Pub Date : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166207
Hongyi Wang, Zhe Chen
Accuracy and simplicity issues of the widely-used aggregated model of wind farms focus on minimizing the error during the transient characteristics. In order to reduce the deviation between the detailed and reduced-order model, this paper presents a data-driven system identification method to discover a mathematical structure from the error data that possibly improve the established model. In this work, we devise a library of candidate dynamics tailored to wind farms for regression algorithm. This framework only requires fairly little data and is robust to noise, having good performance for the response to fast system variation. The simulation result illustrates the accuracy of the improved aggregation model of a wind power plant under low voltage ride-through (LVRT) mode.
{"title":"Error Correction for Aggregation Model of Wind Farms Considering LVRT Characteristic","authors":"Hongyi Wang, Zhe Chen","doi":"10.1109/CEEPE58418.2023.10166207","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166207","url":null,"abstract":"Accuracy and simplicity issues of the widely-used aggregated model of wind farms focus on minimizing the error during the transient characteristics. In order to reduce the deviation between the detailed and reduced-order model, this paper presents a data-driven system identification method to discover a mathematical structure from the error data that possibly improve the established model. In this work, we devise a library of candidate dynamics tailored to wind farms for regression algorithm. This framework only requires fairly little data and is robust to noise, having good performance for the response to fast system variation. The simulation result illustrates the accuracy of the improved aggregation model of a wind power plant under low voltage ride-through (LVRT) mode.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"541 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127052204","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166843
Yiyang Song, Tiance Zhang, Lin Wen, Jianxiao Wang, Dan Zeng, Lei Cui
The high proportion of renewable energy integration and the sharp fluctuation of load bring huge backup demand to the power system, which requires the auxiliary service of thermal power units to ensure the safety of the power system. However, the widely used marginal price mechanism is difficult to identify the externalities value of market members and the value of ancillary services provided by generators. To accurately identify the externality value of market members, the Vickey-Clarke-Groves (VCG) mechanism based on incremental costs was introduced. Compared with the marginal price mechanism, the VCG mechanism requires removing the generators sequentially and re-optimizing, which is computationally inefficient. An accelerated algorithm based on optimal base replacement is proposed, which uses the dual simplex method to perform optimal basis replacement based on the initial optimal basis to obtain the optimal solution of the new problem after removing generators. Case studies based on modified IEEE30-bus system demonstrate the significant improvement of the acceleration algorithm on the computational efficiency of the VCG mechanism.
{"title":"Externality Value-Based Pricing Mechanism for Energy and Ancillary Service Markets","authors":"Yiyang Song, Tiance Zhang, Lin Wen, Jianxiao Wang, Dan Zeng, Lei Cui","doi":"10.1109/CEEPE58418.2023.10166843","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166843","url":null,"abstract":"The high proportion of renewable energy integration and the sharp fluctuation of load bring huge backup demand to the power system, which requires the auxiliary service of thermal power units to ensure the safety of the power system. However, the widely used marginal price mechanism is difficult to identify the externalities value of market members and the value of ancillary services provided by generators. To accurately identify the externality value of market members, the Vickey-Clarke-Groves (VCG) mechanism based on incremental costs was introduced. Compared with the marginal price mechanism, the VCG mechanism requires removing the generators sequentially and re-optimizing, which is computationally inefficient. An accelerated algorithm based on optimal base replacement is proposed, which uses the dual simplex method to perform optimal basis replacement based on the initial optimal basis to obtain the optimal solution of the new problem after removing generators. Case studies based on modified IEEE30-bus system demonstrate the significant improvement of the acceleration algorithm on the computational efficiency of the VCG mechanism.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127058868","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10167141
Fuzeng Bao, Rao Liu, Yannan Chang, Yiwen Sun, Haixia Wang, Y. Ba
The operation safety of the power grid during the summer peak period is affected by the accuracy of short-term summer load forecasting directly. Firstly, we point out that temperature is essential to determine the summer load variation through the analysis. Then, we propose a hierarchical model based on temporal convolutional network (TCN) and long short-term memory network (LSTM) to solve the problem of forecast accuracy decline caused by the non-linearity between temperature and load. The model emphasizes the influence of temperature on load variation structurally and reflects the nonlinear correspondence between temperature and load accurately. By actual data analysis, the accumulated days of temperature and the input sequence length of the model are determined. The example shows that the established hierarchical model has higher forecast accuracy than the conventional single-layer neural network model.
{"title":"Summer Short-Term Electric Load Forecasting Based on Hierarchical Model","authors":"Fuzeng Bao, Rao Liu, Yannan Chang, Yiwen Sun, Haixia Wang, Y. Ba","doi":"10.1109/CEEPE58418.2023.10167141","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10167141","url":null,"abstract":"The operation safety of the power grid during the summer peak period is affected by the accuracy of short-term summer load forecasting directly. Firstly, we point out that temperature is essential to determine the summer load variation through the analysis. Then, we propose a hierarchical model based on temporal convolutional network (TCN) and long short-term memory network (LSTM) to solve the problem of forecast accuracy decline caused by the non-linearity between temperature and load. The model emphasizes the influence of temperature on load variation structurally and reflects the nonlinear correspondence between temperature and load accurately. By actual data analysis, the accumulated days of temperature and the input sequence length of the model are determined. The example shows that the established hierarchical model has higher forecast accuracy than the conventional single-layer neural network model.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126703191","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166305
Hongfa Li, Qingjiang Chen, Shaobing Cheng, Zhicong Dong, Rongpeng Wang, Ruige Cai, Beisi Huang, Gang Liu
The discharge inside the suspension clamp is a significant factor for the damage of overhead ground wire. To find the reason of discharge, an electric circuit model was established to analyze the current distribution of contact points inside the Ground Wire-Suspension Clamp System (GW-SC System). Subsequently, the current waveform flowing through each contact point in different torque was obtained through finite element simulation. Based on the result, a single contact point model was created to analyze the electric field intensity distribution around the contact point with the highest current flow. The final result shows that, under the action of lightning current, the air gap near the contact point has a very high electric field intensity, which may even exceed 30kV/cm. The shape and size of contact point have a great impact on the electric field intensity and distribution.
{"title":"Discharge Conditions Analysis of Lightning Current Action on Ground Wire-Suspension Clamp System","authors":"Hongfa Li, Qingjiang Chen, Shaobing Cheng, Zhicong Dong, Rongpeng Wang, Ruige Cai, Beisi Huang, Gang Liu","doi":"10.1109/CEEPE58418.2023.10166305","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166305","url":null,"abstract":"The discharge inside the suspension clamp is a significant factor for the damage of overhead ground wire. To find the reason of discharge, an electric circuit model was established to analyze the current distribution of contact points inside the Ground Wire-Suspension Clamp System (GW-SC System). Subsequently, the current waveform flowing through each contact point in different torque was obtained through finite element simulation. Based on the result, a single contact point model was created to analyze the electric field intensity distribution around the contact point with the highest current flow. The final result shows that, under the action of lightning current, the air gap near the contact point has a very high electric field intensity, which may even exceed 30kV/cm. The shape and size of contact point have a great impact on the electric field intensity and distribution.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121033706","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166259
Oliver Quispe de la Cruz, Marco Cesar Paytán Valero, Sario Angel Chamorro Quijano, Cesar Quispe Lopez, Diego Ricardo Cajachagua Guerreros
This research presents a double pumping system to harness water even during periods of low water demand in the Peruvian highlands. In this way, a regular hydroelectric power plant was transformed into a double pumped hydroelectric power plant. The proposed system consists of 4 stages for the coupling of the double pumping system in regions of the Peruvian highlands. In the first stage, the drought period was evaluated based on historical hydrometeorological data from the Malpaso station. In the second stage, the activation of the system was validated, verifying whether the daily energy produced by the hydroelectric plant is lower than usual and confirming that the region has periods of low water demand. In the third stage, the energy generated by the solar panels was redirected during the night. In the fourth stage, the hydraulic pumps located in the lower reservoir were activated to bring water to the upper reservoir thanks to the photovoltaic energy generated, increasing the water resource in the upper reservoir. The proposed system design will provide an alternative to maintain stable flows of electricity production, even if the generation area has a deficit of water resources due to low rainfall.
{"title":"Photovoltaic Energy as an Alternative in Times of Low Water Demand in Hydroelectric Power Plants","authors":"Oliver Quispe de la Cruz, Marco Cesar Paytán Valero, Sario Angel Chamorro Quijano, Cesar Quispe Lopez, Diego Ricardo Cajachagua Guerreros","doi":"10.1109/CEEPE58418.2023.10166259","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166259","url":null,"abstract":"This research presents a double pumping system to harness water even during periods of low water demand in the Peruvian highlands. In this way, a regular hydroelectric power plant was transformed into a double pumped hydroelectric power plant. The proposed system consists of 4 stages for the coupling of the double pumping system in regions of the Peruvian highlands. In the first stage, the drought period was evaluated based on historical hydrometeorological data from the Malpaso station. In the second stage, the activation of the system was validated, verifying whether the daily energy produced by the hydroelectric plant is lower than usual and confirming that the region has periods of low water demand. In the third stage, the energy generated by the solar panels was redirected during the night. In the fourth stage, the hydraulic pumps located in the lower reservoir were activated to bring water to the upper reservoir thanks to the photovoltaic energy generated, increasing the water resource in the upper reservoir. The proposed system design will provide an alternative to maintain stable flows of electricity production, even if the generation area has a deficit of water resources due to low rainfall.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126531739","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166393
Jianhua Gong, Li Liu, Keng-Weng Lao
Coordinated voltage and reactive power control of the active distribution networks (ADNs) are usually based on discrete regulating devices like the on-load tap changer (OLTC). However, frequent operations of the OLTC are detrimental to its long-term service life. Also, discrete adjustments of OLTC taps cannot meet the requirement of precise volt/var control (VVC). To address this, the emerging electric spring is proposed for joint VVC with the OLTC in ADNs in this paper. First, we develop a time-series optimization model for VVC in ADN. In this model, multiple electric springs and the OLTC are regarded as controllable devices. The objective function comprises minimum power losses and minimum voltage violations. Then, the electric springs contribute to decreasing total tap movements of OLTC, which is represented as a constraint in the proposed model. Case studies are carried out on a modified IEEE-33 test feeder. Simulation results validate the effectiveness and accuracy of the proposed model.
{"title":"Cooperative Scheduling of Electric Springs and On-Load Tap Changers for Volt/Var Control in Active Distribution Networks","authors":"Jianhua Gong, Li Liu, Keng-Weng Lao","doi":"10.1109/CEEPE58418.2023.10166393","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166393","url":null,"abstract":"Coordinated voltage and reactive power control of the active distribution networks (ADNs) are usually based on discrete regulating devices like the on-load tap changer (OLTC). However, frequent operations of the OLTC are detrimental to its long-term service life. Also, discrete adjustments of OLTC taps cannot meet the requirement of precise volt/var control (VVC). To address this, the emerging electric spring is proposed for joint VVC with the OLTC in ADNs in this paper. First, we develop a time-series optimization model for VVC in ADN. In this model, multiple electric springs and the OLTC are regarded as controllable devices. The objective function comprises minimum power losses and minimum voltage violations. Then, the electric springs contribute to decreasing total tap movements of OLTC, which is represented as a constraint in the proposed model. Case studies are carried out on a modified IEEE-33 test feeder. Simulation results validate the effectiveness and accuracy of the proposed model.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131328656","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166840
Zhiwei Chen, Tao Chen, Kunwei Zheng, Huan-Yu Lin, Xuesi Gao
Timely maintenance of the key equipment in valve cooling system plays an important part in maintaining stable operation of a flexible DC converter station. In order to accurately locate and recognize the defects from infrared images of a motor of circulating pump, a motor fault detection method based on improved YOLOv3 is proposed in this paper. First, an improved Multi-Scale Retinex with Chromaticity Preservation (MSRCP) image enhancement algorithm based on Y component is proposed to increase the infrared image contrast, which makes the target more prominent. Then the convolutional block attention module (CBAM) is applied to feature pyramid network (FPN) to improve the YOLOv3 network. In order to improve the accuracy of model as much as possible, various kinds of training strategies are employed, which include mosaic data augmentation, mixup data augmentation, label smoothing, exponential moving average (EMA) and transfer learning. Finally, comparative experiments are carried out to test the effectiveness of the employed methods. The experiment results show that the network improvement methods could effectively increase the detection accuracy of the model. The mean of average precision (mAP) of the final model reaches 96.09%, and the average fault detection accuracy improves to 94.98%. The detection speed of the improved model can reach 42 frames per second (FPS), which meets the real-time monitoring requirements of the valve cooling system equipment.
{"title":"Fault Detection Method of Infrared Image for Circulating Pump Motor in Valve Cooling System Based on Improved YOLOv3","authors":"Zhiwei Chen, Tao Chen, Kunwei Zheng, Huan-Yu Lin, Xuesi Gao","doi":"10.1109/CEEPE58418.2023.10166840","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166840","url":null,"abstract":"Timely maintenance of the key equipment in valve cooling system plays an important part in maintaining stable operation of a flexible DC converter station. In order to accurately locate and recognize the defects from infrared images of a motor of circulating pump, a motor fault detection method based on improved YOLOv3 is proposed in this paper. First, an improved Multi-Scale Retinex with Chromaticity Preservation (MSRCP) image enhancement algorithm based on Y component is proposed to increase the infrared image contrast, which makes the target more prominent. Then the convolutional block attention module (CBAM) is applied to feature pyramid network (FPN) to improve the YOLOv3 network. In order to improve the accuracy of model as much as possible, various kinds of training strategies are employed, which include mosaic data augmentation, mixup data augmentation, label smoothing, exponential moving average (EMA) and transfer learning. Finally, comparative experiments are carried out to test the effectiveness of the employed methods. The experiment results show that the network improvement methods could effectively increase the detection accuracy of the model. The mean of average precision (mAP) of the final model reaches 96.09%, and the average fault detection accuracy improves to 94.98%. The detection speed of the improved model can reach 42 frames per second (FPS), which meets the real-time monitoring requirements of the valve cooling system equipment.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"67 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113937548","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166224
W. Cai, Yuan Wang, Haixia Lv, Ye Li, Kaiyang Song, Lanxi Tang, Minjian Cao, Shuran Liu
The proportion of intermittent renewable energy has rapidly increased, and gradually become the main form of power generation. Under massive planning and construction of renewable energies, the rotating inertia of regional power system shows a gradually decreasing trend which weakens the power system's frequency stability, so it is necessary to take the system inertia as a constraint index in future high penetration renewable development planning. This paper introduces a method to estimate the inertia and the minimum inertia limit for traditional power system and for future high renewable penetration power system including virtual inertia of renewable generation. An actual provincial power system is used in this paper as the case study to analyze the trend of system inertia and minimum inertia constraint under massive renewable development.
{"title":"High Renewable Penetration Development Planning under System Inertia Constraints","authors":"W. Cai, Yuan Wang, Haixia Lv, Ye Li, Kaiyang Song, Lanxi Tang, Minjian Cao, Shuran Liu","doi":"10.1109/CEEPE58418.2023.10166224","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166224","url":null,"abstract":"The proportion of intermittent renewable energy has rapidly increased, and gradually become the main form of power generation. Under massive planning and construction of renewable energies, the rotating inertia of regional power system shows a gradually decreasing trend which weakens the power system's frequency stability, so it is necessary to take the system inertia as a constraint index in future high penetration renewable development planning. This paper introduces a method to estimate the inertia and the minimum inertia limit for traditional power system and for future high renewable penetration power system including virtual inertia of renewable generation. An actual provincial power system is used in this paper as the case study to analyze the trend of system inertia and minimum inertia constraint under massive renewable development.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"26 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113942215","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10167082
Zhan Liu, Gan Zhou, Yanjun Feng, Jing Zhang, Ying Zeng, Long Jin
Non-intrusive load monitoring (NILM) is the basis of end-side informatization applications in smart grids. At the same time, the fine-grained power consumption of equipment decomposed by non-intrusive load monitoring algorithms also plays an important role in adjusting the power consumption structure. At present, deep neural network has become the focus of research in the field of non-intrusive load identification, but most neural network models only focus on how to improve the identification accuracy, while ignoring the network size requirements of hardware monitoring devices in the actual deployment process. In this paper, we propose a lightweight convolutional neural network combined with channel attention mechanism (LACNet). Through the serialized multi-scale dilated convolution structure, while increasing the receptive field, reducing the parameters to achieve the purpose of compressing the model size, and also using the channel attention mechanism to optimize different features to improve the model identification accuracy. Finally, we conducted experimental verification on the public dataset UK-DALE. The results showed that LACNet outperforms several existing load identification networks in terms of EA and other evaluation metrics. At the same time, the model parameters are also greatly reduced.
{"title":"A Lightweight Convolutional Network Combined with Channel Attention for Non-intrusive Load Monitoring","authors":"Zhan Liu, Gan Zhou, Yanjun Feng, Jing Zhang, Ying Zeng, Long Jin","doi":"10.1109/CEEPE58418.2023.10167082","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10167082","url":null,"abstract":"Non-intrusive load monitoring (NILM) is the basis of end-side informatization applications in smart grids. At the same time, the fine-grained power consumption of equipment decomposed by non-intrusive load monitoring algorithms also plays an important role in adjusting the power consumption structure. At present, deep neural network has become the focus of research in the field of non-intrusive load identification, but most neural network models only focus on how to improve the identification accuracy, while ignoring the network size requirements of hardware monitoring devices in the actual deployment process. In this paper, we propose a lightweight convolutional neural network combined with channel attention mechanism (LACNet). Through the serialized multi-scale dilated convolution structure, while increasing the receptive field, reducing the parameters to achieve the purpose of compressing the model size, and also using the channel attention mechanism to optimize different features to improve the model identification accuracy. Finally, we conducted experimental verification on the public dataset UK-DALE. The results showed that LACNet outperforms several existing load identification networks in terms of EA and other evaluation metrics. At the same time, the model parameters are also greatly reduced.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121455580","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 : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10165872
Da Li, Haixing Zheng, Chaohui Wu, Junhua Weng, Xiaotong Li, Tingzhe Pan
In the context of dual-carbon, photovoltaic, as a green and clean energy, will present a high-speed development trend. More and more grid-connected photovoltaic will have a non-negligible impact on the operation of the grid. How to assess the PV hosting capacity of the distribution network for photovoltaic energy is an important issue in the development of PV. Therefore, a distributed photovoltaic source hosting capacity evaluation method for complex distribution network is proposed. First, the complex network structure is simplified and the load is simplified. Then, the cyclic dichotomy approximation method is used to solve the photovoltaic hosting capacity according to the simplified structure. Finally, a simulation is conducted to verified the effectiveness of the proposed method. This method has the advantages of simple calculation and small data demand compared with traditional complex calculation.
{"title":"Practical Assessment Method of PV Hosting Capacity in Complex Distribution Network","authors":"Da Li, Haixing Zheng, Chaohui Wu, Junhua Weng, Xiaotong Li, Tingzhe Pan","doi":"10.1109/CEEPE58418.2023.10165872","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10165872","url":null,"abstract":"In the context of dual-carbon, photovoltaic, as a green and clean energy, will present a high-speed development trend. More and more grid-connected photovoltaic will have a non-negligible impact on the operation of the grid. How to assess the PV hosting capacity of the distribution network for photovoltaic energy is an important issue in the development of PV. Therefore, a distributed photovoltaic source hosting capacity evaluation method for complex distribution network is proposed. First, the complex network structure is simplified and the load is simplified. Then, the cyclic dichotomy approximation method is used to solve the photovoltaic hosting capacity according to the simplified structure. Finally, a simulation is conducted to verified the effectiveness of the proposed method. This method has the advantages of simple calculation and small data demand compared with traditional complex calculation.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128448070","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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