Trust evaluation model for distributed home photovoltaic collection scenarios in new power system
Aiming at the problem that the existing sensor network trust evaluation model could not be directly applied to the new power system distributed home photovoltaic collection scenario, which was difficult to meet the require-ments of strong computing power and high defense power of the new power syste...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2023-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023137/ |
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| _version_ | 1841540057871155200 |
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| author | Li LI Xiaolong WANG Zhixin ZHANG Rongliang SHI Xu GUO |
| author_facet | Li LI Xiaolong WANG Zhixin ZHANG Rongliang SHI Xu GUO |
| author_sort | Li LI |
| collection | DOAJ |
| description | Aiming at the problem that the existing sensor network trust evaluation model could not be directly applied to the new power system distributed home photovoltaic collection scenario, which was difficult to meet the require-ments of strong computing power and high defense power of the new power system, a distributed dynamic trust evaluation model based on multi-index detection was proposed.Firstly, the communication trust evaluation based on Bayes was carried out according to the historical interaction of terminal acquisition nodes.Then, the currently col-lected data was evaluated by perceptual trust based on its historical data support degree and regional trust based on probability density.Finally, the entropy weight method was used to decentralize each trust module’s values dynamically.The node activeness and double reward and punishment mechanism were introduced to calculate the comprehensive trust value and realize the dynamic update.The experimental results show that the four levels of the trust evaluation model are suitable for the new power system environment and can be used to detect the distributed in 20 round period of household photovoltaic power generation collection given the signal in the scene, achieve dynamic and accurate trust evaluation of abnormal nodes in the case of physical environment factors, equipment quality factors, human misoperation and malicious intrusion. |
| format | Article |
| id | doaj-art-962cf42c92984cd083daeac9955346e3 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2023-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-962cf42c92984cd083daeac9955346e32025-01-14T06:22:20ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-07-014419720659384194Trust evaluation model for distributed home photovoltaic collection scenarios in new power systemLi LIXiaolong WANGZhixin ZHANGRongliang SHIXu GUOAiming at the problem that the existing sensor network trust evaluation model could not be directly applied to the new power system distributed home photovoltaic collection scenario, which was difficult to meet the require-ments of strong computing power and high defense power of the new power system, a distributed dynamic trust evaluation model based on multi-index detection was proposed.Firstly, the communication trust evaluation based on Bayes was carried out according to the historical interaction of terminal acquisition nodes.Then, the currently col-lected data was evaluated by perceptual trust based on its historical data support degree and regional trust based on probability density.Finally, the entropy weight method was used to decentralize each trust module’s values dynamically.The node activeness and double reward and punishment mechanism were introduced to calculate the comprehensive trust value and realize the dynamic update.The experimental results show that the four levels of the trust evaluation model are suitable for the new power system environment and can be used to detect the distributed in 20 round period of household photovoltaic power generation collection given the signal in the scene, achieve dynamic and accurate trust evaluation of abnormal nodes in the case of physical environment factors, equipment quality factors, human misoperation and malicious intrusion.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023137/sensor networktrust evaluationsupport degreeprobability density function |
| spellingShingle | Li LI Xiaolong WANG Zhixin ZHANG Rongliang SHI Xu GUO Trust evaluation model for distributed home photovoltaic collection scenarios in new power system Tongxin xuebao sensor network trust evaluation support degree probability density function |
| title | Trust evaluation model for distributed home photovoltaic collection scenarios in new power system |
| title_full | Trust evaluation model for distributed home photovoltaic collection scenarios in new power system |
| title_fullStr | Trust evaluation model for distributed home photovoltaic collection scenarios in new power system |
| title_full_unstemmed | Trust evaluation model for distributed home photovoltaic collection scenarios in new power system |
| title_short | Trust evaluation model for distributed home photovoltaic collection scenarios in new power system |
| title_sort | trust evaluation model for distributed home photovoltaic collection scenarios in new power system |
| topic | sensor network trust evaluation support degree probability density function |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023137/ |
| work_keys_str_mv | AT lili trustevaluationmodelfordistributedhomephotovoltaiccollectionscenariosinnewpowersystem AT xiaolongwang trustevaluationmodelfordistributedhomephotovoltaiccollectionscenariosinnewpowersystem AT zhixinzhang trustevaluationmodelfordistributedhomephotovoltaiccollectionscenariosinnewpowersystem AT rongliangshi trustevaluationmodelfordistributedhomephotovoltaiccollectionscenariosinnewpowersystem AT xuguo trustevaluationmodelfordistributedhomephotovoltaiccollectionscenariosinnewpowersystem |