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Electric Power Components and Systems最新文献

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Distributed Energy Resource Deployment to Mitigate Adverse Effects of High EV Penetration in Unbalanced Distribution System by Analytical Sensitivity-Based Optimization 通过基于灵敏度的分析优化来部署分布式能源资源，以减轻不平衡配电系统中电动汽车高渗透率的不利影响
IF 1.5 4区 工程技术
Electric Power Components and Systems Pub Date : 2024-03-08 DOI: 10.1080/15325008.2024.2322669
Sourav Mondal, Mala De
{"title":"Distributed Energy Resource Deployment to Mitigate Adverse Effects of High EV Penetration in Unbalanced Distribution System by Analytical Sensitivity-Based Optimization","authors":"Sourav Mondal, Mala De","doi":"10.1080/15325008.2024.2322669","DOIUrl":"https://doi.org/10.1080/15325008.2024.2322669","url":null,"abstract":"The rapid integration of electric vehicles (EVs) into distribution systems in response to environmental concerns poses challenges for power system operators. This article addresses the operational ...","PeriodicalId":50548,"journal":{"name":"Electric Power Components and Systems","volume":"21 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140072712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimum Power Forecasting Technique for Hybrid Renewable Energy Systems Using Deep Learning 使用深度学习的混合可再生能源系统最佳功率预测技术
IF 1.5 4区 工程技术
Electric Power Components and Systems Pub Date : 2024-03-07 DOI: 10.1080/15325008.2024.2316251
Shashank Singh, V. Subburaj, K. Sivakumar, R. Anil Kumar, M. S. Muthuramam, Ravi Rastogi, Vishal Ratansing Patil, A. Rajaram
{"title":"Optimum Power Forecasting Technique for Hybrid Renewable Energy Systems Using Deep Learning","authors":"Shashank Singh, V. Subburaj, K. Sivakumar, R. Anil Kumar, M. S. Muthuramam, Ravi Rastogi, Vishal Ratansing Patil, A. Rajaram","doi":"10.1080/15325008.2024.2316251","DOIUrl":"https://doi.org/10.1080/15325008.2024.2316251","url":null,"abstract":"Power forecasting in large-scale electrical systems, comprising photovoltaic (PV), solar, and wind power, faces challenges due to geographical diffusion and temporal variations. Despite numerous st...","PeriodicalId":50548,"journal":{"name":"Electric Power Components and Systems","volume":"164 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140054942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hybrid Forecasting Model Integrating RNN-LSTM for Renewable Energy Production 集成 RNN-LSTM 的可再生能源生产混合预测模型
IF 1.5 4区 工程技术
Electric Power Components and Systems Pub Date : 2024-03-07 DOI: 10.1080/15325008.2024.2316247
Sreekumar Narayanan, Rajiv Kumar, Sudhir Ramadass, Jayaraj Ramasamy
{"title":"Hybrid Forecasting Model Integrating RNN-LSTM for Renewable Energy Production","authors":"Sreekumar Narayanan, Rajiv Kumar, Sudhir Ramadass, Jayaraj Ramasamy","doi":"10.1080/15325008.2024.2316247","DOIUrl":"https://doi.org/10.1080/15325008.2024.2316247","url":null,"abstract":"Renewable energy production forecasting is vital for effective grid management and energy trading. Traditional forecasting methods often fall short in capturing the complex and dynamic nature of re...","PeriodicalId":50548,"journal":{"name":"Electric Power Components and Systems","volume":"8 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140072909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fuzzy Logic Control of Asynchronous Machine Drives With a Fractional Calculus Technique 利用分数微积分技术对异步机驱动器进行模糊逻辑控制
IF 1.5 4区 工程技术
Electric Power Components and Systems Pub Date : 2024-03-07 DOI: 10.1080/15325008.2024.2325537
Dalal Zellouma, Habib Benbouhenni, Youcef Bekakra, Nicu Bizon, Ilhami Colak
{"title":"Fuzzy Logic Control of Asynchronous Machine Drives With a Fractional Calculus Technique","authors":"Dalal Zellouma, Habib Benbouhenni, Youcef Bekakra, Nicu Bizon, Ilhami Colak","doi":"10.1080/15325008.2024.2325537","DOIUrl":"https://doi.org/10.1080/15325008.2024.2325537","url":null,"abstract":"Abstract—This paper proposes the use of fractional-order fuzzy logic (FOFL) to control the rotational speed of asynchronous machines (AMs) using the pulse width modulation and compares the results ...","PeriodicalId":50548,"journal":{"name":"Electric Power Components and Systems","volume":"13 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140072651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimizing Distributed Generation Placement and Profit Maximization in Active Distribution Networks with Harmonics: A GEPSO Approach 优化有源配电网中的分布式发电安置和谐波利润最大化：GEPSO 方法
IF 1.5 4区 工程技术
Electric Power Components and Systems Pub Date : 2024-03-06 DOI: 10.1080/15325008.2024.2313587
Sapna Ladwal, Anil Kumar
{"title":"Optimizing Distributed Generation Placement and Profit Maximization in Active Distribution Networks with Harmonics: A GEPSO Approach","authors":"Sapna Ladwal, Anil Kumar","doi":"10.1080/15325008.2024.2313587","DOIUrl":"https://doi.org/10.1080/15325008.2024.2313587","url":null,"abstract":"Distribution networks (DN) have become active due to distributed generation (DG) at the distribution level. In addition, locational marginal pricing techniques are commonly employed in electricity ...","PeriodicalId":50548,"journal":{"name":"Electric Power Components and Systems","volume":"17 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140046463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cuckoo Optimization Algorithm Based Fuzzy Logic Speed Controller for BLDC Motor 基于布谷鸟优化算法的无刷直流电机模糊逻辑速度控制器
IF 1.5 4区 工程技术
Electric Power Components and Systems Pub Date : 2024-03-04 DOI: 10.1080/15325008.2024.2322679
Naci Genc, Zhansaya Seidakhanovna Kalimbetova
{"title":"Cuckoo Optimization Algorithm Based Fuzzy Logic Speed Controller for BLDC Motor","authors":"Naci Genc, Zhansaya Seidakhanovna Kalimbetova","doi":"10.1080/15325008.2024.2322679","DOIUrl":"https://doi.org/10.1080/15325008.2024.2322679","url":null,"abstract":"Brushless direct current (BLDC) motors are widely used in dynamic applications because of advantages such as high efficiency, wide speed range and low maintenance requirements. The classical Propor...","PeriodicalId":50548,"journal":{"name":"Electric Power Components and Systems","volume":"25 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140035257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing Energy Efficiency and Classification Modeling Through a Combined Approach of LightGBM and Stratified KFold Cross-Validation 通过 LightGBM 和分层 KFold 交叉验证的组合方法提高能效和分类建模能力
IF 1.5 4区 工程技术
Electric Power Components and Systems Pub Date : 2024-03-04 DOI: 10.1080/15325008.2024.2315213
Sushma Kakkar, A. Jaya Lakshmi, Anand Deva Durai C, Wakeel Ahmad, Mohamed Uvaze Ahamed Ayoobkhan, P. Veeramanikandan, P. Nagasekhar Reddy, Vijay Kumar Dwivedi, A. Rajaram
{"title":"Enhancing Energy Efficiency and Classification Modeling Through a Combined Approach of LightGBM and Stratified KFold Cross-Validation","authors":"Sushma Kakkar, A. Jaya Lakshmi, Anand Deva Durai C, Wakeel Ahmad, Mohamed Uvaze Ahamed Ayoobkhan, P. Veeramanikandan, P. Nagasekhar Reddy, Vijay Kumar Dwivedi, A. Rajaram","doi":"10.1080/15325008.2024.2315213","DOIUrl":"https://doi.org/10.1080/15325008.2024.2315213","url":null,"abstract":"This research article aims to develop a robust and interpretable model for energy efficiency and classification that overcomes the limitations of existing techniques. The study’s objectives are to ...","PeriodicalId":50548,"journal":{"name":"Electric Power Components and Systems","volume":"43 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140035547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhanced PV Power Prediction Considering PM10 Parameter by Hybrid JAYA-ANN Model 考虑 PM10 参数的混合 JAYA-ANN 模型增强了光伏发电预测能力
IF 1.5 4区 工程技术
Electric Power Components and Systems Pub Date : 2024-03-04 DOI: 10.1080/15325008.2024.2322668
Erdal Irmak, Mehmet Yeşilbudak, Oğuz Taşdemir
{"title":"Enhanced PV Power Prediction Considering PM10 Parameter by Hybrid JAYA-ANN Model","authors":"Erdal Irmak, Mehmet Yeşilbudak, Oğuz Taşdemir","doi":"10.1080/15325008.2024.2322668","DOIUrl":"https://doi.org/10.1080/15325008.2024.2322668","url":null,"abstract":"The demand for electrical energy is continuously increasing in these days, particularly due to advancements in the industrial sector. This surge in demand has underscored the importance of seeking ...","PeriodicalId":50548,"journal":{"name":"Electric Power Components and Systems","volume":"38 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140035266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Micro-Grid Renewable Energy Integration and Operational Optimization for Smart Grid Applications Using a Deep Learning 利用深度学习实现智能电网应用中的微电网可再生能源集成和运行优化
IF 1.5 4区 工程技术
Electric Power Components and Systems Pub Date : 2024-03-04 DOI: 10.1080/15325008.2023.2296960
Hemlata Gangwar, Syam Machinathu Parambil Gangadharan, Leena Daniel, B. Srinivasa Kumar, P. Hariramakrishnan, G. Ramkumar, M. Arunkumar, P. Ganeshan, Ahmad A. Ifseisi
{"title":"Micro-Grid Renewable Energy Integration and Operational Optimization for Smart Grid Applications Using a Deep Learning","authors":"Hemlata Gangwar, Syam Machinathu Parambil Gangadharan, Leena Daniel, B. Srinivasa Kumar, P. Hariramakrishnan, G. Ramkumar, M. Arunkumar, P. Ganeshan, Ahmad A. Ifseisi","doi":"10.1080/15325008.2023.2296960","DOIUrl":"https://doi.org/10.1080/15325008.2023.2296960","url":null,"abstract":"The conceptual prediction approaches for solar energy and Photovoltaic energy are thoroughly reviewed in this work. Employing enhanced gated recurrent units (GRUs) and recurrent neural networks (RN...","PeriodicalId":50548,"journal":{"name":"Electric Power Components and Systems","volume":"33 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140035298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Developing a Deep Learning and Reliable Optimization Techniques for Solar Photovoltaic Power Prediction 开发用于太阳能光伏发电功率预测的深度学习和可靠优化技术
IF 1.5 4区 工程技术
Electric Power Components and Systems Pub Date : 2024-02-29 DOI: 10.1080/15325008.2024.2317369
Kumaraswamy Shivashankaraiah, Gadigi Shashibhushan, Arumugam Prema Kirubakaran, Chowdappa Anjanappa, Pradosh Kumar Sharma, Ishwarya Mayiladuthurai Vaidyanathan, Syed Noeman Taqui, Sami Al Obaid, Saleh Alfarraj
{"title":"Developing a Deep Learning and Reliable Optimization Techniques for Solar Photovoltaic Power Prediction","authors":"Kumaraswamy Shivashankaraiah, Gadigi Shashibhushan, Arumugam Prema Kirubakaran, Chowdappa Anjanappa, Pradosh Kumar Sharma, Ishwarya Mayiladuthurai Vaidyanathan, Syed Noeman Taqui, Sami Al Obaid, Saleh Alfarraj","doi":"10.1080/15325008.2024.2317369","DOIUrl":"https://doi.org/10.1080/15325008.2024.2317369","url":null,"abstract":"Due to its significant solar energy generation, solar PV power facilities have recently been utilized. Although PV power stations are highly preferable, the state’s fundamental drawback is that its...","PeriodicalId":50548,"journal":{"name":"Electric Power Components and Systems","volume":"28 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140017967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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