個(gè)人信息：

梁永亮，山東煙臺(tái)人，1987年生

學(xué)術(shù)身份：

博士后

國際大電網(wǎng)委員會(huì)青年專家組織成員

IEEE Member

工作經(jīng)歷：

2019.12 -- 至今

山東大學(xué)

2015.11 -- 2019.12

中國石油大學(xué)（華東）

研究方向：

有源配電網(wǎng)態(tài)勢感知：潛伏性故障辨識(shí)、漸進(jìn)型故障預(yù)測等。

基于AI的電力設(shè)備故障診斷。

綜合能源系統(tǒng)優(yōu)化調(diào)度等。

學(xué)術(shù)著作（部分）：

代表性論文

[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，已錄用.

[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, 吳躍斌, 馬釗*, 等. 新一代低壓直流供用電系統(tǒng)在“新基建”中的應(yīng)用技術(shù)分析及發(fā)展展望. 中國電機(jī)工程學(xué)報(bào), 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，郭漢琮，薛永端．基于特征氣體關(guān)聯(lián)特征的變壓器故障診斷方法[J]．高電壓技術(shù)，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，李可軍，趙建國，等．變壓器在線監(jiān)測裝置配置優(yōu)先級(jí)評(píng)估模型[J]．電網(wǎng)技術(shù)，2016，40(08)：2562-2569．

[15]梁永亮，李可軍，趙建國，等．變壓器油色譜在線監(jiān)測周期動(dòng)態(tài)調(diào)整策略研究[J]．中國電機(jī)工程學(xué)報(bào)，2014，34(9)：1446-1453．

[16]梁永亮，李可軍，牛林，等．一種優(yōu)化特征選擇–快速相關(guān)向量機(jī)變壓器故障診斷方法[J]．電網(wǎng)技術(shù)，2013，37(11)：3262-3267．

[17]梁永亮，李可軍，牛林，等．變壓器狀態(tài)評(píng)估多層次不確定模型[J]．電力系統(tǒng)自動(dòng)化，2013，37(22)：73-78．

[18]馬釗, 梁永亮(通訊作者)，尚宇煒,張中一.CIGRE SC6 2020專題報(bào)道暨主動(dòng)配電系統(tǒng)發(fā)展動(dòng)向與展望[J/OL].電網(wǎng)技術(shù):1-9[2021-02-01]. https://doi.org/10.13335/j.1000-3673.pst.2020.1750.

[19]楊帆，金鑫，沈煜，梁永亮(通訊作者)，等．小電流接地故障多層次分類及其識(shí)別模型[J]．電力系統(tǒng)自動(dòng)化，2018，42(15)：186-191．

[20]馬春艷，段青，郭宸顯，梁永亮(通訊作者)，等．計(jì)及峰谷分時(shí)電價(jià)的壓縮天然氣加氣母站經(jīng)濟(jì)調(diào)度[J]．高電壓技術(shù)2021，47(02)：584-595.

專利

[1]一種基于趨勢分析的變壓器潛伏性故障預(yù)警方法，ZL201710822442.8. 2020-11-24授權(quán)。

[2]基于故障特征氣體間關(guān)聯(lián)特征的變壓器故障類型識(shí)別方法，ZL201810251648.4. 2020-07-28授權(quán)。

科研項(xiàng)目

[1]山東省自然科學(xué)基金青年項(xiàng)目，變壓器絕緣狀態(tài)參量多元關(guān)聯(lián)特征與故障診斷，No. ZR2019QEE021.（進(jìn)站時(shí)轉(zhuǎn)入山大）

[2]能源互聯(lián)網(wǎng)多能流耦合特性分析與建模方法研究，國網(wǎng)山東省電力公司電力科學(xué)研究院。

[3]能源互聯(lián)網(wǎng)能源態(tài)勢實(shí)時(shí)感知與信息高效互動(dòng)技術(shù)研究，國網(wǎng)山東省電力公司電力科學(xué)研究院。 

*更多科研項(xiàng)目見團(tuán)隊(duì)概況—科研項(xiàng)目

聯(lián)系方式

liangyl@sdu.edu.cn。