Pub Date : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082282
Zesen Wang, Qi Li, Kai Bai, Jinzhi Guo, Zhe Wang, Yinglin Liu
China's renewable energy development bases are mainly concentrated in the "Three North" areas. The phenomenon of renewable energy power abandonment is serious. As a flexible resource, energy storage can effectively shift electricity and improve the utilization of renewable energy. Firstly, the output model of electric energy storage equipment is established. Secondly, a time series production simulation optimization model considering the output characteristics of electric energy storage equipment is constructed. Finally, taking an actual large-scale renewable energy and thermal power transmission system in the north through UHV AC / DC lines as an example, the system operation, renewable energy consumption, economy and other issues after energy storage access are quantitatively analyzed. The results show that the reasonable allocation of energy storage is conducive to improving the consumption capacity of renewable energy, reducing the utilization hours of thermal power, and improving the economy of system operation. It is of great significance to the development of renewable energy power system and energy storage equipment.
{"title":"Renewable Energy Consumption and Economic Analysis of Renewable Energy and Thermal Power Combined Transmission System Considering Electric Energy Storage Configuration","authors":"Zesen Wang, Qi Li, Kai Bai, Jinzhi Guo, Zhe Wang, Yinglin Liu","doi":"10.1109/SPIES55999.2022.10082282","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082282","url":null,"abstract":"China's renewable energy development bases are mainly concentrated in the \"Three North\" areas. The phenomenon of renewable energy power abandonment is serious. As a flexible resource, energy storage can effectively shift electricity and improve the utilization of renewable energy. Firstly, the output model of electric energy storage equipment is established. Secondly, a time series production simulation optimization model considering the output characteristics of electric energy storage equipment is constructed. Finally, taking an actual large-scale renewable energy and thermal power transmission system in the north through UHV AC / DC lines as an example, the system operation, renewable energy consumption, economy and other issues after energy storage access are quantitatively analyzed. The results show that the reasonable allocation of energy storage is conducive to improving the consumption capacity of renewable energy, reducing the utilization hours of thermal power, and improving the economy of system operation. It is of great significance to the development of renewable energy power system and energy storage equipment.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132840442","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082249
Bozhen Jiang, Yi Liu, H. Geng, Huarong Zeng, Jiangqiao Ding
Short-term Load Forecasting (STLF) is important for the operational security and economics of power system. However, the existing Short-term Load Forecasting Models (SLFMs) generally consider the temporal dependency as static. Meanwhile, the load characteristics of periodic soft alignment and planed are ignored. Those neglect limits the STLF accuracy. In this paper, a Transformer based Short-term Load Forecasting Model (TSLFM) considering dynamic temporal dependency, periodic soft alignment and future information was proposed. Based on the encoder-decoder structure, TSLFM can be easily modified to satisfy different forecast ranges. Besides, the attention mechanism is employed in Transformer, TSLFM can capture the dynamic temporal dependency and realize periodic soft alignment. Additionally, TSLFM expands the attention range to combine historical and future information to infer the planed load. The results from two empirical studies in Switzerland and China suggest that: 1) TSLFM has good forecast performance (the maximum improvement of MAPE is 15.78% and 14.07%, and the minimum improvement is 8.49%, 8.99%, respectively) and can satisfy the high requirements for STLF, and 2) the attention maps further verify that TSLFM can consider dynamic temporal dependency, periodic soft alignment and future information.
{"title":"A Transformer Based Method with Wide Attention Range for Enhanced Short-term Load Forecasting","authors":"Bozhen Jiang, Yi Liu, H. Geng, Huarong Zeng, Jiangqiao Ding","doi":"10.1109/SPIES55999.2022.10082249","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082249","url":null,"abstract":"Short-term Load Forecasting (STLF) is important for the operational security and economics of power system. However, the existing Short-term Load Forecasting Models (SLFMs) generally consider the temporal dependency as static. Meanwhile, the load characteristics of periodic soft alignment and planed are ignored. Those neglect limits the STLF accuracy. In this paper, a Transformer based Short-term Load Forecasting Model (TSLFM) considering dynamic temporal dependency, periodic soft alignment and future information was proposed. Based on the encoder-decoder structure, TSLFM can be easily modified to satisfy different forecast ranges. Besides, the attention mechanism is employed in Transformer, TSLFM can capture the dynamic temporal dependency and realize periodic soft alignment. Additionally, TSLFM expands the attention range to combine historical and future information to infer the planed load. The results from two empirical studies in Switzerland and China suggest that: 1) TSLFM has good forecast performance (the maximum improvement of MAPE is 15.78% and 14.07%, and the minimum improvement is 8.49%, 8.99%, respectively) and can satisfy the high requirements for STLF, and 2) the attention maps further verify that TSLFM can consider dynamic temporal dependency, periodic soft alignment and future information.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133758886","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082572
Yuanzhe Ren, Hua Lin, Shaojie Li, Xingwei Wang
In LCL-type grid-connected inverter system, the resonance frequency will shift down and cross 1/6 of the sampling frequency due to the variation of grid impedance in weak grid, which will lead to instability. To enhance the robustness, an improved stability region based LCL filter design which adds a restriction on the lowest resonance frequency can be introduced. In this paper the influence of this restriction on the filter parameters have been studied and the results shows that the influence is greater under higher switching frequency. However, it is proved that the restriction will only lead to a limited total inductance increment. Therefore, the robustness enhanced filter design is proved to be of great practical value. At last, the analytical results are verified through experiments and simulations.
{"title":"Analysis of Robustness Enhanced LCL Filter Design Based on Stability Region","authors":"Yuanzhe Ren, Hua Lin, Shaojie Li, Xingwei Wang","doi":"10.1109/SPIES55999.2022.10082572","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082572","url":null,"abstract":"In LCL-type grid-connected inverter system, the resonance frequency will shift down and cross 1/6 of the sampling frequency due to the variation of grid impedance in weak grid, which will lead to instability. To enhance the robustness, an improved stability region based LCL filter design which adds a restriction on the lowest resonance frequency can be introduced. In this paper the influence of this restriction on the filter parameters have been studied and the results shows that the influence is greater under higher switching frequency. However, it is proved that the restriction will only lead to a limited total inductance increment. Therefore, the robustness enhanced filter design is proved to be of great practical value. At last, the analytical results are verified through experiments and simulations.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132234215","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082185
Ruijin Liang, M. Dong, Li Wang, Chenyao Xu, Wenrui Yan
This paper proposes a general learning framework to derive topology of power electronics converters. To increase flexibility, a circuit is represented by a graph. A Graph Neural Network extract features of the circuit graph, which is further used in the RL framework. The topology derivation process is regarded as a Markov Decision Process. In each step, the RL agent selects and connects a new block to the initial block until a complete topology is made. To ensure that the derived circuits are feasible, basic circuit constraints are taken into consideration in the reward function. By using this framework, many new six-port, eight-port and ten-port converters are derived. Simulation results show that the derived circuits satisfy given constraints well.
{"title":"Learning to Topology Derivation of Power Electronics Converters with Graph Neural Network","authors":"Ruijin Liang, M. Dong, Li Wang, Chenyao Xu, Wenrui Yan","doi":"10.1109/SPIES55999.2022.10082185","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082185","url":null,"abstract":"This paper proposes a general learning framework to derive topology of power electronics converters. To increase flexibility, a circuit is represented by a graph. A Graph Neural Network extract features of the circuit graph, which is further used in the RL framework. The topology derivation process is regarded as a Markov Decision Process. In each step, the RL agent selects and connects a new block to the initial block until a complete topology is made. To ensure that the derived circuits are feasible, basic circuit constraints are taken into consideration in the reward function. By using this framework, many new six-port, eight-port and ten-port converters are derived. Simulation results show that the derived circuits satisfy given constraints well.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134378605","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082593
Nan Wang, Hao Bai, Ruiqing Ma, Gang Huang
Real-time simulation technology plays an important role in the development cycle of a permanent magnet synchronous motor (PMSM) control system. In this paper, an FPGA-based real-time simulation method is proposed for a five-phase permanent magnet synchronous motor (FPMSM). The mathematical model and its FPGA implementation are presented in detail. Moreover, to verify the accuracy of the model, the FPGA-based simulation results are compared with that of the FPMSM model in the Simulink Simscape Power System (SPS) library, and very good consistency is obtained. Finally, the dual-loop controller is implemented on FPGA and the real-time experiments of FPMSM control under various conditions are conducted to validate the effectiveness of the proposed FPGA real-time simulation method.
实时仿真技术在永磁同步电机控制系统的开发周期中起着重要的作用。本文提出了一种基于fpga的五相永磁同步电动机实时仿真方法。详细介绍了该系统的数学模型及其FPGA实现。此外，为了验证模型的准确性，将基于fpga的仿真结果与Simulink Simscape Power System (SPS)库中的FPMSM模型进行了比较，得到了很好的一致性。最后，在FPGA上实现了双环控制器，并在各种条件下对FPMSM进行了实时控制实验，验证了所提出的FPGA实时仿真方法的有效性。
{"title":"FPGA-based Real-Time Simulation of Five-Phase PMSM for the HIL Applications","authors":"Nan Wang, Hao Bai, Ruiqing Ma, Gang Huang","doi":"10.1109/SPIES55999.2022.10082593","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082593","url":null,"abstract":"Real-time simulation technology plays an important role in the development cycle of a permanent magnet synchronous motor (PMSM) control system. In this paper, an FPGA-based real-time simulation method is proposed for a five-phase permanent magnet synchronous motor (FPMSM). The mathematical model and its FPGA implementation are presented in detail. Moreover, to verify the accuracy of the model, the FPGA-based simulation results are compared with that of the FPMSM model in the Simulink Simscape Power System (SPS) library, and very good consistency is obtained. Finally, the dual-loop controller is implemented on FPGA and the real-time experiments of FPMSM control under various conditions are conducted to validate the effectiveness of the proposed FPGA real-time simulation method.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133050438","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10081992
Jiateng Li, Ji Qiao, Zixuan Zhao, Xiaohui Wang, Mengjie Shi
Compared with the transmission grid, the distribution grid has the characteristics of huge node scale, sparse measuring equipment and three-phase load imbalance. The parameter identification methods for the transmission grid might not suitable to the distribution network. In this paper, a two-stage model-data-combined identification approach for distribution grid line parameter is proposed. First, the linear initial identification model of line parameters is constructed based on the phase angle assumption, which is solved by the least square method. On the second stage, the refined identification model is developed based on the trust region reflection method which uses the initial values provided by the first stage. Meanwhile, the voltage phase angle is recovered. Finally, IEEE 33-bus and 74-bus distribution grid is utilized to verify the proposed method.
{"title":"A Model-Data-Combined Identification Approach for Distribution Grid Line Parameter","authors":"Jiateng Li, Ji Qiao, Zixuan Zhao, Xiaohui Wang, Mengjie Shi","doi":"10.1109/SPIES55999.2022.10081992","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10081992","url":null,"abstract":"Compared with the transmission grid, the distribution grid has the characteristics of huge node scale, sparse measuring equipment and three-phase load imbalance. The parameter identification methods for the transmission grid might not suitable to the distribution network. In this paper, a two-stage model-data-combined identification approach for distribution grid line parameter is proposed. First, the linear initial identification model of line parameters is constructed based on the phase angle assumption, which is solved by the least square method. On the second stage, the refined identification model is developed based on the trust region reflection method which uses the initial values provided by the first stage. Meanwhile, the voltage phase angle is recovered. Finally, IEEE 33-bus and 74-bus distribution grid is utilized to verify the proposed method.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115189574","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082402
Jun Guo, Man Hu, Zhongyang Xu, Wanshu Guo, Min Li, Yibo Wang
With the advent of the era of big data, the equipment information data of power grid enterprises has become the core asset of the enterprise. At present, the equipment information data of power grid enterprises has not yet established a standard management process and a unified data model. It is even more impossible to obtain, process and use equipment information data in a timely manner, which affects the real-time decision analysis and cross-department collaboration of power grid staff, and becomes a bottleneck for development. Therefore, the establishment of a stable, efficient and intelligent smart grid data interconnection platform has become the top priority of equipment, data and information management of power grid enterprise. Also, it is a scientific path to realize the collaborative innovation of enterprise technology and management.
{"title":"Smart Grid Data Mobile Interconnection Construction Plan","authors":"Jun Guo, Man Hu, Zhongyang Xu, Wanshu Guo, Min Li, Yibo Wang","doi":"10.1109/SPIES55999.2022.10082402","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082402","url":null,"abstract":"With the advent of the era of big data, the equipment information data of power grid enterprises has become the core asset of the enterprise. At present, the equipment information data of power grid enterprises has not yet established a standard management process and a unified data model. It is even more impossible to obtain, process and use equipment information data in a timely manner, which affects the real-time decision analysis and cross-department collaboration of power grid staff, and becomes a bottleneck for development. Therefore, the establishment of a stable, efficient and intelligent smart grid data interconnection platform has become the top priority of equipment, data and information management of power grid enterprise. Also, it is a scientific path to realize the collaborative innovation of enterprise technology and management.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115712907","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10081976
Yue Ma, Xiaoming Dong, Xue Yang, Z. Liu, XueYong Jia, Hongwen Sun
The rapid growth of renewable energy integration and power load exacerbates the uncertainty of power flow, thereby threatening the security of distribution network, and causing difficult regulation. The increase in DC application makes rapid development of AC/DC power distribution network, which operates with preferable flexibility. Accordingly, this study proposes a robust optimization model based on the relaxation evolution algorithm. Firstly, the formulations of AC/DC distribution network model, which is in terms of second-order cone programming, are derived. Accordingly, a robust reactive power optimization model is established with the objective function for minimizing the power loss and voltage offset of AC/DC distribution network. Furthermore, a co-evolution algorithm based on the relaxation method is proposed to solve this model. Case studies based on the improved IEEE33 bus system were conducted in simulation. The robust optimization model is demonstrated to effectively locating and treating the worst case of renewable energy operation.
{"title":"Robust Optimization Model of AC/DC Hybrid Distribution Network Considering Renewable Energy Uncertainty","authors":"Yue Ma, Xiaoming Dong, Xue Yang, Z. Liu, XueYong Jia, Hongwen Sun","doi":"10.1109/SPIES55999.2022.10081976","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10081976","url":null,"abstract":"The rapid growth of renewable energy integration and power load exacerbates the uncertainty of power flow, thereby threatening the security of distribution network, and causing difficult regulation. The increase in DC application makes rapid development of AC/DC power distribution network, which operates with preferable flexibility. Accordingly, this study proposes a robust optimization model based on the relaxation evolution algorithm. Firstly, the formulations of AC/DC distribution network model, which is in terms of second-order cone programming, are derived. Accordingly, a robust reactive power optimization model is established with the objective function for minimizing the power loss and voltage offset of AC/DC distribution network. Furthermore, a co-evolution algorithm based on the relaxation method is proposed to solve this model. Case studies based on the improved IEEE33 bus system were conducted in simulation. The robust optimization model is demonstrated to effectively locating and treating the worst case of renewable energy operation.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117142911","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082541
Guohua Yue, Jingxuan He, Y. Gan, De-mao Gu, Z. Du
When the traditional tower circle method is used to calculate the lightning parameters of transmission lines, because the radius of the tower circle is far greater than the span, there will be many overlapping areas. The lightning parameters in the overlap areas will be calculated many times, it will not only increase the calculation amount, but also lead to inaccurate results. In this paper, a new statistical method for lightning parameters of transmission lines is proposed. The line corridors are divided into block rectangles of equal size, which are close to each other as much as possible to reduce the impact of overlap. Taking the 500kV Xianmeng I transmission line as an example, the lightning density of each tower is calculated by block method and the lightning risk assessment is carried out. Compared with the traditional method, the results of the block method can better reflect the lightning parameter characteristics of the local tower.
{"title":"Statistics for Lightning Parameters of Transmission Lines Based on Tower Block Method","authors":"Guohua Yue, Jingxuan He, Y. Gan, De-mao Gu, Z. Du","doi":"10.1109/SPIES55999.2022.10082541","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082541","url":null,"abstract":"When the traditional tower circle method is used to calculate the lightning parameters of transmission lines, because the radius of the tower circle is far greater than the span, there will be many overlapping areas. The lightning parameters in the overlap areas will be calculated many times, it will not only increase the calculation amount, but also lead to inaccurate results. In this paper, a new statistical method for lightning parameters of transmission lines is proposed. The line corridors are divided into block rectangles of equal size, which are close to each other as much as possible to reduce the impact of overlap. Taking the 500kV Xianmeng I transmission line as an example, the lightning density of each tower is calculated by block method and the lightning risk assessment is carried out. Compared with the traditional method, the results of the block method can better reflect the lightning parameter characteristics of the local tower.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117158183","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 : 2022-12-09DOI: 10.1109/SPIES55999.2022.10082694
Hao Jiao, Jinming Chen, Xindong Zhao, Yajuan Guo, Yezhou Yang
With the access of distributed new energy sources and loads, the coupling relationship between the transmission and the distribution network is greatly enhanced. In order to adapt to the increasing coupling relationship between transmission and distribution, this paper proposes a generalized global optimization model for transmission and distribution. Considering the carbon reduction requirements of the power industry in the context of carbon peak and carbon neutral, the coordinated transmission and distribution optimal power flow (TDOPF) model with carbon emission constraints is proposed. Based on the different characteristics of the transmission and distribution network, the heterogeneous decomposition algorithm is used to solve the optimization model. The transmission and distribution network is alternately optimized. The auxiliary function is constructed by parameters such as boundary node voltage and injection power to ensure that the optimal conditions of the global network are satisfied. The numerical example test shows the proposed algorithm has great accuracy and convergence.
{"title":"Coordinated Transmission and Distribution Optimal Power Flow with Carbon Constraints","authors":"Hao Jiao, Jinming Chen, Xindong Zhao, Yajuan Guo, Yezhou Yang","doi":"10.1109/SPIES55999.2022.10082694","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10082694","url":null,"abstract":"With the access of distributed new energy sources and loads, the coupling relationship between the transmission and the distribution network is greatly enhanced. In order to adapt to the increasing coupling relationship between transmission and distribution, this paper proposes a generalized global optimization model for transmission and distribution. Considering the carbon reduction requirements of the power industry in the context of carbon peak and carbon neutral, the coordinated transmission and distribution optimal power flow (TDOPF) model with carbon emission constraints is proposed. Based on the different characteristics of the transmission and distribution network, the heterogeneous decomposition algorithm is used to solve the optimization model. The transmission and distribution network is alternately optimized. The auxiliary function is constructed by parameters such as boundary node voltage and injection power to ensure that the optimal conditions of the global network are satisfied. The numerical example test shows the proposed algorithm has great accuracy and convergence.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115822463","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：