Under the background of realizing the goal of "double carbon" and large-scale access of new energy, the allocation of energy storage on the new energy side is imperative, and the allocation problem of energy storage in the power system is becoming more and more prominent. In order to reasonably allocate energy storage, this paper takes the safe and stable operation of power grid and the development of renewable energy as the demand goal, and puts forward the analysis method and process of power grid energy storage allocation for unified dispatching control, Beijing power grid is selected to analyze the energy storage configuration demand in 2023, the startup timing of conventional power units and the utilization rate of new energy. The optimal configuration scheme can be obtained by comparing and analyzing the economy of different schemes, so as to provide reference and support for the analysis and calculation of energy storage configuration of power system.
{"title":"Configuration Method of Energy Storage System for Unified Dispatching Control of Power Grid","authors":"Haiyun Wang, Yuxuan Zhang, Zaichi Zhang, Qian Chen, Liping Yang, P. Xu","doi":"10.1109/CEEPE55110.2022.9783123","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783123","url":null,"abstract":"Under the background of realizing the goal of \"double carbon\" and large-scale access of new energy, the allocation of energy storage on the new energy side is imperative, and the allocation problem of energy storage in the power system is becoming more and more prominent. In order to reasonably allocate energy storage, this paper takes the safe and stable operation of power grid and the development of renewable energy as the demand goal, and puts forward the analysis method and process of power grid energy storage allocation for unified dispatching control, Beijing power grid is selected to analyze the energy storage configuration demand in 2023, the startup timing of conventional power units and the utilization rate of new energy. The optimal configuration scheme can be obtained by comparing and analyzing the economy of different schemes, so as to provide reference and support for the analysis and calculation of energy storage configuration of power system.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125600215","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783362
Chinges Tserensambuu, Qingmin Li, Jiyao Zhao
In this paper, we presented real wind turbine model using the circuit simulator PSCAD/EMTDC to investigate the lightning transient grounding potential rise generating in wind turbine/kiosk earthing system and electrical devices under the different grounding cases. The influence of lightning current waveshape and grounding characteristics on the wind turbine lightning overvoltage have been conducted. The simulation result shows that the probable of peak current with 31 kA could produce 350 kV potential rise in case of Rt = 9.3 Ω and Rk = 1.5 Ω. In case of Rt = 2.3 Ω and Rk = 2.3 Ω, the potential rise on the main grounding bus bar is possible to reduce 170 kV, transient voltage on the low voltage terminal of power transformer reduced to approximately 40%. Double peaked waveshape gives oscillation compare with standard 2.6/50 μs waveform. Moreover, the grounding cable(PE) has shown negative impact during the lightning transient phenomena.
{"title":"Simulation Study of Lightning Transient Overvoltage on Wind Turbine in Mongolia under Different Grounding Cases","authors":"Chinges Tserensambuu, Qingmin Li, Jiyao Zhao","doi":"10.1109/CEEPE55110.2022.9783362","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783362","url":null,"abstract":"In this paper, we presented real wind turbine model using the circuit simulator PSCAD/EMTDC to investigate the lightning transient grounding potential rise generating in wind turbine/kiosk earthing system and electrical devices under the different grounding cases. The influence of lightning current waveshape and grounding characteristics on the wind turbine lightning overvoltage have been conducted. The simulation result shows that the probable of peak current with 31 kA could produce 350 kV potential rise in case of Rt = 9.3 Ω and Rk = 1.5 Ω. In case of Rt = 2.3 Ω and Rk = 2.3 Ω, the potential rise on the main grounding bus bar is possible to reduce 170 kV, transient voltage on the low voltage terminal of power transformer reduced to approximately 40%. Double peaked waveshape gives oscillation compare with standard 2.6/50 μs waveform. Moreover, the grounding cable(PE) has shown negative impact during the lightning transient phenomena.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123388893","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783338
Wensheng Li, Bin Yang, Z. Yuan, Dan Huang, Peifen Cheng, Jiangyang Yun
In order to achieve the goal of "double carbon", it is urgent to build a new power system with new energy as the main body. It is vital for the construction and planning of new power system to reasonably optimize the installed ratio of various power supplies. To this end, this paper proposes a capacity allocation optimization method of multi energy power system based on complementary equilibrium theory, and establishes the capacity optimization models of multi-energy system such as wind power, thermal power, nuclear power and energy storage with the objective of minimizing the operation cost of the whole network. The model adopts the load characteristics, the output characteristics of new energy and the operation characteristics of energy storage power stations in the target power grid. The annual output time series of wind/photovoltaic and the load series are used as the input of the model. Through the annual time series production simulation calculation, the optimal capacity ratio of wind-photovoltaic-thermal-nuclear-storage system is determined to meet the conditions. Finally, a regional power grid in China is demonstrated as an example to verify the effectiveness and practicability of the proposed model and method.
{"title":"Study on Capacity Ratio Optimization of Multi-Energy Power System","authors":"Wensheng Li, Bin Yang, Z. Yuan, Dan Huang, Peifen Cheng, Jiangyang Yun","doi":"10.1109/CEEPE55110.2022.9783338","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783338","url":null,"abstract":"In order to achieve the goal of \"double carbon\", it is urgent to build a new power system with new energy as the main body. It is vital for the construction and planning of new power system to reasonably optimize the installed ratio of various power supplies. To this end, this paper proposes a capacity allocation optimization method of multi energy power system based on complementary equilibrium theory, and establishes the capacity optimization models of multi-energy system such as wind power, thermal power, nuclear power and energy storage with the objective of minimizing the operation cost of the whole network. The model adopts the load characteristics, the output characteristics of new energy and the operation characteristics of energy storage power stations in the target power grid. The annual output time series of wind/photovoltaic and the load series are used as the input of the model. Through the annual time series production simulation calculation, the optimal capacity ratio of wind-photovoltaic-thermal-nuclear-storage system is determined to meet the conditions. Finally, a regional power grid in China is demonstrated as an example to verify the effectiveness and practicability of the proposed model and method.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126876347","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783391
P. Dai, Yu-Hui Zhao, Zhesheng Hu, Hao Sun, Li Yang
With the proposal of the national 3060 strategies, distributed renewable energy has been connected to the power system network in large quantities because of its superior environmental protection, and it has also brought a lot of volatility and randomness to the power grid. In order to respond reasonably considering the uncertainty caused by connection of distributed photovoltaic, and considering the environmental benefits of system operation, this paper proposes a multi-objective-oriented integrated energy system photovoltaic power plant planning method. By establishing photovoltaic power plant and integrated energy system models, obtain the location selection strategy of photovoltaic power stations aiming to economic and environmental protection objectives.
{"title":"Multi-objective-oriented Integrated Energy System Photovoltaic Power Station Planning Method","authors":"P. Dai, Yu-Hui Zhao, Zhesheng Hu, Hao Sun, Li Yang","doi":"10.1109/CEEPE55110.2022.9783391","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783391","url":null,"abstract":"With the proposal of the national 3060 strategies, distributed renewable energy has been connected to the power system network in large quantities because of its superior environmental protection, and it has also brought a lot of volatility and randomness to the power grid. In order to respond reasonably considering the uncertainty caused by connection of distributed photovoltaic, and considering the environmental benefits of system operation, this paper proposes a multi-objective-oriented integrated energy system photovoltaic power plant planning method. By establishing photovoltaic power plant and integrated energy system models, obtain the location selection strategy of photovoltaic power stations aiming to economic and environmental protection objectives.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120950860","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783309
Tiecheng Li, Qingquan Liu, Jiangbo Ren, Yifeng Xiang, Yan Xu
To solve the problem of low efficiency of manual analysis due to noise data in secondary system fault analysis of intelligent station, a fault data analysis method based on particle swarm optimization and improved random forest was proposed. Before the analysis, the fault data of the secondary system is collected first, and then the specific communication state of each loop and each terminal is determined by combining the secondary loop resolved by the SCD file, setting the fault feature values to attribute values, the analysis results to labels, using the improved random forest algorithm carries on the classification, combined with particle swarm algorithm optimize the key parameters, Weight is set for each tree according to the classification accuracy of each tree, and finally, the data is classified by voting. Through the test set verification, the improved method has higher accuracy and stronger anti-noise ability compared with the traditional random forest, SVM, and BP neural network, and improves the efficiency of fault analysis.
{"title":"Fault Analysis of Intelligent Substation Secondary System Based on Improved Random Forest","authors":"Tiecheng Li, Qingquan Liu, Jiangbo Ren, Yifeng Xiang, Yan Xu","doi":"10.1109/CEEPE55110.2022.9783309","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783309","url":null,"abstract":"To solve the problem of low efficiency of manual analysis due to noise data in secondary system fault analysis of intelligent station, a fault data analysis method based on particle swarm optimization and improved random forest was proposed. Before the analysis, the fault data of the secondary system is collected first, and then the specific communication state of each loop and each terminal is determined by combining the secondary loop resolved by the SCD file, setting the fault feature values to attribute values, the analysis results to labels, using the improved random forest algorithm carries on the classification, combined with particle swarm algorithm optimize the key parameters, Weight is set for each tree according to the classification accuracy of each tree, and finally, the data is classified by voting. Through the test set verification, the improved method has higher accuracy and stronger anti-noise ability compared with the traditional random forest, SVM, and BP neural network, and improves the efficiency of fault analysis.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115962994","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783423
Tianlong Xing, Jianjie Xue, Bo Zhao, Cui Cheng
Through the analysis of power big data, this project studies the internal mechanism relationship between the grid peak-valley difference and the load-side resource regulation ability, designs a multi-integrated and highly flexible load-side trans-action trigger mechanism based on the grid peak-valley difference, and establishes a long-term market trigger mechanism for grid security. Based on the goal of reducing the average peak-valley difference in the province by the percentage reduction, using the real historical data of typical regions, the automatic trading plan measurement model was designed, and the load response transaction plan for peak-shaving and valley-filling in 2021 was formulated, and the diversified integration of highly flexible grid load-side transactions. The market mechanism has designed and developed 4 trading varieties. By coordinating the load-side transaction plan with the control center, the positive and negative backup of the power grid can be reduced, and the operating cost of the power grid can be reduced.
{"title":"Research on Load-side Transaction Mechanism Based on the Peak-valley Difference of Power Grid","authors":"Tianlong Xing, Jianjie Xue, Bo Zhao, Cui Cheng","doi":"10.1109/CEEPE55110.2022.9783423","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783423","url":null,"abstract":"Through the analysis of power big data, this project studies the internal mechanism relationship between the grid peak-valley difference and the load-side resource regulation ability, designs a multi-integrated and highly flexible load-side trans-action trigger mechanism based on the grid peak-valley difference, and establishes a long-term market trigger mechanism for grid security. Based on the goal of reducing the average peak-valley difference in the province by the percentage reduction, using the real historical data of typical regions, the automatic trading plan measurement model was designed, and the load response transaction plan for peak-shaving and valley-filling in 2021 was formulated, and the diversified integration of highly flexible grid load-side transactions. The market mechanism has designed and developed 4 trading varieties. By coordinating the load-side transaction plan with the control center, the positive and negative backup of the power grid can be reduced, and the operating cost of the power grid can be reduced.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116664562","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783380
Ying Xu, Xuan Li, Ziyu Guo, Zijian Gao
The majority of renewable energy in China is located in the northwest area, including Xinjiang, Tibet, Nei Monggol and Qinghai province. However, it is critical to deliver this massive amount renewable power to the east side of China due to the imbalance of population. In addition, global energy interconnection has become increasingly popular. As an effective solution, ultra-high voltage direct current transmission systems (UHVDC) can easily achieve asynchronous grid interconnection, as well as a balanced distribution of renewable energy. This paper presents an approach to encounter overvoltage suppression by new UHVDC control strategies, as well as installing controllable lightning arrester. Validation is performed on real-time digital simulator (RTDS) by using the real data from Zhalute-Qingzhou ± 800 kV UHVDC project. The results show presented approach of overvoltage suppression can reduce the level of overvoltage from sending end by up to 15% when AC system fault happens at the receiving end.
{"title":"Mechanism of Overvoltage and Strategies of Overvoltage Suppression for UHVDC Systems Powered by Renewable Energy","authors":"Ying Xu, Xuan Li, Ziyu Guo, Zijian Gao","doi":"10.1109/CEEPE55110.2022.9783380","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783380","url":null,"abstract":"The majority of renewable energy in China is located in the northwest area, including Xinjiang, Tibet, Nei Monggol and Qinghai province. However, it is critical to deliver this massive amount renewable power to the east side of China due to the imbalance of population. In addition, global energy interconnection has become increasingly popular. As an effective solution, ultra-high voltage direct current transmission systems (UHVDC) can easily achieve asynchronous grid interconnection, as well as a balanced distribution of renewable energy. This paper presents an approach to encounter overvoltage suppression by new UHVDC control strategies, as well as installing controllable lightning arrester. Validation is performed on real-time digital simulator (RTDS) by using the real data from Zhalute-Qingzhou ± 800 kV UHVDC project. The results show presented approach of overvoltage suppression can reduce the level of overvoltage from sending end by up to 15% when AC system fault happens at the receiving end.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116690214","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783377
Xingang Yang, Boyuan Cao, Chuanwen Li, Yang Du, Lingyu Guo, Zhongguang Yang
Contiguous and large-scale development of offshore wind power clusters is an important way for the industry to reduce costs and increase efficiency and promote offshore wind power to parity. To solve the coordination planning problem of onshore power grid expansion under the uncertain access time sequence of offshore wind farms, this paper proposes the Stackelberg game model of onshore power grid expansion planning considering slight altruistic balance of late return from the perspective of multiple investors in offshore wind farm integration system. First, the game relationship between different investment entities of offshore wind power access projects is analyzed, and a slightly altruistic Stackelberg game model is established that considers later returns. Then, aiming at the value evaluation of investment entities under the influence of uncertain factors, considering the uncertainty of offshore wind power prices and grid transmission prices, a value evaluation model for offshore wind power and onshore power grid expansion projects based on real options is constructed. Finally, the effectiveness of the proposed method is verified by numerical example simulation. The method proposed in this paper improves the adaptability of multi-stage expansion planning of onshore power grids under the influence of uncertain factors in the connection of offshore wind farms, and also provides a reference for flexible access planning of offshore wind farms under multi-agent investment and operation.
{"title":"Multi-stage Expansion Planning of Onshore Power Grid under Multiple Investment Agents Considering Construction Sequence of Offshore Wind Farms","authors":"Xingang Yang, Boyuan Cao, Chuanwen Li, Yang Du, Lingyu Guo, Zhongguang Yang","doi":"10.1109/CEEPE55110.2022.9783377","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783377","url":null,"abstract":"Contiguous and large-scale development of offshore wind power clusters is an important way for the industry to reduce costs and increase efficiency and promote offshore wind power to parity. To solve the coordination planning problem of onshore power grid expansion under the uncertain access time sequence of offshore wind farms, this paper proposes the Stackelberg game model of onshore power grid expansion planning considering slight altruistic balance of late return from the perspective of multiple investors in offshore wind farm integration system. First, the game relationship between different investment entities of offshore wind power access projects is analyzed, and a slightly altruistic Stackelberg game model is established that considers later returns. Then, aiming at the value evaluation of investment entities under the influence of uncertain factors, considering the uncertainty of offshore wind power prices and grid transmission prices, a value evaluation model for offshore wind power and onshore power grid expansion projects based on real options is constructed. Finally, the effectiveness of the proposed method is verified by numerical example simulation. The method proposed in this paper improves the adaptability of multi-stage expansion planning of onshore power grids under the influence of uncertain factors in the connection of offshore wind farms, and also provides a reference for flexible access planning of offshore wind farms under multi-agent investment and operation.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115180565","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783257
Zhongqing Sun, Wei Li, Zhaohui Qie
In the process of low-carbon transformation of the energy system, the proportion of renewable energy units in the system has increased rapidly, and the proportion of conventional energy units has decreased, the renewable energy protection parameters and the control of the grid are more closely coupled. The impact of reactive power output during the Low-Voltage Ride-Through (LVRT) of renewable energy is prominent, faults happened in different places will impose different reactive power requirements on renewable energy, and even contradict with each other. This paper aims at the changes of the voltage after the grid failure caused by the reactive power output of the renewable energy during the LVRT, and analyzes the amount of reactive current coefficient parameter optimization for the security control measures of the system low voltage problem after the AC failure and the transient overvoltage problem after the DC failure. A comprehensive optimization model considering the amount of stability measures and DC transmission power is established, and a renewable energy reactive power parameters optimization during LVRT at DC sending end adapted to multi-objective voltage control is come up. The effectiveness of this optimization process is verified by simulation examples.
{"title":"Renewable Energy Reactive Power Parameters Optimization during LVRT at DC Sending End Adapted to Multi-objective Voltage Control","authors":"Zhongqing Sun, Wei Li, Zhaohui Qie","doi":"10.1109/CEEPE55110.2022.9783257","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783257","url":null,"abstract":"In the process of low-carbon transformation of the energy system, the proportion of renewable energy units in the system has increased rapidly, and the proportion of conventional energy units has decreased, the renewable energy protection parameters and the control of the grid are more closely coupled. The impact of reactive power output during the Low-Voltage Ride-Through (LVRT) of renewable energy is prominent, faults happened in different places will impose different reactive power requirements on renewable energy, and even contradict with each other. This paper aims at the changes of the voltage after the grid failure caused by the reactive power output of the renewable energy during the LVRT, and analyzes the amount of reactive current coefficient parameter optimization for the security control measures of the system low voltage problem after the AC failure and the transient overvoltage problem after the DC failure. A comprehensive optimization model considering the amount of stability measures and DC transmission power is established, and a renewable energy reactive power parameters optimization during LVRT at DC sending end adapted to multi-objective voltage control is come up. The effectiveness of this optimization process is verified by simulation examples.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122918970","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 : 2022-04-22DOI: 10.1109/CEEPE55110.2022.9783376
Honghao Luo, Shan Gao
This paper proposes a line vulnerability evaluation system based on three indexes, taking into account the factors of power system structure and state. Based on the subjective-objective weighting method, the scores of comprehensive vulnerability are calculated, and finally the list of the top 10 most vulnerable lines is sorted. The effectiveness of the evaluation system is verified by IEEE39 node network.
{"title":"Comprehensive Evaluation Method of Power Grid Vulnerable Lines Considering Structure and State Characteristics","authors":"Honghao Luo, Shan Gao","doi":"10.1109/CEEPE55110.2022.9783376","DOIUrl":"https://doi.org/10.1109/CEEPE55110.2022.9783376","url":null,"abstract":"This paper proposes a line vulnerability evaluation system based on three indexes, taking into account the factors of power system structure and state. Based on the subjective-objective weighting method, the scores of comprehensive vulnerability are calculated, and finally the list of the top 10 most vulnerable lines is sorted. The effectiveness of the evaluation system is verified by IEEE39 node network.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131606856","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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