Large-scale permanent magnet direct-drive wind farms frequently experience sub-/super-synchronous oscillations in the case of weak power grids. However, most of the improved control strategies are based on grid-side converters (GSCs). Machine-side systems including machine-side converters (MSCs) and permanent magnet synchronous generators (PMSGs) are often simplified to current sources when analyzing control systems. In this paper, the small-signal model of the aircraft-side system under dq coordinates is analyzed. The disturbance path of the DC bus voltage to the machine-side system is found, and the corresponding compensation method is proposed to suppress the subsynchronous oscillation and improve the system stability. The simulation results verify the effectiveness of the proposed method.
{"title":"Suppression of Sub-synchronous Oscillation in Direct-drive Permanent Magnet Wind Turbine Based on Generator-side Converter Compensation Control","authors":"Hui Jiang, Chuanzhu Yi, C. Shi, Hua Yang, Meng Li, Xueguang Zhang","doi":"10.1109/ACEEE56193.2022.9851874","DOIUrl":"https://doi.org/10.1109/ACEEE56193.2022.9851874","url":null,"abstract":"Large-scale permanent magnet direct-drive wind farms frequently experience sub-/super-synchronous oscillations in the case of weak power grids. However, most of the improved control strategies are based on grid-side converters (GSCs). Machine-side systems including machine-side converters (MSCs) and permanent magnet synchronous generators (PMSGs) are often simplified to current sources when analyzing control systems. In this paper, the small-signal model of the aircraft-side system under dq coordinates is analyzed. The disturbance path of the DC bus voltage to the machine-side system is found, and the corresponding compensation method is proposed to suppress the subsynchronous oscillation and improve the system stability. The simulation results verify the effectiveness of the proposed method.","PeriodicalId":142893,"journal":{"name":"2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127135126","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 : 2022-07-08DOI: 10.1109/ACEEE56193.2022.9851834
M. Alam, M. Sulaiman, Asma Ferdowsi, M. Sayem, Nazmus Sakib Bin Khair
Optimal power flow is an approach for enhancing power system performance, scheduling, and energy management. Because of its adaptability in a variety of settings, optimum power flow is becoming increasingly vital. The demand for optimization is driven by the need for cost-effective, efficient, and optimum solutions. Optimization is useful in a variety of fields, including science, economics, and engineering. This problem must be overcome to achieve the goals while keeping the system stable. Moth Flame Optimization (MFO), a recently developed metaheuristic algorithm, will be used to solve objective functions of the OPF issue for combined cost and emission reduction in IEEE 57-bus systems with thermal and stochastic wind-solar-small hydropower producing systems. According to the data, the MFO generated the best results across all simulated research conditions. MFO, for example, offers a total cost and emission of power generation of 248.4547 $/h for IEEE 57-bus systems, providing a 1.5 percent cost savings per hour above the worst values obtained when comparing approaches. According to the statistics, MFO beats the other algorithms and is a viable solution to the OPF problem.
{"title":"Moth Flame Optimization Algorithm including Renewable Energy for Minimization of Generation & Emission Costs in Optimal Power Flow","authors":"M. Alam, M. Sulaiman, Asma Ferdowsi, M. Sayem, Nazmus Sakib Bin Khair","doi":"10.1109/ACEEE56193.2022.9851834","DOIUrl":"https://doi.org/10.1109/ACEEE56193.2022.9851834","url":null,"abstract":"Optimal power flow is an approach for enhancing power system performance, scheduling, and energy management. Because of its adaptability in a variety of settings, optimum power flow is becoming increasingly vital. The demand for optimization is driven by the need for cost-effective, efficient, and optimum solutions. Optimization is useful in a variety of fields, including science, economics, and engineering. This problem must be overcome to achieve the goals while keeping the system stable. Moth Flame Optimization (MFO), a recently developed metaheuristic algorithm, will be used to solve objective functions of the OPF issue for combined cost and emission reduction in IEEE 57-bus systems with thermal and stochastic wind-solar-small hydropower producing systems. According to the data, the MFO generated the best results across all simulated research conditions. MFO, for example, offers a total cost and emission of power generation of 248.4547 $/h for IEEE 57-bus systems, providing a 1.5 percent cost savings per hour above the worst values obtained when comparing approaches. According to the statistics, MFO beats the other algorithms and is a viable solution to the OPF problem.","PeriodicalId":142893,"journal":{"name":"2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127345833","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}
Improving the accuracy of short-term power prediction of photovoltaic power generation systems is of great significance for the safe scheduling and stable operation of power systems. The algorithm in this paper uses the Light Gradient Boosting Machine (LGBM) algorithm in the baseline layer and the Extreme Gradient Boosting (XGBoost) algorithm in the boost layer, thus proposing a double-layer combined prediction algorithm based on LGBM-XGBoost to predict short-term photovoltaic power generation. This paper selects the power data of a photovoltaic power plant for one year as the training set, and predicts the actual power of photovoltaic power in the next week in the test set. Firstly, the importance of the features provided in the training set data is sorted, and the most important feature is discovered. However, the test set does not have this feature. Therefore, the strategy of divisional training is used to predict the most important feature first, and then predict the final actual power. At the same time, in order to avoid the defect of using a single prediction method for two trainings, a double-layer combined prediction method is adopted. The baseline layer uses the LGBM algorithm to predict the missing strong features of the test set. After adding the predicted strong features, establish multiple time zones for feature cross processing to build new features. Based on feature engineering, the boost layer uses the XGBoost algorithm to predict the photovoltaic power. Compared with using a single algorithm, the double-layer combined prediction algorithm effectively improves the accuracy of short-term prediction of photovoltaic power and meets the requirements of short-term prediction of photovoltaic power systems.
{"title":"Short-Term Photovoltaic Power Prediction Based on LGBM-XGBoost","authors":"Xuerui Chen, Yumin Liu, Qiang Li, Wenjing Li, Zhu Liu, Wenjing Guo","doi":"10.1109/ACEEE56193.2022.9851857","DOIUrl":"https://doi.org/10.1109/ACEEE56193.2022.9851857","url":null,"abstract":"Improving the accuracy of short-term power prediction of photovoltaic power generation systems is of great significance for the safe scheduling and stable operation of power systems. The algorithm in this paper uses the Light Gradient Boosting Machine (LGBM) algorithm in the baseline layer and the Extreme Gradient Boosting (XGBoost) algorithm in the boost layer, thus proposing a double-layer combined prediction algorithm based on LGBM-XGBoost to predict short-term photovoltaic power generation. This paper selects the power data of a photovoltaic power plant for one year as the training set, and predicts the actual power of photovoltaic power in the next week in the test set. Firstly, the importance of the features provided in the training set data is sorted, and the most important feature is discovered. However, the test set does not have this feature. Therefore, the strategy of divisional training is used to predict the most important feature first, and then predict the final actual power. At the same time, in order to avoid the defect of using a single prediction method for two trainings, a double-layer combined prediction method is adopted. The baseline layer uses the LGBM algorithm to predict the missing strong features of the test set. After adding the predicted strong features, establish multiple time zones for feature cross processing to build new features. Based on feature engineering, the boost layer uses the XGBoost algorithm to predict the photovoltaic power. Compared with using a single algorithm, the double-layer combined prediction algorithm effectively improves the accuracy of short-term prediction of photovoltaic power and meets the requirements of short-term prediction of photovoltaic power systems.","PeriodicalId":142893,"journal":{"name":"2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122593028","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}
State estimation (SE) has been the core of energy management system for power grid. This paper describes the WLS estimator and the WLAV estimator. The convergence, Good Measurement Rate (GMR) and computational efficiency of the two estimators are compared in a practical power system in China. The results show that the Weighted Least Absolute Value (WLAV) estimator requires more iterations and takes up more CPU time due to a large number of inequality constraints. It is worth noting that the robustness of the WLAV estimator makes it has better estimation accuracy and higher GMR in the unknown-oriented SE. Although the Weighted Least Squares (WLS) estimator itself cannot resist the influence of bad data, the application of bad data identification can effectively improve its GMR and accuracy of SE. Compared with the impact of inequality constraints on the computational efficiency of the WLAV estimator, the WLS estimator with bad data identification can guarantee the computational efficiency and ensure the GMR of SE.
{"title":"The Comparison of WLS and WLAV Based State Estimator in Practical Power System","authors":"Yangque Zhu, Yonghui Xie, Ming Wu, Genghui Zhu, Xiao Wang, Lilan Dong","doi":"10.1109/ACEEE56193.2022.9851829","DOIUrl":"https://doi.org/10.1109/ACEEE56193.2022.9851829","url":null,"abstract":"State estimation (SE) has been the core of energy management system for power grid. This paper describes the WLS estimator and the WLAV estimator. The convergence, Good Measurement Rate (GMR) and computational efficiency of the two estimators are compared in a practical power system in China. The results show that the Weighted Least Absolute Value (WLAV) estimator requires more iterations and takes up more CPU time due to a large number of inequality constraints. It is worth noting that the robustness of the WLAV estimator makes it has better estimation accuracy and higher GMR in the unknown-oriented SE. Although the Weighted Least Squares (WLS) estimator itself cannot resist the influence of bad data, the application of bad data identification can effectively improve its GMR and accuracy of SE. Compared with the impact of inequality constraints on the computational efficiency of the WLAV estimator, the WLS estimator with bad data identification can guarantee the computational efficiency and ensure the GMR of SE.","PeriodicalId":142893,"journal":{"name":"2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE)","volume":"12 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116757737","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 : 2022-07-08DOI: 10.1109/ACEEE56193.2022.9851871
Yeh Chao-Tsung, Phuong Nguyen Thanh, Cho Ming-Yuan, Chen Meng-Jie
The purpose of this paper is to design and build an independent microgrid for small factory users, through the addition of renewable energy with energy storage system (ESS) and energy management systems (EMS), the electricity will be integrated into the mains grid. When power grid is going to shut down, the proposed system can also become a small smart microgrid independently to supply part of the load, and to provide flexible and flexible power allocation. Meanwhile it combines with the energy management system to effectively record various equipment data, and for users to monitor and analyze the power status in immediately to maintain stable power supply quality. Finally, the demonstration system built in this thesis verifies the effectiveness and practicability of the proposed microgrid through field measurement and result analysis.
{"title":"Design and Construction of Microgrid in Small Factories","authors":"Yeh Chao-Tsung, Phuong Nguyen Thanh, Cho Ming-Yuan, Chen Meng-Jie","doi":"10.1109/ACEEE56193.2022.9851871","DOIUrl":"https://doi.org/10.1109/ACEEE56193.2022.9851871","url":null,"abstract":"The purpose of this paper is to design and build an independent microgrid for small factory users, through the addition of renewable energy with energy storage system (ESS) and energy management systems (EMS), the electricity will be integrated into the mains grid. When power grid is going to shut down, the proposed system can also become a small smart microgrid independently to supply part of the load, and to provide flexible and flexible power allocation. Meanwhile it combines with the energy management system to effectively record various equipment data, and for users to monitor and analyze the power status in immediately to maintain stable power supply quality. Finally, the demonstration system built in this thesis verifies the effectiveness and practicability of the proposed microgrid through field measurement and result analysis.","PeriodicalId":142893,"journal":{"name":"2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134239885","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 : 2022-07-08DOI: 10.1109/ACEEE56193.2022.9851828
Thiagaletchumi V Maniam, Christina Chin May May, N. Sakundarini
Peer-to-peer (P2P) energy trading is a new platform-based approach of operating power systems that enables consumers or prosumers to generate their own electricity for personal consumption utilizing renewable energy (RE) technologies such as rooftop solar panels, and then store any excess energy in an energy storage device or prosumers can supply it to other consumers in need. In Malaysia, P2P energy trading implementation is still in its early stages of development, with a pilot trial conducted in 2019, but it is an opportunity to capitalize on considering the potential that P2P energy trading offers. Thus, a preliminary study was carried out in order to gather primary data and address the research question, which focuses on how to overcome the issues or challenges faced by regulators, industry players, and consumers, especially with regard to the implementation of P2P energy trading in Malaysia. This study is important in order to gain perspectives and insights from experts in the field by leveraging the implicit and tacit knowledge of relevant regulators and industry experts that may not have been documented in previous papers. Therefore, as a part of the data collection process, a focus group discussion (FGD) was carried out in this study. As a result, this study was able to identify the key issues or challenges faced in terms of implementing the P2P energy trading pilot project, as well as six key driving factors and five potential recommendations as preliminary findings that may assist in addressing the identified issues or challenges.
{"title":"Preliminary Study of Stakeholders' Perspectives on Peer-to-Peer (P2P) Energy Trading Implementation in Malaysia","authors":"Thiagaletchumi V Maniam, Christina Chin May May, N. Sakundarini","doi":"10.1109/ACEEE56193.2022.9851828","DOIUrl":"https://doi.org/10.1109/ACEEE56193.2022.9851828","url":null,"abstract":"Peer-to-peer (P2P) energy trading is a new platform-based approach of operating power systems that enables consumers or prosumers to generate their own electricity for personal consumption utilizing renewable energy (RE) technologies such as rooftop solar panels, and then store any excess energy in an energy storage device or prosumers can supply it to other consumers in need. In Malaysia, P2P energy trading implementation is still in its early stages of development, with a pilot trial conducted in 2019, but it is an opportunity to capitalize on considering the potential that P2P energy trading offers. Thus, a preliminary study was carried out in order to gather primary data and address the research question, which focuses on how to overcome the issues or challenges faced by regulators, industry players, and consumers, especially with regard to the implementation of P2P energy trading in Malaysia. This study is important in order to gain perspectives and insights from experts in the field by leveraging the implicit and tacit knowledge of relevant regulators and industry experts that may not have been documented in previous papers. Therefore, as a part of the data collection process, a focus group discussion (FGD) was carried out in this study. As a result, this study was able to identify the key issues or challenges faced in terms of implementing the P2P energy trading pilot project, as well as six key driving factors and five potential recommendations as preliminary findings that may assist in addressing the identified issues or challenges.","PeriodicalId":142893,"journal":{"name":"2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131029165","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 order to reduce the loss of transmission line, capacitors are often compensated in series to improve the power transmission capacity of transmission line. However, the change of grid state caused by series capacitor increases the risk of sub-synchronous oscillation in wind farm. In order to solve the problem of sub-synchronous Oscillation, the impedance model of DFIG using virtual synchronous control method is established in the synchronous rotating coordinate system. A cooperative control method of voltage compensation and additional damping is proposed to suppress the sub-synchronous oscillation. Finally, the effectiveness of the compensation control method is verified by simulation analysis.
{"title":"Study on Oscillation of Doubly Fed Wind Turbine Based on Additional Damping Control Strategy","authors":"Zhen-bin Li, Zhengyang Ma, Chuanzhu Yi, Xuekun Cheng, Yangfan Zhang, Xueguang Zhang","doi":"10.1109/ACEEE56193.2022.9851824","DOIUrl":"https://doi.org/10.1109/ACEEE56193.2022.9851824","url":null,"abstract":"In order to reduce the loss of transmission line, capacitors are often compensated in series to improve the power transmission capacity of transmission line. However, the change of grid state caused by series capacitor increases the risk of sub-synchronous oscillation in wind farm. In order to solve the problem of sub-synchronous Oscillation, the impedance model of DFIG using virtual synchronous control method is established in the synchronous rotating coordinate system. A cooperative control method of voltage compensation and additional damping is proposed to suppress the sub-synchronous oscillation. Finally, the effectiveness of the compensation control method is verified by simulation analysis.","PeriodicalId":142893,"journal":{"name":"2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE)","volume":"3 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130645920","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}
Compared with the traditional land-based photovoltaic power station, the water surface photovoltaic power station not only strengthens the comprehensive utilization of water area, but also has the advantages of inhibiting evaporation and saving water resources. In this paper, taking the Panji 150 MW floating photovoltaic power station in Huainan City as the object, the first large-scale floating photovoltaic power station empirical platform is built, and the continuous evaporation in-situ monitoring experiment is carried out to process and analyze the evaporation observation data. Firstly, diurnal variation characteristics of natural evaporation in the area of floating photovoltaic construction are summarized. Then, the monthly variation trend of evaporation under the module panel is investigated. Finally, the characteristics of evaporation under different modules are compared and discussed, and it is found that the inhibition rate of evaporation under the photovoltaic module panel is between 39.87% and 47.80% during an evaporation monitoring period in the summer of 2021. The experimental results demonstrate that the coverage of floating photovoltaic can effectively restrain the evaporation, and the evaporation under the module panel has a tendency of uneven distribution within a year. There is a slight difference in the amount of evaporation under different modules. In the autumn of 2020, the total evaporation under the panel of APE back sheet photovoltaic module is the largest, followed by that of TPT, KPK, FCC.
{"title":"Measurement and Comparative Analysis of Evaporation under the Panel of Panji Floating Photovoltaic Power Station","authors":"Yaoping Bei, Bingqing Yuan, Dongmei Cao, Shaobo Ruan","doi":"10.1109/ACEEE56193.2022.9851830","DOIUrl":"https://doi.org/10.1109/ACEEE56193.2022.9851830","url":null,"abstract":"Compared with the traditional land-based photovoltaic power station, the water surface photovoltaic power station not only strengthens the comprehensive utilization of water area, but also has the advantages of inhibiting evaporation and saving water resources. In this paper, taking the Panji 150 MW floating photovoltaic power station in Huainan City as the object, the first large-scale floating photovoltaic power station empirical platform is built, and the continuous evaporation in-situ monitoring experiment is carried out to process and analyze the evaporation observation data. Firstly, diurnal variation characteristics of natural evaporation in the area of floating photovoltaic construction are summarized. Then, the monthly variation trend of evaporation under the module panel is investigated. Finally, the characteristics of evaporation under different modules are compared and discussed, and it is found that the inhibition rate of evaporation under the photovoltaic module panel is between 39.87% and 47.80% during an evaporation monitoring period in the summer of 2021. The experimental results demonstrate that the coverage of floating photovoltaic can effectively restrain the evaporation, and the evaporation under the module panel has a tendency of uneven distribution within a year. There is a slight difference in the amount of evaporation under different modules. In the autumn of 2020, the total evaporation under the panel of APE back sheet photovoltaic module is the largest, followed by that of TPT, KPK, FCC.","PeriodicalId":142893,"journal":{"name":"2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132251303","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 : 2022-07-08DOI: 10.1109/ACEEE56193.2022.9851833
R. Quintana, Carlos Quispe
In this article, it's proposed to analyze and present an alternative that allows to determine the transformation reserve in the electric transmission, through a methodology based on the Poisson distribution associated with the economic justification criterion; proposing it as a proposal to be applied in the planning processes of the expansion of the sub-transmission. One of the key issues in planning the expansion of the transmission system, is reliability and safety, which has recently been included in the regulation of transmission in Peru; Risk assessment is an effective instrument to help the decision process for the management of power transformers. There are few practical methodologies for evaluating spare transformers. In addition, such proposals do not necessarily take into account the costs that represent the system, either by under-sizing or over-sizing the reserve. According to the above, it is necessary to establish a methodology to balance the cost that would represent to make investments for the acquisition of the reserve transformers, and the benefits that would provide the reliability of the system against such purchases. Consequently, a methodology is proposed to determine the reserve of power transformers, considering risks and uncertainties, this proposal could contribute to the development of the planning of the expansion of the sub transmission in Peru.
{"title":"Methodological Proposal to Determine the Mobile Reserve of Power Transformers Considering Risks and Uncertainties","authors":"R. Quintana, Carlos Quispe","doi":"10.1109/ACEEE56193.2022.9851833","DOIUrl":"https://doi.org/10.1109/ACEEE56193.2022.9851833","url":null,"abstract":"In this article, it's proposed to analyze and present an alternative that allows to determine the transformation reserve in the electric transmission, through a methodology based on the Poisson distribution associated with the economic justification criterion; proposing it as a proposal to be applied in the planning processes of the expansion of the sub-transmission. One of the key issues in planning the expansion of the transmission system, is reliability and safety, which has recently been included in the regulation of transmission in Peru; Risk assessment is an effective instrument to help the decision process for the management of power transformers. There are few practical methodologies for evaluating spare transformers. In addition, such proposals do not necessarily take into account the costs that represent the system, either by under-sizing or over-sizing the reserve. According to the above, it is necessary to establish a methodology to balance the cost that would represent to make investments for the acquisition of the reserve transformers, and the benefits that would provide the reliability of the system against such purchases. Consequently, a methodology is proposed to determine the reserve of power transformers, considering risks and uncertainties, this proposal could contribute to the development of the planning of the expansion of the sub transmission in Peru.","PeriodicalId":142893,"journal":{"name":"2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114426972","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 : 2022-07-08DOI: 10.1109/ACEEE56193.2022.9851875
S. Taco-Vasquez, P. Arauz, M. Trujillo, William Oñate, Gustavo Caiza
Proper monitoring of the components of a system leads to a successful control of it. Fault detection and diagnosis (FDD) is an effective methodology that uses system's information commonly measured from sensors and other devices along with mathematical and statistical theories to effectively control and improve a system's performance. In this study, fault detection and diagnosis (iFDD) was applied to analyze and detect series arcing in an AC electrical installation. The iFDD methodology presented in this article focused on pattern recognition and fingerprint analysis of voltage and current signals under induced series arcing. An AC power system, often found in houses or commercial buildings for daily use of electrical appliances and equipment, was constructed and utilized for series arcing experiments. The tests were conducted on experimental currents (2–7 A) measured on domestic loads (halogen lamp and ranger plate). All data were digitized with a sample rate of 250 kHz (oscilloscope sampling rate was 250 MHz). Fingerprints of series arcing under different working conditions were analyzed. Multiresolution wavelet decomposition of current and voltage signals were applied using MATLAB for analysis of fault transients with selection of a suitable mother wavelet. Results showed that db4 is suitable for detection of series arcing using information of the current signal
{"title":"Functional Analysis for Series Arc Fault Diagnosis in Residential AC Power System","authors":"S. Taco-Vasquez, P. Arauz, M. Trujillo, William Oñate, Gustavo Caiza","doi":"10.1109/ACEEE56193.2022.9851875","DOIUrl":"https://doi.org/10.1109/ACEEE56193.2022.9851875","url":null,"abstract":"Proper monitoring of the components of a system leads to a successful control of it. Fault detection and diagnosis (FDD) is an effective methodology that uses system's information commonly measured from sensors and other devices along with mathematical and statistical theories to effectively control and improve a system's performance. In this study, fault detection and diagnosis (iFDD) was applied to analyze and detect series arcing in an AC electrical installation. The iFDD methodology presented in this article focused on pattern recognition and fingerprint analysis of voltage and current signals under induced series arcing. An AC power system, often found in houses or commercial buildings for daily use of electrical appliances and equipment, was constructed and utilized for series arcing experiments. The tests were conducted on experimental currents (2–7 A) measured on domestic loads (halogen lamp and ranger plate). All data were digitized with a sample rate of 250 kHz (oscilloscope sampling rate was 250 MHz). Fingerprints of series arcing under different working conditions were analyzed. Multiresolution wavelet decomposition of current and voltage signals were applied using MATLAB for analysis of fault transients with selection of a suitable mother wavelet. Results showed that db4 is suitable for detection of series arcing using information of the current signal","PeriodicalId":142893,"journal":{"name":"2022 5th Asia Conference on Energy and Electrical Engineering (ACEEE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123406894","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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