Pub Date : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383355
A. Siswoyo, Guanjun Zhang, Suwarno
The problem that often occurs in the field is the occurrence of soft defects that occur when installing cables due to various factors such as being pinched, punctured, or peeled. Over last year, many methods are based on non-destructive tests such as Line Resonance Analysis (LIRA), Broadband Impedance Spectroscopy (BIS). Time Domain Reflectometry, Joint Time-Frequency Domain Reflectometry is carried out. Although some of these test methods have been able to detect local degradation but to interpret the type of defect is still infancy. This work uses the BIS method with RG 58 CU cable of 33.5 meters total length. The degraded portion is done by using several types, the first is to use mechanical damage by bending beyond the cable’s tolerance limit damage, and the second is by connecting the resistance (100 Ohm) or capacitance (10nF) value using the T joint connector. The results are comparing by simulation with ANSYS Electronics Desktop. The results are the type of defect caused by the mechanical press, and the peeled parts have different characteristics. Besides, the IT transform method and IFFT method both of them can detect precisely the degraded portion at 18.5 meters long of 33.5 meters total length of the cable under test.
{"title":"Broadband Impedance Spectroscopy For Locating and Detecting Various Type Of Degraded Portion Along with Polymeric Cable","authors":"A. Siswoyo, Guanjun Zhang, Suwarno","doi":"10.1109/CPEEE51686.2021.9383355","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383355","url":null,"abstract":"The problem that often occurs in the field is the occurrence of soft defects that occur when installing cables due to various factors such as being pinched, punctured, or peeled. Over last year, many methods are based on non-destructive tests such as Line Resonance Analysis (LIRA), Broadband Impedance Spectroscopy (BIS). Time Domain Reflectometry, Joint Time-Frequency Domain Reflectometry is carried out. Although some of these test methods have been able to detect local degradation but to interpret the type of defect is still infancy. This work uses the BIS method with RG 58 CU cable of 33.5 meters total length. The degraded portion is done by using several types, the first is to use mechanical damage by bending beyond the cable’s tolerance limit damage, and the second is by connecting the resistance (100 Ohm) or capacitance (10nF) value using the T joint connector. The results are comparing by simulation with ANSYS Electronics Desktop. The results are the type of defect caused by the mechanical press, and the peeled parts have different characteristics. Besides, the IT transform method and IFFT method both of them can detect precisely the degraded portion at 18.5 meters long of 33.5 meters total length of the cable under test.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131378555","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 : 2021-02-26DOI: 10.1109/cpeee51686.2021.9383347
{"title":"CPEEE 2021 Copyright Page","authors":"","doi":"10.1109/cpeee51686.2021.9383347","DOIUrl":"https://doi.org/10.1109/cpeee51686.2021.9383347","url":null,"abstract":"","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131571670","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383333
D. N. Huu, V. N. Ngoc
Currently, electrification of mobility could be considered as a sustainable solution for reducing oil dependency and encouraging environmental protection. In Vietnam, socioeconomic condition, current traffic infrastructure and users’ habit are main causes of the prevalence of motorcycles, especially in large urbans. A huge number and high density of personal gasoline-powered vehicles has pressured traffic infrastructure and this is claimed to be the major contributor to air pollution. With reasonable purchase price and low operation cost, electric two-wheelers (e-bikes, electric mopeds, electric motorcycles) could be seen as a promising solution for replacing gasoline-powered motorcycles. In order to promote this transition, supporting infrastructure such as charging facilities should be studied, investigated and deployed. Nevertheless, electrification of mobility is only beneficial to environment if the electricity used to charge EVs comes from renewable sources and not from fossil fuel generation. With high potential of solar energy, local consumption of PV generation for charging stations in Vietnam may provides a promising solution. This paper aims to research the trend of transport electrification and the feasibility of PV-integrated charging stations for electric two-wheelers in Vietnam as well as propose PV-based charging station solution at Electric Power University.
{"title":"A Research on the Trend of Transport Electrification in Vietnam and the Feasibility of PV-Integrated Charging Station for Electric Two-wheelers at Electric Power University","authors":"D. N. Huu, V. N. Ngoc","doi":"10.1109/CPEEE51686.2021.9383333","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383333","url":null,"abstract":"Currently, electrification of mobility could be considered as a sustainable solution for reducing oil dependency and encouraging environmental protection. In Vietnam, socioeconomic condition, current traffic infrastructure and users’ habit are main causes of the prevalence of motorcycles, especially in large urbans. A huge number and high density of personal gasoline-powered vehicles has pressured traffic infrastructure and this is claimed to be the major contributor to air pollution. With reasonable purchase price and low operation cost, electric two-wheelers (e-bikes, electric mopeds, electric motorcycles) could be seen as a promising solution for replacing gasoline-powered motorcycles. In order to promote this transition, supporting infrastructure such as charging facilities should be studied, investigated and deployed. Nevertheless, electrification of mobility is only beneficial to environment if the electricity used to charge EVs comes from renewable sources and not from fossil fuel generation. With high potential of solar energy, local consumption of PV generation for charging stations in Vietnam may provides a promising solution. This paper aims to research the trend of transport electrification and the feasibility of PV-integrated charging stations for electric two-wheelers in Vietnam as well as propose PV-based charging station solution at Electric Power University.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116201280","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 : 2021-02-26DOI: 10.1109/cpeee51686.2021.9383379
{"title":"CPEEE 2021 Conference Committees","authors":"","doi":"10.1109/cpeee51686.2021.9383379","DOIUrl":"https://doi.org/10.1109/cpeee51686.2021.9383379","url":null,"abstract":"","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126913712","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383350
Hongpeng Zhang, Dan Li, Zengyao Tian, Liang Guo
In order to formulate a reasonable scheduling plan of virtual power plant (VPP), a prediction method of photovoltaic (PV) output based on K-means and improved BP neural network is proposed. Firstly, the structure of virtual plant for peak regulation is introduced. Then, the historical data of PV is clustered by K-means to distinguish different weather conditions. To improve the prediction accuracy, genetic algorithm (GA) is used to improve the BP neural network. Finally, a short-term prediction model based on improved BP neural network is established in Matlab. The simulation results show that using clustered photovoltaic data and improved BP neural network to predict the output of PV on similar days has a higher prediction accuracy.
{"title":"A Short-Term Photovoltaic Power Output Prediction for Virtual Plant Peak Regulation Based on K-means Clustering and Improved BP Neural Network","authors":"Hongpeng Zhang, Dan Li, Zengyao Tian, Liang Guo","doi":"10.1109/CPEEE51686.2021.9383350","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383350","url":null,"abstract":"In order to formulate a reasonable scheduling plan of virtual power plant (VPP), a prediction method of photovoltaic (PV) output based on K-means and improved BP neural network is proposed. Firstly, the structure of virtual plant for peak regulation is introduced. Then, the historical data of PV is clustered by K-means to distinguish different weather conditions. To improve the prediction accuracy, genetic algorithm (GA) is used to improve the BP neural network. Finally, a short-term prediction model based on improved BP neural network is established in Matlab. The simulation results show that using clustered photovoltaic data and improved BP neural network to predict the output of PV on similar days has a higher prediction accuracy.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"45 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114099927","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383358
Rathana Lorm, V. Vai, Sievlong Suk, Chhith Chhlonh, Samphors Eng, L. Bun
This paper addresses with a modified sequential opening of branches (MSOB) method to service restoration under different load levels as self-healing distribution systems. This MSOB reduces the search space of the optimization to search for executed tie-switches and sectionalizing switches based on defined loop configuration in systems. To observe the effectiveness of the proposed method, the standard IEEE 33-bus and 69-bus distribution systems are selected to be tested. The optimal solutions with computation time are provided in this paper.
{"title":"Service Restoration in Distribution Systems under Different Load Levels","authors":"Rathana Lorm, V. Vai, Sievlong Suk, Chhith Chhlonh, Samphors Eng, L. Bun","doi":"10.1109/CPEEE51686.2021.9383358","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383358","url":null,"abstract":"This paper addresses with a modified sequential opening of branches (MSOB) method to service restoration under different load levels as self-healing distribution systems. This MSOB reduces the search space of the optimization to search for executed tie-switches and sectionalizing switches based on defined loop configuration in systems. To observe the effectiveness of the proposed method, the standard IEEE 33-bus and 69-bus distribution systems are selected to be tested. The optimal solutions with computation time are provided in this paper.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134111562","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383387
Takuji Matsumoto, Misao Endo
This study constructs multiple models for forecasting weekly average electricity prices using weekly weather forecasts, and applies it to arbitrage trading in the forward market. In particular, we compare models that used different approaches for forecasting weekly average price and price density, and clarify the following empirical results using the data from Japan Electric Power Exchange (JEPX): 1) Instead of using forecasted temperature directly as an explanatory variable, the two-step forecast method with measured temperature is more likely to reduce the forecast error; 2) Quantile regression has better density forecast accuracy than a GARCH based model; 3) The multiplicative model using the logarithmic price series tends to have higher forecast accuracy than the additive model without logarithmic conversion; 4) Weather forecasts contribute to improving the forecast accuracy of weekly electricity prices and also play an important role in earning profits in forward market trading. The proposed arbitrage trading method can be utilized by many participants in that the strategy can be flexibly changed according to the level of risk tolerance. The existence of considerable arbitrage opportunities in the JEPX forward market, revealed by the empirical results, may have practical implications on attracting traders and stimulating the market.
{"title":"Electricity price forecast based on weekly weather forecast and its application to arbitrage in the forward market","authors":"Takuji Matsumoto, Misao Endo","doi":"10.1109/CPEEE51686.2021.9383387","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383387","url":null,"abstract":"This study constructs multiple models for forecasting weekly average electricity prices using weekly weather forecasts, and applies it to arbitrage trading in the forward market. In particular, we compare models that used different approaches for forecasting weekly average price and price density, and clarify the following empirical results using the data from Japan Electric Power Exchange (JEPX): 1) Instead of using forecasted temperature directly as an explanatory variable, the two-step forecast method with measured temperature is more likely to reduce the forecast error; 2) Quantile regression has better density forecast accuracy than a GARCH based model; 3) The multiplicative model using the logarithmic price series tends to have higher forecast accuracy than the additive model without logarithmic conversion; 4) Weather forecasts contribute to improving the forecast accuracy of weekly electricity prices and also play an important role in earning profits in forward market trading. The proposed arbitrage trading method can be utilized by many participants in that the strategy can be flexibly changed according to the level of risk tolerance. The existence of considerable arbitrage opportunities in the JEPX forward market, revealed by the empirical results, may have practical implications on attracting traders and stimulating the market.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114148080","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383386
Binqi Wang
With the rapid growth of Internet traffic, user demand being gradually expanding rapidly, which makes people put forward higher requirements on the capacity of optical communication and the function of the optical layer. In this way, researchers are seeking for higher speed, higher quality and larger capacity optical communication networks. All optical wavelength conversion (AOWC) is the key technology to achieve high level all-optical networks. In addition, to further increase the network efficiency and decrease the blocking probabilities, the all optical wavelength conversion (AOWC) is needed to avoid wavelength contention for dynamic optical path switching at the nodes. In this paper, AOWC technology based on semiconductor optical amplifier (SOA) is investigated. including cross-gain modulation (XGM), cross-phase modulation (XPM) and four-wave mixing (FWM). The implementation, advantages and disadvantages of these schemes are compared and discussed. What is more, the prospects and future development of AOWC is also discussed.
{"title":"A Research on All-optical Wavelength Conversion Technology based on SOA","authors":"Binqi Wang","doi":"10.1109/CPEEE51686.2021.9383386","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383386","url":null,"abstract":"With the rapid growth of Internet traffic, user demand being gradually expanding rapidly, which makes people put forward higher requirements on the capacity of optical communication and the function of the optical layer. In this way, researchers are seeking for higher speed, higher quality and larger capacity optical communication networks. All optical wavelength conversion (AOWC) is the key technology to achieve high level all-optical networks. In addition, to further increase the network efficiency and decrease the blocking probabilities, the all optical wavelength conversion (AOWC) is needed to avoid wavelength contention for dynamic optical path switching at the nodes. In this paper, AOWC technology based on semiconductor optical amplifier (SOA) is investigated. including cross-gain modulation (XGM), cross-phase modulation (XPM) and four-wave mixing (FWM). The implementation, advantages and disadvantages of these schemes are compared and discussed. What is more, the prospects and future development of AOWC is also discussed.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114691352","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383335
Jianfei Li, Xiaojie Wang, Y. Ji
The energy consumption of air conditioning and refrigeration system in public buildings accounts for a large proportion, mainly due to the problem of excessive energy consumption in the operation of chillers in the system. Based on the performance parameters provided by the manufacturer, this paper evaluates the energy consumption of the water-cooled chiller under different load rates in typical days of cooling season, analyzes the coefficient of performance (cop) of the chiller under different load conditions, and discusses several ways to improve the efficiency of the chiller.
{"title":"Energy Consumption Evaluation of Water Chiller in Cooling Station","authors":"Jianfei Li, Xiaojie Wang, Y. Ji","doi":"10.1109/CPEEE51686.2021.9383335","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383335","url":null,"abstract":"The energy consumption of air conditioning and refrigeration system in public buildings accounts for a large proportion, mainly due to the problem of excessive energy consumption in the operation of chillers in the system. Based on the performance parameters provided by the manufacturer, this paper evaluates the energy consumption of the water-cooled chiller under different load rates in typical days of cooling season, analyzes the coefficient of performance (cop) of the chiller under different load conditions, and discusses several ways to improve the efficiency of the chiller.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114712490","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383371
Firza Zulmi Rhamadhan, T. Kinkeldey, P. Werle, S. Suwarno
The condition of the transformer insulation has an impact on the transformer’s performance during the operation. The aging of the oil-impregnated cellulose insulation and the associated loss of mechanical strength are the important factors that limit the life of expectancy of a transformer. To determine the condition of the oil-impregnated cellulose insulation, the Degree of Polymerization (DP) parameter is commonly used. An Adaptive Neuro-Fuzzy Inference System (ANFIS) has been developed to predict the DP Value by the chemical characteristics and dissolved gas parameters (acidity, interfacial tension, CO, CO2, breakdown voltage, and water content of the oil). This paper generates some algorithms which are based on the input space partitioning method to generate rules (grid partition or subtractive clustering) and data is normalized or not. The estimation result has been observed and evaluated to provide that the ANFIS algorithm is suitable to estimate insulation condition on field operating transformers.
{"title":"Estimating the DP Value of the Paper Insulation of Oil-Filled Power Transformers Using an ANFIS Algorithm","authors":"Firza Zulmi Rhamadhan, T. Kinkeldey, P. Werle, S. Suwarno","doi":"10.1109/CPEEE51686.2021.9383371","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383371","url":null,"abstract":"The condition of the transformer insulation has an impact on the transformer’s performance during the operation. The aging of the oil-impregnated cellulose insulation and the associated loss of mechanical strength are the important factors that limit the life of expectancy of a transformer. To determine the condition of the oil-impregnated cellulose insulation, the Degree of Polymerization (DP) parameter is commonly used. An Adaptive Neuro-Fuzzy Inference System (ANFIS) has been developed to predict the DP Value by the chemical characteristics and dissolved gas parameters (acidity, interfacial tension, CO, CO2, breakdown voltage, and water content of the oil). This paper generates some algorithms which are based on the input space partitioning method to generate rules (grid partition or subtractive clustering) and data is normalized or not. The estimation result has been observed and evaluated to provide that the ANFIS algorithm is suitable to estimate insulation condition on field operating transformers.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116553808","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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