Pub Date : 2023-05-12DOI: 10.1109/CEEPE58418.2023.10166806
Kaile Zeng, Siwen Zhang, Lizhong Xu, Ke Sun, Qiwen Tang, Yunchu Wang, Xinyue Jiang, Zhenzhi Lin
The growing penetration rate of renewable energy has transformed the operational characteristics of power systems. China's renewable energy sector is facing the challenge of achieving large-scale and high-quality development, and it is urgent to establish an effective price mechanism for renewable energy participation in the power market. A comparative study of the price mechanisms of renewable energy participation in the electricity market of Germany and China is presented in this paper. The price mechanism of renewable energy from various perspectives such as green value, capacity income, electricity energy income, and auxiliary service cost allocation is analyzed. Furthermore, the advantages and disadvantages of China's renewable energy sector participating in the electricity market price mechanism are compared and summarized. Through an analysis of foreign experience in mechanism construction, considerations for the construction and improvement of the electric power market price mechanism in China that involves renewable energy are provided.
{"title":"Analysis of Price Mechanisms for Renewable Energy Participation in the Electricity Market: A Comparative Study of Germany and China","authors":"Kaile Zeng, Siwen Zhang, Lizhong Xu, Ke Sun, Qiwen Tang, Yunchu Wang, Xinyue Jiang, Zhenzhi Lin","doi":"10.1109/CEEPE58418.2023.10166806","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166806","url":null,"abstract":"The growing penetration rate of renewable energy has transformed the operational characteristics of power systems. China's renewable energy sector is facing the challenge of achieving large-scale and high-quality development, and it is urgent to establish an effective price mechanism for renewable energy participation in the power market. A comparative study of the price mechanisms of renewable energy participation in the electricity market of Germany and China is presented in this paper. The price mechanism of renewable energy from various perspectives such as green value, capacity income, electricity energy income, and auxiliary service cost allocation is analyzed. Furthermore, the advantages and disadvantages of China's renewable energy sector participating in the electricity market price mechanism are compared and summarized. Through an analysis of foreign experience in mechanism construction, considerations for the construction and improvement of the electric power market price mechanism in China that involves renewable energy are provided.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"15 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":"131512955","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/CEEPE58418.2023.10166531
Maimaiti Nuer, Yanli Zhang, Xiaocui Wei, P. Liang, Juan Yu, Zhirun Zhu
Tail gas power generation is an effective way to deal with tail gas, which can avoid environmental pollution and improve the utilization rate of fossil energy. However, there is little research on grid connection of tail gas power generation. At the same time, the modeling of tail gas power generation, especially the modeling of gas tank, an important equipment in the process of tail gas power generation, is relatively simple and can not meet the needs of practical applications. In addition, how to deal with the integrated scheduling of tail gas power generation and other energy sources under constrained conditions after the grid connection of tail gas power generation is also one of the difficulties. Therefore, this paper proposes an optimal dispatch strategy for novel power system with tail gas generation under transmission constraints. The whole process of tail gas power generation is accurately modeled by this method, and the effectiveness of the proposed method is verified by an actual example.
{"title":"Optimal Dispatch Strategy for Novel Power System with Tail Gas Generation under Transmission Constraints","authors":"Maimaiti Nuer, Yanli Zhang, Xiaocui Wei, P. Liang, Juan Yu, Zhirun Zhu","doi":"10.1109/CEEPE58418.2023.10166531","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166531","url":null,"abstract":"Tail gas power generation is an effective way to deal with tail gas, which can avoid environmental pollution and improve the utilization rate of fossil energy. However, there is little research on grid connection of tail gas power generation. At the same time, the modeling of tail gas power generation, especially the modeling of gas tank, an important equipment in the process of tail gas power generation, is relatively simple and can not meet the needs of practical applications. In addition, how to deal with the integrated scheduling of tail gas power generation and other energy sources under constrained conditions after the grid connection of tail gas power generation is also one of the difficulties. Therefore, this paper proposes an optimal dispatch strategy for novel power system with tail gas generation under transmission constraints. The whole process of tail gas power generation is accurately modeled by this method, and the effectiveness of the proposed method is verified by an actual example.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"11 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":"131702007","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}
Load reduction control is an important technical measure to deal with the serious fault and emergency state of power grid, and it is also one of the important technical means to ensure the safe and stable operation of large power grid. This paper proposes a coordinated optimization strategy for multi-region emergency load reduction that takes the safety and stability of power grid and accident risk into account. By taking the cost of regional load reduction proportion into account, the coordinated optimization of multi-region load reduction control measures is realized, and the problem of excessive load reduction control in some regions caused by the lack of coordination of load reduction objects among multiple regions is solved. The case analysis results show that the proposed strategy can effectively guarantee the safety of power grid and reduce the control cost and the risk of safety accidents.
{"title":"Research on Coordinated Optimization Strategy for Multi-Region Emergency Load Shedding","authors":"Chunfeng Li, Dongsheng Zhang, Jinan Sun, Xin Zhao, Lei Yu, Hongyuan Wei","doi":"10.1109/CEEPE58418.2023.10166051","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166051","url":null,"abstract":"Load reduction control is an important technical measure to deal with the serious fault and emergency state of power grid, and it is also one of the important technical means to ensure the safe and stable operation of large power grid. This paper proposes a coordinated optimization strategy for multi-region emergency load reduction that takes the safety and stability of power grid and accident risk into account. By taking the cost of regional load reduction proportion into account, the coordinated optimization of multi-region load reduction control measures is realized, and the problem of excessive load reduction control in some regions caused by the lack of coordination of load reduction objects among multiple regions is solved. The case analysis results show that the proposed strategy can effectively guarantee the safety of power grid and reduce the control cost and the risk of safety accidents.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"40 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":"133108163","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/CEEPE58418.2023.10166653
Tianyi Liu, Aiwen Xue, Yening Lai, Guangyuan Shi, Ning Sun, Yunsong Yan
With the operation of Matiari-Lahore HVDC, Pakistan power grid has been transformed from a 500kV pure AC grid to a hybrid AC and DC grid. With the change in the structure and scale of Pakistan power grid, there is an urgent need to analyze and study the security and stability characteristics of the grid. This paper analyzes the stability characteristics of the grid after a fault in Matiari-Lahore HVDC. It proposes stability control strategies for typical modes and each AC-DC power combination case. Based on the simulation analysis of the hybrid AC-DC grid in Pakistan, this paper presents the architecture of the security and stability control system (hereafter referred to as SSCS) to support the stable operation of the Pakistan power system. The operation mode of the security and stability control device (hereafter referred to as SSCD) is studied. The interface between SSCS and HVDC, control and protection system, is realized. The innovative SSCS was applied to the Matiari-Lahore HVDC transmission project to realize the DC fault matching cutter control strategy based on different operating conditions. At the same time, the research and application are significant to the design, development, and implementation of SSCS for other DC transmission projects.
{"title":"Design and Application of Security and Stability Control System in Matiari-Lahore HVDC Transmission Project of Pakistan","authors":"Tianyi Liu, Aiwen Xue, Yening Lai, Guangyuan Shi, Ning Sun, Yunsong Yan","doi":"10.1109/CEEPE58418.2023.10166653","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10166653","url":null,"abstract":"With the operation of Matiari-Lahore HVDC, Pakistan power grid has been transformed from a 500kV pure AC grid to a hybrid AC and DC grid. With the change in the structure and scale of Pakistan power grid, there is an urgent need to analyze and study the security and stability characteristics of the grid. This paper analyzes the stability characteristics of the grid after a fault in Matiari-Lahore HVDC. It proposes stability control strategies for typical modes and each AC-DC power combination case. Based on the simulation analysis of the hybrid AC-DC grid in Pakistan, this paper presents the architecture of the security and stability control system (hereafter referred to as SSCS) to support the stable operation of the Pakistan power system. The operation mode of the security and stability control device (hereafter referred to as SSCD) is studied. The interface between SSCS and HVDC, control and protection system, is realized. The innovative SSCS was applied to the Matiari-Lahore HVDC transmission project to realize the DC fault matching cutter control strategy based on different operating conditions. At the same time, the research and application are significant to the design, development, and implementation of SSCS for other DC transmission projects.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"69 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":"133513772","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/CEEPE58418.2023.10165992
Jun Tao, Dawei Li, H. Zhang, Qianlong Zhu
In the assessment of voltage sag, due to the existence of uncertain operating interval of voltage sag tolerance characteristic curve, it is difficult to measure the economic losses caused by voltage sag when the equipment suffers from voltage sag of this interval type. In this paper, a optimal configuration model of Inverter-Interfaced Distributed Generator based on process immune time is proposed, which calculates the economic loss caused by voltage sag according to whether the key physical parameters of industrial process meet the acceptable limits. The model considers both the economy of reversible distributed generation under normal operation and its ability to suppress voltage sag of distribution network under fault operation. The objective is to minimize the investment cost, network loss, power purchase cost of upper power grid and economic loss of voltage sag. The genetic algorithm is used to solve the model. The simulation results show that the optimal configuration scheme of reversible distributed generation considering voltage sag has better overall economy and stronger ability to suppress voltage sag.
{"title":"Inverter-Interfaced Distributed Generator Optimal Configuration Based on Process Immune Time","authors":"Jun Tao, Dawei Li, H. Zhang, Qianlong Zhu","doi":"10.1109/CEEPE58418.2023.10165992","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10165992","url":null,"abstract":"In the assessment of voltage sag, due to the existence of uncertain operating interval of voltage sag tolerance characteristic curve, it is difficult to measure the economic losses caused by voltage sag when the equipment suffers from voltage sag of this interval type. In this paper, a optimal configuration model of Inverter-Interfaced Distributed Generator based on process immune time is proposed, which calculates the economic loss caused by voltage sag according to whether the key physical parameters of industrial process meet the acceptable limits. The model considers both the economy of reversible distributed generation under normal operation and its ability to suppress voltage sag of distribution network under fault operation. The objective is to minimize the investment cost, network loss, power purchase cost of upper power grid and economic loss of voltage sag. The genetic algorithm is used to solve the model. The simulation results show that the optimal configuration scheme of reversible distributed generation considering voltage sag has better overall economy and stronger ability to suppress voltage sag.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"54 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":"133056784","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}
The increase of the penetration rate of distributed rooftop photovoltaic (PV) in the distribution network brings uncertainties to the distribution network operation scenarios. It is difficult to meet the actual demand relying on manual operation to extract typical scenarios. To tackle this issue, this paper proposes an improved One-dimensional Deep Convolutional Embedded Clustering with ResNet Autoencoder (1D-RDCEC) based scenario reduction method to extract typical PV power output scenarios. Massive PV power output scenarios are generated by Conditional Generative Adversarial Networks (CGAN) with monthly labels, in order to provide sufficient and high-quality scenario set for the subsequent extraction of typical scenarios. 1D-RDCEC first uses a One-Dimensional Convolutional Autoencoder adding residual connection (1D-RCAE) to extract the latent features of PV power output. Then, a custom clustering layer is used to soft assign the extracted latent features. Finally, the clustering loss and reconstruction loss are combined as a joint optimization to extract typical scenarios of distributed rooftop PV power output. Experiments on Australian distribution network datasets have demonstrated the effectiveness of the proposed method.
{"title":"Typical Scenario Extraction of Distributed Rooftop Photovoltaic Power Output Using Improved Deep Convolutional Embedded Clustering","authors":"Fude Dong, Zilu Li, Yuantu Xu, Deqiang Zhu, Rongjie Huang, Haobin Zou, Xiangang Peng","doi":"10.1109/CEEPE58418.2023.10167066","DOIUrl":"https://doi.org/10.1109/CEEPE58418.2023.10167066","url":null,"abstract":"The increase of the penetration rate of distributed rooftop photovoltaic (PV) in the distribution network brings uncertainties to the distribution network operation scenarios. It is difficult to meet the actual demand relying on manual operation to extract typical scenarios. To tackle this issue, this paper proposes an improved One-dimensional Deep Convolutional Embedded Clustering with ResNet Autoencoder (1D-RDCEC) based scenario reduction method to extract typical PV power output scenarios. Massive PV power output scenarios are generated by Conditional Generative Adversarial Networks (CGAN) with monthly labels, in order to provide sufficient and high-quality scenario set for the subsequent extraction of typical scenarios. 1D-RDCEC first uses a One-Dimensional Convolutional Autoencoder adding residual connection (1D-RCAE) to extract the latent features of PV power output. Then, a custom clustering layer is used to soft assign the extracted latent features. Finally, the clustering loss and reconstruction loss are combined as a joint optimization to extract typical scenarios of distributed rooftop PV power output. Experiments on Australian distribution network datasets have demonstrated the effectiveness of the proposed method.","PeriodicalId":431552,"journal":{"name":"2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"13 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":"133440388","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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