Pub Date : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030707
Jian Chen, Yuanxing Gan, Haiwei Zhou, Jiayong Zhong, Chen He
Aiming at the problems of small application scope and poor performance of distributed energy in most power grid regulation strategies, an intelligent coordinated control strategy for distributed photovoltaic power generation clusters based on digital twin technology is proposed. Firstly, based on digital twin technology, a regulation system considering distributed photovoltaic power generation cluster is constructed, which can better handle and analyze the system operation state through the combination of virtual and real. Then, the optimization function is designed and modeled based on the voltage offset, line loss and surplus power. Finally, the simulated annealing algorithm is used to improve the particle swarm optimization algorithm, which is used to solve the mathematical model of the optimization goal to obtain the best intelligent control mode of the system. Based on IEEE 33 bus system, the proposed strategy is tested and analyzed. The experimental results show that the voltage offset, line loss and surplus power are 0.573 p.u., 230 kW and 152 kW respectively, and the cluster coordinated control effect is ideal.
{"title":"Intelligent Coordinated Control Strategy of Distributed Photovoltaic Power Generation Cluster Based on Digital Twin Technology","authors":"Jian Chen, Yuanxing Gan, Haiwei Zhou, Jiayong Zhong, Chen He","doi":"10.1109/CEECT55960.2022.10030707","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030707","url":null,"abstract":"Aiming at the problems of small application scope and poor performance of distributed energy in most power grid regulation strategies, an intelligent coordinated control strategy for distributed photovoltaic power generation clusters based on digital twin technology is proposed. Firstly, based on digital twin technology, a regulation system considering distributed photovoltaic power generation cluster is constructed, which can better handle and analyze the system operation state through the combination of virtual and real. Then, the optimization function is designed and modeled based on the voltage offset, line loss and surplus power. Finally, the simulated annealing algorithm is used to improve the particle swarm optimization algorithm, which is used to solve the mathematical model of the optimization goal to obtain the best intelligent control mode of the system. Based on IEEE 33 bus system, the proposed strategy is tested and analyzed. The experimental results show that the voltage offset, line loss and surplus power are 0.573 p.u., 230 kW and 152 kW respectively, and the cluster coordinated control effect is ideal.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128578622","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 : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030569
Mengyao Xu, Yang Liu, Juecen Mao, L. Pan
As an important way of utilizing solar energy, concentrating solar power technology has received extensive attention, while thermal storage system can remedy the randomness and intermittency of the concentrating solar power generation system. Hence, there is the significance to model and simulate the trough solar collection system and heat storage system. First, the dynamic models of the solar system, the mirror field heat collection system and the pipe heat transferring system are built using the mechanism modeling method. The effects of different flow rate and light intensity on system parameters like pipe wall temperature and fluid temperature are analyzed and compared. The verification result shows that the model can effectively reflect the practical dynamic characteristics of the heat collection system. Second, a one-dimensional model of the single-tank heat storage system with solid filling materials is established according to the energy and mass conservation laws, and compared with the zero dimensional model. The effects of porosity, filling materials and other key factors on the single-tank thermocline are analyzed and compared, showing that the model can predict the temperature change, thermal stratification and other properties of the thermocline with sufficient accuracy. The model provides a theoretical basis for the optimal design of concentrating solar power generation system.
{"title":"Modeling on Parabolic Trough Solar Thermal Power Collection System with Solid-filling Heat Storage System","authors":"Mengyao Xu, Yang Liu, Juecen Mao, L. Pan","doi":"10.1109/CEECT55960.2022.10030569","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030569","url":null,"abstract":"As an important way of utilizing solar energy, concentrating solar power technology has received extensive attention, while thermal storage system can remedy the randomness and intermittency of the concentrating solar power generation system. Hence, there is the significance to model and simulate the trough solar collection system and heat storage system. First, the dynamic models of the solar system, the mirror field heat collection system and the pipe heat transferring system are built using the mechanism modeling method. The effects of different flow rate and light intensity on system parameters like pipe wall temperature and fluid temperature are analyzed and compared. The verification result shows that the model can effectively reflect the practical dynamic characteristics of the heat collection system. Second, a one-dimensional model of the single-tank heat storage system with solid filling materials is established according to the energy and mass conservation laws, and compared with the zero dimensional model. The effects of porosity, filling materials and other key factors on the single-tank thermocline are analyzed and compared, showing that the model can predict the temperature change, thermal stratification and other properties of the thermocline with sufficient accuracy. The model provides a theoretical basis for the optimal design of concentrating solar power generation system.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129114198","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 : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030112
W. Cao, Deman Zhai, Junli Zhang, Haiwei Sha, Zhenquan Wang, Q. Han
Hydrogen energy storage integrated energy system (IES) can achieve large-scale conversion of renewable energy through electrolysis hydrogen production, and obtain considerable carbon emission reduction benefits through the application of fuel cell technology. However, the performance of traditional single fuel cell system is limited by the operating characteristics of fuel cells. In this paper, a dual-fuel cells hydrogen energy storage integrated energy system combining SOFC and PEMFC was proposed to leverage the complementary advantages of the two fuel cells. In order to ensure the coordinated operation of all the devices, with economy as the goal, the capacity of devices in the system, especially the hydrogen energy storage unit and two kinds of fuel cells, was optimized by considering the annual investment cost, operation and maintenance cost, energy purchase cost and carbon emission cost. The results of case study showed that there was an optimal capacity configuration for dual-fuel cells, which was more economical than the two fuel cells alone. Finally, through sensitivity analysis, the key factors affecting the optimal configuration of hydrogen energy storage unit and dual-fuel cells were pointed out. In dual-fuel cells system, the capacity of hydrogen storage unit and SOFC increased with the increase of electricity price and decreased with the increase of natural gas price, while the capacity of PEMFC configuration was less affected by the purchase price. At the same time, the installed capacity of renewable energy would significantly increase the configured capacity of hydrogen energy storage units, and the capacity change trend for PEMFC and SOFC was opposite.
{"title":"Study on Optimal Configuration of Hydrogen Energy Storage IES with Dual-fuel Cells","authors":"W. Cao, Deman Zhai, Junli Zhang, Haiwei Sha, Zhenquan Wang, Q. Han","doi":"10.1109/CEECT55960.2022.10030112","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030112","url":null,"abstract":"Hydrogen energy storage integrated energy system (IES) can achieve large-scale conversion of renewable energy through electrolysis hydrogen production, and obtain considerable carbon emission reduction benefits through the application of fuel cell technology. However, the performance of traditional single fuel cell system is limited by the operating characteristics of fuel cells. In this paper, a dual-fuel cells hydrogen energy storage integrated energy system combining SOFC and PEMFC was proposed to leverage the complementary advantages of the two fuel cells. In order to ensure the coordinated operation of all the devices, with economy as the goal, the capacity of devices in the system, especially the hydrogen energy storage unit and two kinds of fuel cells, was optimized by considering the annual investment cost, operation and maintenance cost, energy purchase cost and carbon emission cost. The results of case study showed that there was an optimal capacity configuration for dual-fuel cells, which was more economical than the two fuel cells alone. Finally, through sensitivity analysis, the key factors affecting the optimal configuration of hydrogen energy storage unit and dual-fuel cells were pointed out. In dual-fuel cells system, the capacity of hydrogen storage unit and SOFC increased with the increase of electricity price and decreased with the increase of natural gas price, while the capacity of PEMFC configuration was less affected by the purchase price. At the same time, the installed capacity of renewable energy would significantly increase the configured capacity of hydrogen energy storage units, and the capacity change trend for PEMFC and SOFC was opposite.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116345038","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}
Nowadays Frequency domain reflection (FDR) method are widely used to diagnose the power cable defects and faults. However, in FDR tests, the unmatched impedance can be caused by the signal connection wire between the FDR analyzer and the power cable, and leads to a large signal reflection and defect misdiagnosing. Thus, in this work, a virtual impedance matching method for the FDR-based cable defect location is proposed to alleviated the negative impact of the signal connection wire. First, the transmission line model of the power cable is established, and the idea of the FDR method is introduced. Second, the reason causing the unmatched impedance is analyzed, and a reflection coefficient extraction method and the characteristic impedance estimation method are proposed to gain the front-end reflection coefficient and the impedance of the signal connection wire. Then, the impedance of the signal connection wire is eliminated from the front-end reflection coefficient spectrum. Thus, the negative impact of the signal connection wire is also alleviated, and a virtual impedance matching is achieved. At last, both a 50 m SYV50-5-1 type coaxial signal cable and a 500 m 10 kV XLPE power cable are used in the experiment to show the performance of the proposed method. The experiment results show that with the proposed virtual impedance matching method, the front-end reflection is almost eliminated, and the cable defect can be easy recognized.
{"title":"A Virtual Impedance Matching Method for the FDR-Based Cable Defect Location","authors":"Guangbin Chu, Wei Bai, Dengfeng Ju, Hongzhou Zhang, Quanlei Qu, Zhenyu Guo, Zhongying Liang","doi":"10.1109/CEECT55960.2022.10030712","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030712","url":null,"abstract":"Nowadays Frequency domain reflection (FDR) method are widely used to diagnose the power cable defects and faults. However, in FDR tests, the unmatched impedance can be caused by the signal connection wire between the FDR analyzer and the power cable, and leads to a large signal reflection and defect misdiagnosing. Thus, in this work, a virtual impedance matching method for the FDR-based cable defect location is proposed to alleviated the negative impact of the signal connection wire. First, the transmission line model of the power cable is established, and the idea of the FDR method is introduced. Second, the reason causing the unmatched impedance is analyzed, and a reflection coefficient extraction method and the characteristic impedance estimation method are proposed to gain the front-end reflection coefficient and the impedance of the signal connection wire. Then, the impedance of the signal connection wire is eliminated from the front-end reflection coefficient spectrum. Thus, the negative impact of the signal connection wire is also alleviated, and a virtual impedance matching is achieved. At last, both a 50 m SYV50-5-1 type coaxial signal cable and a 500 m 10 kV XLPE power cable are used in the experiment to show the performance of the proposed method. The experiment results show that with the proposed virtual impedance matching method, the front-end reflection is almost eliminated, and the cable defect can be easy recognized.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115301483","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}
Pollution degree not only affects the lifespan of insulators, but also plays an important role in the operation of transmission lines. Current detection methods are usually conducted offline, which cannot provide a timely reference for monitoring and maintenance. To address this issue, an insulator online detection system is designed in this paper. Considering the problems of optimization difficulty, over-fitting and low accuracy, a novel hybrid model is proposed to classify the insulator pollution degree based on crisscross optimization algorithm (CSO) and blending ensemble learning. First, two key features, i.e., humidity and leakage current, are extracted. Second, since the hyperparameters of the random forest directly influence the prediction accuracy, the CSO algorithm is employed to dynamically optimize these key parameters. On this basis, a blending ensemble learning algorithm is applied to establish the hybrid model by integrating random forest and XGBoost. Experimental results show that the proposed hybrid model can effectively classify the pollution degree of insulators.
{"title":"An insulator pollution degree detection method based on crisscross optimization algorithm with blending ensemble learning","authors":"Jianfeng Zhang, Huikang Wen, Hongxing Wang, Guoxin Zhang, Huiting Wen, Huayang Jiang, Jiayu Rong","doi":"10.1109/CEECT55960.2022.10030659","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030659","url":null,"abstract":"Pollution degree not only affects the lifespan of insulators, but also plays an important role in the operation of transmission lines. Current detection methods are usually conducted offline, which cannot provide a timely reference for monitoring and maintenance. To address this issue, an insulator online detection system is designed in this paper. Considering the problems of optimization difficulty, over-fitting and low accuracy, a novel hybrid model is proposed to classify the insulator pollution degree based on crisscross optimization algorithm (CSO) and blending ensemble learning. First, two key features, i.e., humidity and leakage current, are extracted. Second, since the hyperparameters of the random forest directly influence the prediction accuracy, the CSO algorithm is employed to dynamically optimize these key parameters. On this basis, a blending ensemble learning algorithm is applied to establish the hybrid model by integrating random forest and XGBoost. Experimental results show that the proposed hybrid model can effectively classify the pollution degree of insulators.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126998871","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 : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030706
Yingtian He, Yi Guo
The fault reconstruction of ship medium voltage direct current(MVDC) power system is essentially a multi-objective multi-constrained nonlinear combinatorial optimization problem. A multi-objective fault reconstruction model of the MVDC power system of a ship is established with load recovery amount, number of switching operations and generator equalization efficiency as the objective functions for the ship's MVDC power system faults. A simulated annealing binary particle swarm algorithm is proposed to solve the fault location and reconstruction problem of the ship MVDC power system, and the adaptive weight method is introduced to balance the global search capability; the roulette selection method is introduced to optimize the selection of the adaptation degree value. The results of the test cases show that the proposed method has a high search effect and optimal search capability, and can obtain the reconfiguration scheme of the ship MVDC power system in a short time, which reflects a good optimization performance.
{"title":"Fault Reconstruction of Medium Voltage DC Power System in Ships Based on Simulated Annealing Particle Swarm Algorithm","authors":"Yingtian He, Yi Guo","doi":"10.1109/CEECT55960.2022.10030706","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030706","url":null,"abstract":"The fault reconstruction of ship medium voltage direct current(MVDC) power system is essentially a multi-objective multi-constrained nonlinear combinatorial optimization problem. A multi-objective fault reconstruction model of the MVDC power system of a ship is established with load recovery amount, number of switching operations and generator equalization efficiency as the objective functions for the ship's MVDC power system faults. A simulated annealing binary particle swarm algorithm is proposed to solve the fault location and reconstruction problem of the ship MVDC power system, and the adaptive weight method is introduced to balance the global search capability; the roulette selection method is introduced to optimize the selection of the adaptation degree value. The results of the test cases show that the proposed method has a high search effect and optimal search capability, and can obtain the reconfiguration scheme of the ship MVDC power system in a short time, which reflects a good optimization performance.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126516548","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 : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030178
Sirui Tang, Ting Li, Yunche Su, Yunling Wang, Fang Liu, Haoyu Liu
Component-based load modelling has been widely studied. However, extensive investigations on the consumers, their load devices and their load pattern are needed to determine the substation-wise load composition, which makes it challenging for practical application. In this paper, an integrated data-driven approach is proposed for identification of substation-wise load composition. Firstly, templates of daily load profiles are extracted by semi-supervised clustering. With these load templates, the substation-wise load composition is estimated by using step-wise regression. By fitting the aggregated daily load profile of the substation, the percentage of different kinds of loads, such as industrial load, commercial load and residential load, can be estimated without the need of extensive investigation. Numerical results on practical load data are presented to demonstrate the effectiveness of the proposed approach.
{"title":"Substation-wise Load Composition Identification Based on Step-wise Regression with Load Templates","authors":"Sirui Tang, Ting Li, Yunche Su, Yunling Wang, Fang Liu, Haoyu Liu","doi":"10.1109/CEECT55960.2022.10030178","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030178","url":null,"abstract":"Component-based load modelling has been widely studied. However, extensive investigations on the consumers, their load devices and their load pattern are needed to determine the substation-wise load composition, which makes it challenging for practical application. In this paper, an integrated data-driven approach is proposed for identification of substation-wise load composition. Firstly, templates of daily load profiles are extracted by semi-supervised clustering. With these load templates, the substation-wise load composition is estimated by using step-wise regression. By fitting the aggregated daily load profile of the substation, the percentage of different kinds of loads, such as industrial load, commercial load and residential load, can be estimated without the need of extensive investigation. Numerical results on practical load data are presented to demonstrate the effectiveness of the proposed approach.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123525617","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 : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030616
Yixuan Huang, Shengjuan Chen, Xiao Tan, Ming Hu, Chunqiang Zhang
Aiming at the problems of low accuracy, long time and large error of traditional distributed photovoltaics (D-PV) power prediction methods, a power prediction method of D-PV digital twin system based on GA-BP-NN is proposed. Firstly, by analyzing the basic principles and key features of the power system digital twin system, the digital twin structure system of the photovoltaic power generation power prediction system is constructed. Then, through the quantitative analysis of photovoltaic output fluctuation and photovoltaic operating status, a photovoltaic power generation power prediction model is built in the digital twin system based on the GA-BP-NN algorithm. Finally, the proposed D-PV power prediction method and the other two methods are compared and analyzed under the same conditions through simulation experiments. The results show that the power prediction accuracy and time consumption of the method proposed in this paper are the best in three different meteorological environments, the highest accuracy is 95.24%, and the minimum time consumption is 6.53s, and the algorithm performance is better than the other three comparisons algorithm.
{"title":"Power Prediction Method of Distributed Photovoltaic Digital Twin System Based on GA-BP","authors":"Yixuan Huang, Shengjuan Chen, Xiao Tan, Ming Hu, Chunqiang Zhang","doi":"10.1109/CEECT55960.2022.10030616","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030616","url":null,"abstract":"Aiming at the problems of low accuracy, long time and large error of traditional distributed photovoltaics (D-PV) power prediction methods, a power prediction method of D-PV digital twin system based on GA-BP-NN is proposed. Firstly, by analyzing the basic principles and key features of the power system digital twin system, the digital twin structure system of the photovoltaic power generation power prediction system is constructed. Then, through the quantitative analysis of photovoltaic output fluctuation and photovoltaic operating status, a photovoltaic power generation power prediction model is built in the digital twin system based on the GA-BP-NN algorithm. Finally, the proposed D-PV power prediction method and the other two methods are compared and analyzed under the same conditions through simulation experiments. The results show that the power prediction accuracy and time consumption of the method proposed in this paper are the best in three different meteorological environments, the highest accuracy is 95.24%, and the minimum time consumption is 6.53s, and the algorithm performance is better than the other three comparisons algorithm.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123715625","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 : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030645
Dongmei Yang, Gang Liu, Qi Wang, J. Ju
The research on the market transaction mechanism of the multi-microgrid integrated energy system will help promote new energy consumption and a low-carbon economy. A weakly-centralized transaction strategy for a multi-microgrid integrated energy system is proposed. First, a weakly-centralized transaction mechanism for multi-microgrid integrated energy markets is proposed under a two-layer operation framework. Second, the multi-microgrid integrated energy market subject operation optimization model, bidding model, and market clearing model under this transaction mechanism are constructed. Further, the ADMM (Alternating Direction Method of Multipliers) algorithm is used to solve the proposed market energy optimization model. The proposed strategy takes into account the characteristics of decentralized decision-making and free competition in the energy market, and the privacy of each transaction entity is further guaranteed. Finally, the effectiveness of the proposed strategy is verified by examples.
{"title":"Weakly-centralized Transaction Strategy of Multi-microgrid Integrated Energy System from the Perspective of Energy Market","authors":"Dongmei Yang, Gang Liu, Qi Wang, J. Ju","doi":"10.1109/CEECT55960.2022.10030645","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030645","url":null,"abstract":"The research on the market transaction mechanism of the multi-microgrid integrated energy system will help promote new energy consumption and a low-carbon economy. A weakly-centralized transaction strategy for a multi-microgrid integrated energy system is proposed. First, a weakly-centralized transaction mechanism for multi-microgrid integrated energy markets is proposed under a two-layer operation framework. Second, the multi-microgrid integrated energy market subject operation optimization model, bidding model, and market clearing model under this transaction mechanism are constructed. Further, the ADMM (Alternating Direction Method of Multipliers) algorithm is used to solve the proposed market energy optimization model. The proposed strategy takes into account the characteristics of decentralized decision-making and free competition in the energy market, and the privacy of each transaction entity is further guaranteed. Finally, the effectiveness of the proposed strategy is verified by examples.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130513872","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}
Oil-paper insulation structure is the main part of the insulation system of oil immersed power transformer, which is prone to partial discharge due to aging, moisture and other factors. In order to study the development process and evolution characteristics of discharge, and explore its influencing factors and mechanism, this paper built an oil-paper insulation discharge test observation platform, obtained discharge images through the high-speed camera, and analyzed the area, perimeter, and displacement changes of streamers during the development of discharge. The results show that the overall trend of streamer area and perimeter is to increase first and then decrease, and rise with the increase of needle plate gap within a certain range. During the discharge process, the streamer basically develops along the axial direction from the needle tip to the paperboard, extending randomly to the left and right sides, with the largest mid-term offset. The thickening of the paperboard will increase the lateral tilt probability of the streamer. The above research results can provide theoretical guidance for the design, manufacture, maintenance and operation of transformers.
{"title":"Research on Morphological Characteristics of Partial Discharge in Oil-paper Insulation Based on Image","authors":"Luyao Liu, Qizhao Zhang, Yifan Wang, Hongbin Wu, Haoxi Cong, Hongshun Liu","doi":"10.1109/CEECT55960.2022.10030566","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030566","url":null,"abstract":"Oil-paper insulation structure is the main part of the insulation system of oil immersed power transformer, which is prone to partial discharge due to aging, moisture and other factors. In order to study the development process and evolution characteristics of discharge, and explore its influencing factors and mechanism, this paper built an oil-paper insulation discharge test observation platform, obtained discharge images through the high-speed camera, and analyzed the area, perimeter, and displacement changes of streamers during the development of discharge. The results show that the overall trend of streamer area and perimeter is to increase first and then decrease, and rise with the increase of needle plate gap within a certain range. During the discharge process, the streamer basically develops along the axial direction from the needle tip to the paperboard, extending randomly to the left and right sides, with the largest mid-term offset. The thickening of the paperboard will increase the lateral tilt probability of the streamer. The above research results can provide theoretical guidance for the design, manufacture, maintenance and operation of transformers.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"435 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132452678","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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