·IEEE Member

·CIGRE NGN

·Young expert group of the Journal Center of the Institute of Electronic Technology

Work experience

Personal information

Name:

Liang Yongliang

Gender:

Male

BornDate：1987/01/12

Hometown:

Yantai City, Shandong Province

Professional title:

Associate Researcher

Email：liangyl@sdu.edu.cn

Tel:

Research direction

①Fault Research and Judgment of Smart Distribution Network

②Optimal dispatch of integrated energy system

Academic works

Academic paper:

[1]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，2021,V292，15 June 2021, 116937. (SCI District 1, top)

[2]YongliangLiang, Zhongyi Zhang, Ke-Jun Li, Yu-Chuan Li. New Correlation Features for DGA-Based Transformer Fault Diagnosis Based on Maximal Information Coefficient[J], High Voltage, 2022;7:302–313.(SCI District 1, top)

[3]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. (SCI District 2)

[4]Y. Liang, K. -J. Li, Z. Ma and W. -J. Lee．Multilabel Classification Model for Type Recognition of Single-Phase-to-Ground Fault Based on KNN-Bayesian Method[J]．IEEE Transactions on Industry Applications, 2021，57(2): 1294-1302. (SCI District 2)

[5]Liang Yongliang, Wu Yuebin, Ma Zhao*, etc.. Analysis of application technology and development prospects of new generation low-voltage DC power supply system in “new infrastructure”. Chinese Journal of Electrical Engineering, 2021, 41(1): 13-24.

[6]Yongliang Liang，Xin Jin，Yongduan Xue，et al.Type recognition of single-phase-to-ground faults in nonsolidly earthed distribution networks-architecture and method[J]. International Transactions on Electrical Energy Systems， 2019，29，e12071． (Zone 4，IF：1.692）

[7]Liang Yongliang，Guo Hancong，Xue Yongduan．Transformer fault diagnosis method based on characteristic gas correlation characteristics[J]. High Voltage Technology，2019，45(02)：386-392．

[8]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．(Zone 4, IF: 1.851)

[9]Liang Yongliang，Li Kejun，Zhao Jianguo，Wait. Transformer online monitoring device configuration priority evaluation model[J].，2016，40(08)：2562-2569．

[10]Liang Yongliang，Li Kejun，Zhao Jianguo，Wait. Research on dynamic adjustment strategy of transformer oil chromatography online monitoring cycle[J].，2014，34(9)：1446-1453．

[11]Liang Yongliang，Li Kejun，Niu Lin，etc.．An optimized feature selection-fast correlation vector machine transformer fault diagnosis method[J]． Power Grid Technology，2013，37(11)：3262-3267．

[12]Liang Yongliang，Li Kejun，Niu Lin，Wait. Multi-level uncertainty model for transformer condition assessment[J].，2013，37(22):73-78．

[13]Ma Zhao,Liang Yongliang*,Shang Yuwei,Zhang Zhongyi.CIGRE SC6 2020 special report and development trends and prospects of active power distribution systems[J].Power Grid Technology,2021,45(04):1471-1479.

[14]Ma Chunyan，Duan Qing，Guo Chenxian，Liang Yongliang*，Wait. Economic dispatch of compressed natural gas filling station taking into account peak and valley time-of-use electricity prices [J].，47(02)：584-595.

[15]Yang Fan，Jinxin，Shen Yu，Liang Yongliang*，Wait. Multi-level classification and identification model of small current ground faults[J].，2018，42(15)：186-191．

Patent

[1]A transformer latent fault early warning method based on trend analysis，ZL201710822442.8. Authorized on 2020-11-24。

[2]Transformer fault type identification method based on correlation characteristics between fault characteristic gases，ZL201810251648.4. Authorized on 2020-07-28。

[3]A transformer hot spot temperature prediction method with multi-working condition parameter identification and optimization，ZL 201610323832.6

Technology Reward

[1]Key technologies and applications of data-driven distribution network security and controllability, China Electricity Council, Technical achievements, First Prize of the Province, 2021.

[2]Key technologies and applications for safe and controllable distribution network, State Grid Co., Ltd., Technological progress, Provincial and Ministry Second Prize, 2022.

[3]Key technologies and applications of single-phase ground fault detection and identification based on distribution automation system, State Grid Hubei Electric Power Co., Ltd., Technological progressFirst Prize,  2020.

[4]Research on single-phase ground fault line selection technology of small current grounding system based on power grid big data；First Prize of Dezhou Science and Technology Progress Award，2022.

CommitmentScientific research project

Portrait:

[1]Shandong Provincial Natural Science Foundation Youth Project，Multiple correlation characteristics and fault diagnosis of transformer insulation state parameters.

[2]National Key R&D Plan，Research on converter station-level control methods to prevent multi-infeed DC commutation failure, participate.

Horizontal:

[1]Research on distribution network ground fault identification and protection technology under complex power grid mode.

[2]Medium voltage distribution cableResearch on latent fault detection and location technology.

[3]Research on multi-energy flow coupling characteristics analysis and modeling methods of Energy Internet.

Academic Type