided by the transmission line fault locating equipment is not accurate when compared to the fire outbreak data provided by satellites.","PeriodicalId":340072,"journal":{"name":"International Journal of Applied Power Engineering (IJAPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114097302","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":"Design and development of dual mode on-board battery charger for electric vehicle","authors":"Hemalatha Jeekanahalli Nanjappa, Sunanda Channaiah","doi":"10.11591/ijape.v12.i2.pp153-161","DOIUrl":"https://doi.org/10.11591/ijape.v12.i2.pp153-161","url":null,"abstract":"In recent days there is growing interest in electric vehicle (EVs) technologies because of concern about global warming, energy crisis and security. Charging configurations of EVs play a vital role in the development of automobile transformation. Hence in an automobile industry increased demand of EVs require an efficient and reliable system for recharging the battery. This paper presents a topology that interface the two types of charging systems i.e. slow charging and fast charging as required by the user. TESLA S60 battery model is taken as an example for validation of the proposed topology in simulation. Cuk converter is designed and implemented for charging the battery in two modes. The MATLAB/Simulink software is used to simulate and analyze the performance of the system. The prototype hardware model of the charger is developed and results are validated with simulation. The results show that the slow charging 86% and fast charging efficiency is more than 82%.","PeriodicalId":340072,"journal":{"name":"International Journal of Applied Power Engineering (IJAPE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116746239","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}