团队成员
梁永亮
发布时间:2021年10月05日 15:22    作者:    点击:[]

            

个人信息

梁永亮山东烟台人,1987年生


学术身份

博士后

国际大电网委员会青年专家组织成员

IEEE Member

     

工作经历

2019.12 -- 至今

山东大学

2015.11 -- 2019.12

中国石油大学(华东


研究方向

有源配电网态势感知:潜伏性故障辨识、渐进型故障预测等。

基于AI的电力设备故障诊断。

综合能源系统优化调度等。


学术著作(部分)


代表性论文

[1]Y. -L. Liang, K. -J. Li, Z. -Y. Zhang and W. -J. Lee, "Integrated Model for Recognition of Single-Phase-to-Ground Fault Caused by Insulation Deterioration in Medium-Voltage Distribution Networks," 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 2021, pp. 1059-1064, doi: 10.1109/ICPSAsia52756.2021.9621447.

[2]Y. -L. Liang, K. -J. Li, Z. -Y. Zhang and W. -J. Lee, "Integrated Model for Recognition of Single-Phase-to-Ground Fault Caused by Insulation Deterioration in Medium-Voltage Distribution Networks," 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 2021, pp. 1059-1064, doi: 10.1109/ICPSAsia52756.2021.9621447.

[3]C. -X. Guo, Y. -L. Liang and K. -J. Li, "An Optimization Model of CNG Refueling Station Considering Demand Response," 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 2021, pp. 360-365, doi: 10.1109/ICPSAsia52756.2021.9621595.

[4]Z. Zhang, Y. Liang and Z. Ma, "A Guiding Learning Model For Transformer Fault Diagnosis Combining Rule-Based Domain Knowledge And Extreme Learning Machine," 2021 IEEE 4th International Electrical and Energy Conference (CIEEC), 2021, pp. 1-6, doi: 10.1109/CIEEC50170.2021.9510317.

[5]Xue Chang,Yong-Liang Liang et al., "Detection of Latent Fault in Medium Voltage Distribution Cables Based on Guiding Learning Model," 2022 4th Asia Energy and Electrical Engineering Symposium (AEEES), 2022, pp. 667-673, doi: 10.1109/AEEES54426.2022.9759678.

[6]C. Yang, Y. Liang, K. Li, Y. Liu and L. Li, "An algorithm optimization IEGS model considering P2G operation characteristics using particle swarm optimization," 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA), 2022, pp. 164-170, doi: 10.1109/EEBDA53927.2022.9744839.

[7]Yong-Liang Liang, Ke-Jun Li, Chen-Xian Guo, and Ming-Yang Li.Economic Scheduling of Compressed Natural Gas Main Station Considering Critical Peak Pricing[J].Applied Energy,已录用.

[8]Y. Liang, K. Li, Z. Ma and W. Lee.Typical Fault Cause Recognition of Single-Phase-to-Ground Fault for Overhead Lines in Nonsolidly Earthed Distribution Networks[J].IEEE Transactions on Industry Applications, 2020,56(6): 6298-6306.

[9]Y. Liang, K. -J. Li, Z. Ma and W. -J. Lee, "Multi-label Classification Model for Type Recognition of Single-Phase-to-Ground Fault Based on KNN-Bayesian Method," in IEEE Transactions on Industry Applications, doi: 10.1109/TIA.2021.3049766.

[10]梁永亮, 吴跃斌, 马钊*, 等. 新一代低压直流供用电系统在“新基建”中的应用技术分析及发展展望. 中国电机工程学报, 2021, 41(1): 13-24.

[11]Yongliang Liang,Xin Jin,Yongduan Xue,et al.Type Recognition of Single-Phase-To-Ground Fault in Non-Solidly Earthed Distribution Networks[J].International Transactions on Electrical Energy Systems, 2019,29,e12071.

[12]梁永亮,郭汉琮,薛永端.基于特征气体关联特征的变压器故障诊断方法[J].高电压技术,2019,45(02):386-392.

[13]Liang YL,Lin ZR,Li KJ,et al.Priority assessment model of on-line monitoring devices investment for power transformers[J].Journal of Intelligent & Fuzzy Systems,2018,35(01):589-599.

[14]梁永亮,李可军,赵建国,等.变压器在线监测装置配置优先级评估模型[J].电网技术,2016,40(08):2562-2569.

[15]梁永亮,李可军,赵建国,等.变压器油色谱在线监测周期动态调整策略研究[J].中国电机工程学报,2014,34(9):1446-1453.

[16]梁永亮,李可军,牛林,等.一种优化特征选择–快速相关向量机变压器故障诊断方法[J].电网技术,2013,37(11):3262-3267.

[17]梁永亮,李可军,牛林,等.变压器状态评估多层次不确定模型[J].电力系统自动化,2013,37(22):73-78.

[18]马钊, 梁永亮(通讯作者),尚宇炜,张中一.CIGRE SC6 2020专题报道暨主动配电系统发展动向与展望[J/OL].电网技术:1-9[2021-02-01]. https://doi.org/10.13335/j.1000-3673.pst.2020.1750.

[19]杨帆,金鑫,沈煜,梁永亮(通讯作者),等.小电流接地故障多层次分类及其识别模型[J].电力系统自动化,2018,42(15):186-191.

[20]马春艳,段青,郭宸显,梁永亮(通讯作者),等.计及峰谷分时电价的压缩天然气加气母站经济调度[J].高电压技术2021,47(02):584-595.

专利

[1]一种基于趋势分析的变压器潜伏性故障预警方法,ZL201710822442.8. 2020-11-24授权。

[2]基于故障特征气体间关联特征的变压器故障类型识别方法,ZL201810251648.4. 2020-07-28授权。


科研项目

[1]山东省自然科学基金青年项目,变压器绝缘状态参量多元关联特征与故障诊断,No. ZR2019QEE021.(进站时转入山大)

[2]能源互联网多能流耦合特性分析与建模方法研究,国网山东省电力公司电力科学研究院。

[3]能源互联网能源态势实时感知与信息高效互动技术研究,国网山东省电力公司电力科学研究院。 

*更多科研项目见团队概况科研项目


联系方式

liangyl@sdu.edu.cn。


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