Pub Date : 2021-01-27DOI: 10.1504/IJPEC.2021.10035217
D. Samal, R. Bisoi, B. Sahu
Identification of nonlinear systems finds extensive applications in control design and stability analysis. To identify complex nonlinear systems, the neural network has drawn the attention of many researchers due to its broad application area. In this paper, an improved identification method based on robust regularised exponentially extended random vector functional link network (RERVFLN) has been proposed for nonlinear system identification. The input is extended using trigonometric expansion which increases the accuracy of the algorithm. To verify the accuracy of the proposed model, some benchmark Monte Carlo simulations are carried out through simulation study and the obtained results are compared with some established techniques such as original RVFLN, ELM, and LMS. Prediction accuracy of the proposed method RERVFLN is higher than the normal RVFLN for different nonlinear systems which is clear from the performance evaluation section.
{"title":"Identification of nonlinear dynamic system using machine learning techniques","authors":"D. Samal, R. Bisoi, B. Sahu","doi":"10.1504/IJPEC.2021.10035217","DOIUrl":"https://doi.org/10.1504/IJPEC.2021.10035217","url":null,"abstract":"Identification of nonlinear systems finds extensive applications in control design and stability analysis. To identify complex nonlinear systems, the neural network has drawn the attention of many researchers due to its broad application area. In this paper, an improved identification method based on robust regularised exponentially extended random vector functional link network (RERVFLN) has been proposed for nonlinear system identification. The input is extended using trigonometric expansion which increases the accuracy of the algorithm. To verify the accuracy of the proposed model, some benchmark Monte Carlo simulations are carried out through simulation study and the obtained results are compared with some established techniques such as original RVFLN, ELM, and LMS. Prediction accuracy of the proposed method RERVFLN is higher than the normal RVFLN for different nonlinear systems which is clear from the performance evaluation section.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48202866","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}
Pub Date : 2021-01-01DOI: 10.1504/IJPEC.2021.10038610
Ch. Rami Reddy, B. S. Goud
{"title":"A new passive islanding detection method for hybrid distributed generation under zero power imbalance","authors":"Ch. Rami Reddy, B. S. Goud","doi":"10.1504/IJPEC.2021.10038610","DOIUrl":"https://doi.org/10.1504/IJPEC.2021.10038610","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809302","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}
Pub Date : 2021-01-01DOI: 10.1504/ijpec.2020.10030092
O. Arafa, Yousry Atia, M. Salem
{"title":"Improved MPPT control for single-phase grid-connected PV system","authors":"O. Arafa, Yousry Atia, M. Salem","doi":"10.1504/ijpec.2020.10030092","DOIUrl":"https://doi.org/10.1504/ijpec.2020.10030092","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809527","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}
Pub Date : 2021-01-01DOI: 10.1504/IJPEC.2021.10035565
C. Suresh, Venkatachalam Ganesh, B. Prasanth, Luke John Baktha Singh Immaraju
{"title":"A realistic cost allocation methodology based on power flow tracing in deregulated power systems","authors":"C. Suresh, Venkatachalam Ganesh, B. Prasanth, Luke John Baktha Singh Immaraju","doi":"10.1504/IJPEC.2021.10035565","DOIUrl":"https://doi.org/10.1504/IJPEC.2021.10035565","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809626","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}
Pub Date : 2021-01-01DOI: 10.1504/IJPEC.2021.10038609
Sanjay Agrawal, Arvind Yadav, V. Deolia
{"title":"Indirect closed loop control of quasi-Z-source inverter for standalone solar PV-based energy conversion system","authors":"Sanjay Agrawal, Arvind Yadav, V. Deolia","doi":"10.1504/IJPEC.2021.10038609","DOIUrl":"https://doi.org/10.1504/IJPEC.2021.10038609","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809285","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}
Pub Date : 2021-01-01DOI: 10.1504/ijpec.2021.10040142
Sarsing Gao, Rinchin W. Mosobi
{"title":"Power quality analysis of low voltage distributed generators in standalone and grid connected modes","authors":"Sarsing Gao, Rinchin W. Mosobi","doi":"10.1504/ijpec.2021.10040142","DOIUrl":"https://doi.org/10.1504/ijpec.2021.10040142","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809348","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}
Pub Date : 2021-01-01DOI: 10.1504/ijpec.2020.10033659
N. Gupta, P. Paliwal
{"title":"Novel droop integrated technique for regulation of islanded and grid connected hybrid microgrid","authors":"N. Gupta, P. Paliwal","doi":"10.1504/ijpec.2020.10033659","DOIUrl":"https://doi.org/10.1504/ijpec.2020.10033659","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809558","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}
Pub Date : 2021-01-01DOI: 10.1504/IJPEC.2021.10035219
Davood Beyralvand, M. Yaghoubi
: The objectives of this study are 4E analysis and multi-objective optimisation for solar hybrid fossil fuel power generation system and steam power plant without solar field (WSF) of Karaj during a year. The analysis is performed using MATLAB programing, and validated with a power plant unit data. The results show that system with oil-water heat exchanger (solar hybrid system), has less CO 2 emission and fuel consumption than WSF power plant but 2.8% more exergy efficiency. The annual average contribution of steam on the production of electricity during sunny hours and during the day, are 15% and 7.3%, respectively. By using artificial bee colony (ABC) algorithm, system is optimised for maximum exergy efficiency and minimum cost of produced electricity. Furthermore, sensitivity analysis is performed to study the solar tracking modes, changing the number of collector loops, capacity of the power plant, interest rate and plant economic life on unit cost. the solar-to-electricity efficiency under different turbine load for different seasons of the year. As their result, the solar-to-electricity efficiency in summer can reach up to 26.3% but, in winter, the solar-to-electricity efficiency is only 11.5% due to the increase of solar incident angle and decrease of solar irradiance. Annual thermodynamic analysis of solar hybrid fossil fuel power plant was investigated by Zhu et al. (2017). They compared performances of a solar hybrid steam power plant, a steam power plant and a solar tower power plant under different operative conditions. Parametric results showed that solar tower hybrid steam power plant has higher solar operation efficiency than solar tower power plant using natural gas back-up and lower fuel consumption flow rate and CO 2 emission flow rate than fossil fuel power plant. Thermodynamic performance and economical optimisation for a solar aided fossil fuel power generation system were performed by Wang et al. (2017). They used a solar feed water heater at < 300°C to replace the extracted steam to heat the feed water. They investigated the effects of the important operating parameters such a heat transfer fl uid (HTF) flow rate, concentration ratio and solar incident angle on the performances of the solar hybrid coal fired power generation system under different operative conditions. Results showed that levellised cost of power production of the solar hybrid power generation system 0.7–1 ¥/kwh (0.1045–0.145 $/kwh) and annual solar-to-electric efficiency 13%–20% can be achieved. Thermodynamic analysis from flue gas waste heat in a 500 MW fossil fuel power generation system using solar hybrid Kalina cycle in MS-Excel software, was modelled by Khankari and Karmakar (2018). They presented optimise power plant performance at different conditions. Their results show that net power generation 516.52 kWh can be
本研究的目的是对Karaj的太阳能混合化石燃料发电系统和无太阳能场蒸汽发电厂(WSF)进行为期一年的4E分析和多目标优化。利用MATLAB编程进行分析，并用某电厂机组数据进行验证。结果表明，采用油水热交换器的系统(太阳能混合系统)与WSF电厂相比，co2排放和燃油消耗更少，但能效提高2.8%。在日照时间和白天，蒸汽对发电量的年平均贡献分别为15%和7.3%。采用人工蜂群(ABC)算法对系统进行优化，使其达到最大的能源效率和最小的发电成本。在此基础上，通过灵敏度分析研究了太阳能跟踪模式对集热器环数、电厂容量、利率和电厂经济寿命对单位成本的影响。一年中不同季节不同涡轮负荷下的太阳能发电效率。因此，夏季太阳能发电效率可达26.3%，而冬季由于太阳入射角增大和太阳辐照度减小，太阳能发电效率仅为11.5%。Zhu et al.(2017)对太阳能混合化石燃料发电厂年度热力学分析进行了研究。他们比较了太阳能混合蒸汽发电厂、蒸汽发电厂和太阳能塔式发电厂在不同运行条件下的性能。参数化结果表明，太阳能塔式混合蒸汽发电厂的太阳能运行效率高于采用天然气备用的太阳能塔式发电厂，燃料消耗流量和二氧化碳排放流量低于化石燃料发电厂。Wang等人(2017)对太阳能辅助化石燃料发电系统进行了热力学性能和经济优化。他们使用了一个< 300°C的太阳能给水加热器来代替提取的蒸汽来加热给水。研究了不同工况下换热液流量、浓度比、太阳能入射角等重要运行参数对太阳能混合燃煤发电系统性能的影响。结果表明，该太阳能混合发电系统的平准化发电成本为0.7 ~ 1元/千瓦时(0.1045 ~ 0.145美元/千瓦时)，年光电效率为13% ~ 20%。Khankari和Karmakar(2018)在MS-Excel软件中使用太阳能混合Kalina循环对500兆瓦化石燃料发电系统的烟气废热进行了热力学分析。他们展示了在不同条件下电厂的最佳性能。他们的研究结果表明，净发电量516.52千瓦时即可
{"title":"4E analysis and multi-objective optimisation for a solar hybrid steam power plant using ABC algorithm: a case study in Iran","authors":"Davood Beyralvand, M. Yaghoubi","doi":"10.1504/IJPEC.2021.10035219","DOIUrl":"https://doi.org/10.1504/IJPEC.2021.10035219","url":null,"abstract":": The objectives of this study are 4E analysis and multi-objective optimisation for solar hybrid fossil fuel power generation system and steam power plant without solar field (WSF) of Karaj during a year. The analysis is performed using MATLAB programing, and validated with a power plant unit data. The results show that system with oil-water heat exchanger (solar hybrid system), has less CO 2 emission and fuel consumption than WSF power plant but 2.8% more exergy efficiency. The annual average contribution of steam on the production of electricity during sunny hours and during the day, are 15% and 7.3%, respectively. By using artificial bee colony (ABC) algorithm, system is optimised for maximum exergy efficiency and minimum cost of produced electricity. Furthermore, sensitivity analysis is performed to study the solar tracking modes, changing the number of collector loops, capacity of the power plant, interest rate and plant economic life on unit cost. the solar-to-electricity efficiency under different turbine load for different seasons of the year. As their result, the solar-to-electricity efficiency in summer can reach up to 26.3% but, in winter, the solar-to-electricity efficiency is only 11.5% due to the increase of solar incident angle and decrease of solar irradiance. Annual thermodynamic analysis of solar hybrid fossil fuel power plant was investigated by Zhu et al. (2017). They compared performances of a solar hybrid steam power plant, a steam power plant and a solar tower power plant under different operative conditions. Parametric results showed that solar tower hybrid steam power plant has higher solar operation efficiency than solar tower power plant using natural gas back-up and lower fuel consumption flow rate and CO 2 emission flow rate than fossil fuel power plant. Thermodynamic performance and economical optimisation for a solar aided fossil fuel power generation system were performed by Wang et al. (2017). They used a solar feed water heater at < 300°C to replace the extracted steam to heat the feed water. They investigated the effects of the important operating parameters such a heat transfer fl uid (HTF) flow rate, concentration ratio and solar incident angle on the performances of the solar hybrid coal fired power generation system under different operative conditions. Results showed that levellised cost of power production of the solar hybrid power generation system 0.7–1 ¥/kwh (0.1045–0.145 $/kwh) and annual solar-to-electric efficiency 13%–20% can be achieved. Thermodynamic analysis from flue gas waste heat in a 500 MW fossil fuel power generation system using solar hybrid Kalina cycle in MS-Excel software, was modelled by Khankari and Karmakar (2018). They presented optimise power plant performance at different conditions. Their results show that net power generation 516.52 kWh can be","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809580","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}
Pub Date : 2021-01-01DOI: 10.1504/ijpec.2021.10040144
A. Diab, Terad Ebraheem, A. Abdelaziz, R. Aljendy, R. Nasyrov
{"title":"A novel optimisation method for optimal integration of the hybrid distributed generation with FACTS device: a practical case study","authors":"A. Diab, Terad Ebraheem, A. Abdelaziz, R. Aljendy, R. Nasyrov","doi":"10.1504/ijpec.2021.10040144","DOIUrl":"https://doi.org/10.1504/ijpec.2021.10040144","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809416","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}
Pub Date : 2021-01-01DOI: 10.1504/ijpec.2021.118050
Sambit Dash, Umamani Subudhi
{"title":"Multiple power quality event detection and classification using a modified S-transform and WOA tuned SVM classifier","authors":"Sambit Dash, Umamani Subudhi","doi":"10.1504/ijpec.2021.118050","DOIUrl":"https://doi.org/10.1504/ijpec.2021.118050","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809427","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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