Pub Date : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918232
Tao Lin, Fengqin Han, Jiongtong Huang
Thermoelectric conversion technology is attracting attention due to global warming. In this paper, the experimental measurements and numerical simulations were used to evaluate the impacts of structural parameters, compressive load, and the thermal gradient on the performance of thermoelectric generators (TEG) with different substrates. Compared with our previous studies on the enhancement of TEG performance in terms of material modification, P/N junction structure, thermal field match, and system performance optimization, here the high-performance TEG based on the superconducting substrate were reported, in which the effective thermal resistance, thermal stress, and output power characteristics were measured and discussed.
{"title":"Enhancement Performance of Thermoelectric Generators with Superconducting Substrates","authors":"Tao Lin, Fengqin Han, Jiongtong Huang","doi":"10.1109/ICPET55165.2022.9918232","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918232","url":null,"abstract":"Thermoelectric conversion technology is attracting attention due to global warming. In this paper, the experimental measurements and numerical simulations were used to evaluate the impacts of structural parameters, compressive load, and the thermal gradient on the performance of thermoelectric generators (TEG) with different substrates. Compared with our previous studies on the enhancement of TEG performance in terms of material modification, P/N junction structure, thermal field match, and system performance optimization, here the high-performance TEG based on the superconducting substrate were reported, in which the effective thermal resistance, thermal stress, and output power characteristics were measured and discussed.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"13 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126707184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Branch-and-Bound (BnB) method is the fundamental solution framework for solving large-scale security-constrained unit commitment (SCUC) problem. Due to the central role variable selection rules play in such a solution procedure, this paper develops some efficient methods to actively learn the variable selection rule. Instead of using a pre-fixed rule, we propose to use a randomized strategy to select the branching variables. In such a strategy, the probability associated with the variable selection is learned from the historical solutions generated by the similar problems with different parametric patterns. To accelerate the learning procedure, we further propose to use either Grid Search or Bayesian Optimization technique to learn such a probability distribution. Using the randomly generated SCUC problems, we evaluate our randomized variable selection rule which incorporates the Most Infeasible Branching rule, Least Infeasible Branching rule, Pseudocost Branching rule, and the CPLEX Adaptive Branching rule as a basis. The preliminary computational results show that our proposed method gives remarkable improvements in solving the SCUC problem.
{"title":"Randomized Branching Strategy in Solving SCUC Model","authors":"Rongzhang Cao, Yanguang Chen, Wenzhi Gao, Jianjun Gao, Yantao Zhang, Chunling Lu, Dongdong Ge","doi":"10.1109/ICPET55165.2022.9918362","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918362","url":null,"abstract":"The Branch-and-Bound (BnB) method is the fundamental solution framework for solving large-scale security-constrained unit commitment (SCUC) problem. Due to the central role variable selection rules play in such a solution procedure, this paper develops some efficient methods to actively learn the variable selection rule. Instead of using a pre-fixed rule, we propose to use a randomized strategy to select the branching variables. In such a strategy, the probability associated with the variable selection is learned from the historical solutions generated by the similar problems with different parametric patterns. To accelerate the learning procedure, we further propose to use either Grid Search or Bayesian Optimization technique to learn such a probability distribution. Using the randomly generated SCUC problems, we evaluate our randomized variable selection rule which incorporates the Most Infeasible Branching rule, Least Infeasible Branching rule, Pseudocost Branching rule, and the CPLEX Adaptive Branching rule as a basis. The preliminary computational results show that our proposed method gives remarkable improvements in solving the SCUC problem.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"351 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113989095","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918335
Ma Longpeng, Wang Zhe, Xia Yinyong, Cen Baoyi, Wang Xin
In this paper, a short-term load forecasting technology considering multiple influencing factors is proposed to improve the reliability of short-term load forecasting from the two aspects of influencing factors and model selection. Firstly, the influence factors of power load are summarized and analyzed, and then the influencing factors are optimized and sorted by the XGBoost algorithm. Finally, the short-term load forecasting results are obtained by RNN and LSTM training model. Simulation results show that the proposed method has good accuracy.
{"title":"A Short-term Load Forecasting Method Considering Multiple Influencing Factors","authors":"Ma Longpeng, Wang Zhe, Xia Yinyong, Cen Baoyi, Wang Xin","doi":"10.1109/ICPET55165.2022.9918335","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918335","url":null,"abstract":"In this paper, a short-term load forecasting technology considering multiple influencing factors is proposed to improve the reliability of short-term load forecasting from the two aspects of influencing factors and model selection. Firstly, the influence factors of power load are summarized and analyzed, and then the influencing factors are optimized and sorted by the XGBoost algorithm. Finally, the short-term load forecasting results are obtained by RNN and LSTM training model. Simulation results show that the proposed method has good accuracy.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114815652","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918520
Guangliang Liu, Qiuye Sun, Yujia Huang, Zhengqi Sui
This paper studies a fuzzy adaptive consensus control problem for islanded microgrid (MG) with output contactor fault (OCF) via prescribed fixed-time performance (PFTP) method. Firstly, a PFTP function is proposed to improve the voltage recovery’s speed. Then, the unknown nonlinear function is estimated via using the fuzzy logic system. Next, an adaptive fuzzy cooperative control strategy is developed via backstepping technology to realize the voltage recovery, and the adverse effect of OCF is solved by constructing an adaptive law. According to the Lyapunov stability theory, the voltage recovery synchronization error (VRSE) is testified to satisfy the PFTP, and in the closed-loop systems all signals are bounded. Finally, an illustrative example validates the effectiveness of the proposed control protocol via MATLAB.
{"title":"Prescribed Fixed-Time-Based Adaptive Consensus Voltage Recovery Control for Microgrid","authors":"Guangliang Liu, Qiuye Sun, Yujia Huang, Zhengqi Sui","doi":"10.1109/ICPET55165.2022.9918520","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918520","url":null,"abstract":"This paper studies a fuzzy adaptive consensus control problem for islanded microgrid (MG) with output contactor fault (OCF) via prescribed fixed-time performance (PFTP) method. Firstly, a PFTP function is proposed to improve the voltage recovery’s speed. Then, the unknown nonlinear function is estimated via using the fuzzy logic system. Next, an adaptive fuzzy cooperative control strategy is developed via backstepping technology to realize the voltage recovery, and the adverse effect of OCF is solved by constructing an adaptive law. According to the Lyapunov stability theory, the voltage recovery synchronization error (VRSE) is testified to satisfy the PFTP, and in the closed-loop systems all signals are bounded. Finally, an illustrative example validates the effectiveness of the proposed control protocol via MATLAB.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124040407","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918327
Jianli Zhao, Yilin Wang, Bo Yang, Lei Wang
With the acceleration of power construction, the span adopted by transmission lines has increased, and its vibration under the action of breeze is more serious, which puts forward higher requirements for the design of aeolian vibration prevention of transmission lines. In order to solve the problem that the current energy balance method is difficult to meet the needs of high-voltage engineering construction. Starting with the three key powers of energy balance method: wind energy input power, self damping power of transmission line and power consumed by vibration damper, this paper improves the traditional aeolian vibration analysis method, and uses the modified vibration equation of transmission line vibration damper system to select FR3 vibration damper as the calculation model case. The dynamic bending strain with or without damper in different span ranges of 200~800m is calculated by numerical simulation. The results show that the installation of FR-3 damper has a good effect on preventing aeolian vibration of transmission lines with different spans. The maximum flying frequency of vibration is 15Hz~30Hz, and the maximum dynamic bending strain is 20με, The simulation results can guide the practical application of anti vibration hammer in aeolian vibration line.
{"title":"Finite Element Simulation Analysis of Transmission Line Aeolian Vibration Prevention Effect Based on Energy Balance Method","authors":"Jianli Zhao, Yilin Wang, Bo Yang, Lei Wang","doi":"10.1109/ICPET55165.2022.9918327","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918327","url":null,"abstract":"With the acceleration of power construction, the span adopted by transmission lines has increased, and its vibration under the action of breeze is more serious, which puts forward higher requirements for the design of aeolian vibration prevention of transmission lines. In order to solve the problem that the current energy balance method is difficult to meet the needs of high-voltage engineering construction. Starting with the three key powers of energy balance method: wind energy input power, self damping power of transmission line and power consumed by vibration damper, this paper improves the traditional aeolian vibration analysis method, and uses the modified vibration equation of transmission line vibration damper system to select FR3 vibration damper as the calculation model case. The dynamic bending strain with or without damper in different span ranges of 200~800m is calculated by numerical simulation. The results show that the installation of FR-3 damper has a good effect on preventing aeolian vibration of transmission lines with different spans. The maximum flying frequency of vibration is 15Hz~30Hz, and the maximum dynamic bending strain is 20με, The simulation results can guide the practical application of anti vibration hammer in aeolian vibration line.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124041007","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918497
Yumin Liu, Morun Zhu, Jingpo Bai, Yu Qin, Yao Zhang
With the rapid development of renewable energy generation, probabilistic forecasting has attracted more attention compared to deterministic forecasting. This paper focuses on generating short-term probabilistic forecasting of renewable energy power with quantiles chosen as uncertainty representation. First, in order to avoid the crossing-quantile problem, some constraints associated with quantile-increment series, which are obtained by reformulating the quantile series, are proposed. Then, recurrent neural network is adopted to depict the complex nonlinear relationship between predictors and quantiles, and a reasonable decoder structure is designed to obtain multistep-ahead quantiles prediction directly. Numerical results on a real-world solar power dataset verify the effectiveness of our proposed model, which is capable of providing the high-quality quantiles with less time compared with some advanced benchmarks.
{"title":"Short-Term Probabilistic Forecasting of Renewable Energy Generation with Direct Multistep-Ahead Strategy and Recurrent Neural Network","authors":"Yumin Liu, Morun Zhu, Jingpo Bai, Yu Qin, Yao Zhang","doi":"10.1109/ICPET55165.2022.9918497","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918497","url":null,"abstract":"With the rapid development of renewable energy generation, probabilistic forecasting has attracted more attention compared to deterministic forecasting. This paper focuses on generating short-term probabilistic forecasting of renewable energy power with quantiles chosen as uncertainty representation. First, in order to avoid the crossing-quantile problem, some constraints associated with quantile-increment series, which are obtained by reformulating the quantile series, are proposed. Then, recurrent neural network is adopted to depict the complex nonlinear relationship between predictors and quantiles, and a reasonable decoder structure is designed to obtain multistep-ahead quantiles prediction directly. Numerical results on a real-world solar power dataset verify the effectiveness of our proposed model, which is capable of providing the high-quality quantiles with less time compared with some advanced benchmarks.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124098839","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918383
Haijun Liu, Weiguo Li, Xiaobin Mu, Yunfei Xu, Guangyao Qiao, Z. Zhao, Xiaoyu Zhang, Xuan Wang
As a flexible, zero-carbon, high-density energy carrier, hydrogen energy plays an important role in achieving carbon neutrality goals as medium or long-term high-power energy storage. Wind power and photovoltaic power (PV) generation integrated hydrogen storage equipment convert and utilize energy as fuel cells, it can alleviate PV and wind power curtailment condition effectively, which will reduce carbon emissions. Hydrogen production converter has decisive influence on of hydrogen production efficiency from water electrolysis. This paper present key parameter design method based on typical hydrogen production converter topology, in addition transformer leakage inductance and port capacitance in the topology circuit and their influence on the output ripple of the converter is studied combined with the simulation and prototype experimental results. Output ripple and loss analysis is also carried out to verify its performance.
{"title":"Parameter Design and Performance Analysis for High-efficiency and Low-Ripple Electrolyzed Waterto-Hydrogen Converter","authors":"Haijun Liu, Weiguo Li, Xiaobin Mu, Yunfei Xu, Guangyao Qiao, Z. Zhao, Xiaoyu Zhang, Xuan Wang","doi":"10.1109/ICPET55165.2022.9918383","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918383","url":null,"abstract":"As a flexible, zero-carbon, high-density energy carrier, hydrogen energy plays an important role in achieving carbon neutrality goals as medium or long-term high-power energy storage. Wind power and photovoltaic power (PV) generation integrated hydrogen storage equipment convert and utilize energy as fuel cells, it can alleviate PV and wind power curtailment condition effectively, which will reduce carbon emissions. Hydrogen production converter has decisive influence on of hydrogen production efficiency from water electrolysis. This paper present key parameter design method based on typical hydrogen production converter topology, in addition transformer leakage inductance and port capacitance in the topology circuit and their influence on the output ripple of the converter is studied combined with the simulation and prototype experimental results. Output ripple and loss analysis is also carried out to verify its performance.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134424405","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918521
Y. Zhuo, Zhengang Yang, Wantong Cai, Baorong Zhou
With the swift growth of hydrogen production and storage technology, the progress of hydrogen energy storage systems (HESSs) will bring radical revolution to the composition of energy and power system. The combination of HESSs and battery energy storage systems (BESSs) for coordinated optimization can solve the imbalance between supply and demand of various energy sources, while it can improve energy efficiency. In order to ensure the effectiveness of BESSs and HESSs planning, aiming at the minimum life cycle cost (LCC), system network loss, tie line exchange power deviation, load fluctuation, and voltage fluctuation, this paper utilizes multi-objective particle swarm optimization (MOPSO) to solve the Pareto non-dominated solution set of ESSSs location and capacity planning scheme. Besides, the grey target decision based on the entropy weight method (EWM) is used to select the best compromise solution in the Pareto non-dominated solution set. In addition, the typical operation scenario set of source load is obtained by fuzzy kernel C-means (FKCM) clustering algorithm, while the simulation analysis is carried out on the basis of the extended IEEE-33 bus system. The simulation results show that MOPSO realizes the minimum LCC of the electric-hydrogen hybrid energy storage system, upon which its voltage quality, power stability, network loss, and load fluctuation are better than those non-optimized.
{"title":"Multi-objective Optimal Configuration of Electric-Hydrogen Hybrid Energy Storage System","authors":"Y. Zhuo, Zhengang Yang, Wantong Cai, Baorong Zhou","doi":"10.1109/ICPET55165.2022.9918521","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918521","url":null,"abstract":"With the swift growth of hydrogen production and storage technology, the progress of hydrogen energy storage systems (HESSs) will bring radical revolution to the composition of energy and power system. The combination of HESSs and battery energy storage systems (BESSs) for coordinated optimization can solve the imbalance between supply and demand of various energy sources, while it can improve energy efficiency. In order to ensure the effectiveness of BESSs and HESSs planning, aiming at the minimum life cycle cost (LCC), system network loss, tie line exchange power deviation, load fluctuation, and voltage fluctuation, this paper utilizes multi-objective particle swarm optimization (MOPSO) to solve the Pareto non-dominated solution set of ESSSs location and capacity planning scheme. Besides, the grey target decision based on the entropy weight method (EWM) is used to select the best compromise solution in the Pareto non-dominated solution set. In addition, the typical operation scenario set of source load is obtained by fuzzy kernel C-means (FKCM) clustering algorithm, while the simulation analysis is carried out on the basis of the extended IEEE-33 bus system. The simulation results show that MOPSO realizes the minimum LCC of the electric-hydrogen hybrid energy storage system, upon which its voltage quality, power stability, network loss, and load fluctuation are better than those non-optimized.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130933065","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918432
Liang Chen, Yijie Xu, Chunyu Yang
An adaptive active power filter (APF) for the DC grid in ships is proposed to suppress harmonic currents above kilohertz. The delay notch Filtered X-Least Mean Square (FXLMS) algorithm is introduced as the control algorithm of adaptive APF in this paper. Taking the typical twelve-pulse rectifier device of DC grid in ships as an example, a MATLAB / Simulink simulation model of APF based on both delay notch FXLMS algorithm and classical FXLMS algorithm are built, and the calculation amount of the two algorithms is compared. The harmonic suppression effect of delay notch FXLMS algorithm in the situation that harmonic source changes dynamically is also simulated.
{"title":"Simulation of an Adaptive APF Controlled by Delay Notch FXLMS Method","authors":"Liang Chen, Yijie Xu, Chunyu Yang","doi":"10.1109/ICPET55165.2022.9918432","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918432","url":null,"abstract":"An adaptive active power filter (APF) for the DC grid in ships is proposed to suppress harmonic currents above kilohertz. The delay notch Filtered X-Least Mean Square (FXLMS) algorithm is introduced as the control algorithm of adaptive APF in this paper. Taking the typical twelve-pulse rectifier device of DC grid in ships as an example, a MATLAB / Simulink simulation model of APF based on both delay notch FXLMS algorithm and classical FXLMS algorithm are built, and the calculation amount of the two algorithms is compared. The harmonic suppression effect of delay notch FXLMS algorithm in the situation that harmonic source changes dynamically is also simulated.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131037145","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918526
Lipan Fan, Tao Peng, Rui Tian, Zecheng Liu, Yang Ni, Liwei Liu
In order to improve the user access control effect of power marketing system, a user rights allocation method for power marketing system based on RBAC model is proposed. Use the trust attribute to expand the access strategy expression, obtain the global trust of power marketing system information resources and control access rights by monitoring users' access behavior; Based on the results of access control, the role-based access control (RBAC) model and the mandatory access control model are analyzed, and the concept of role is introduced. User rights access level is obtained by quantifying the trust of different access behaviors among users when assigning rights, and the user rights are assigned. The results show that the user access control time of the proposed method is shorter, the error rate of user rights allocation is lower, and the degree of user satisfaction is improved.
{"title":"RBAC Model-Based User Authority Distribution Method of Power Marketing System","authors":"Lipan Fan, Tao Peng, Rui Tian, Zecheng Liu, Yang Ni, Liwei Liu","doi":"10.1109/ICPET55165.2022.9918526","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918526","url":null,"abstract":"In order to improve the user access control effect of power marketing system, a user rights allocation method for power marketing system based on RBAC model is proposed. Use the trust attribute to expand the access strategy expression, obtain the global trust of power marketing system information resources and control access rights by monitoring users' access behavior; Based on the results of access control, the role-based access control (RBAC) model and the mandatory access control model are analyzed, and the concept of role is introduced. User rights access level is obtained by quantifying the trust of different access behaviors among users when assigning rights, and the user rights are assigned. The results show that the user access control time of the proposed method is shorter, the error rate of user rights allocation is lower, and the degree of user satisfaction is improved.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132437258","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：