電力系統(tǒng)研究所
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姓名:呂天光

出生年月: 1990年5月

職稱: 教授

職務(wù): 教師

Email: tlu@sdu.edu.cn,tlu@seas.harvard.edu

系所與團(tuán)隊(duì):

電力系統(tǒng)研究所

電力系統(tǒng)經(jīng)濟(jì)運(yùn)行團(tuán)隊(duì)

山東省數(shù)字智慧能源創(chuàng)新重點(diǎn)實(shí)驗(yàn)室


學(xué)術(shù)身份:

1. 教授、博士生導(dǎo)師,山東省數(shù)字智慧能源創(chuàng)新重點(diǎn)實(shí)驗(yàn)室副主任

2. 國家自然科學(xué)聯(lián)合基金(重點(diǎn))項(xiàng)目負(fù)責(zé)人;中國工程院“中國工程前沿杰出青年學(xué)者”;中國科協(xié)“青年人才托舉工程”入選者;首屆山東省優(yōu)秀青年科學(xué)基金(海外)獲得者

3. 《IEEE Transactions on Power Delivery》副編輯;《Protection and Control of Modern Power Systems》編委;《CSEE Journal of Power and Energy Systems》青年學(xué)科編輯;《IET Renewable Power Generation》副編輯;《電力自動(dòng)化設(shè)備》、《中國電力》青年編委;多個(gè)國內(nèi)外專刊特約編輯

4. IEEE PES輸配電技術(shù)委員會(huì)秘書;IEEE PC57.145 工作組秘書;中國電機(jī)工程學(xué)會(huì)區(qū)塊鏈專委會(huì)委員;中國電工技術(shù)學(xué)會(huì)主動(dòng)配電網(wǎng)及分布式電源專委會(huì)委員;中國能源研究會(huì)電能技術(shù)專委會(huì)委員;中國電力科學(xué)研究院期刊中心青年專家團(tuán)成員;山東省國家知識(shí)產(chǎn)權(quán)保護(hù)中心人才專家

5. IEEE/IET等多個(gè)國際會(huì)議的會(huì)議主席/程序委員會(huì)主席/出版主席/分會(huì)主席/特邀報(bào)告;Nature子刊等十余個(gè)國內(nèi)外頂級(jí)期刊審稿人

6. 國際注冊(cè)工程師(CEng);IEEE Senior Member;中國電機(jī)工程學(xué)會(huì)/中國電工技術(shù)學(xué)會(huì)高級(jí)會(huì)員


主要工作經(jīng)歷:

2025至今,山東省數(shù)字智慧能源創(chuàng)新重點(diǎn)實(shí)驗(yàn)室 副主任

2020至今,山東大學(xué) 教授

2020至今,美國哈佛大學(xué)(Harvard University) 客座研究員

2018-2020,美國哈佛大學(xué)(Harvard University) 博士后

2016-2017,美國德州大學(xué)阿靈頓分校/愛荷華州立大學(xué)/南衛(wèi)理公會(huì)大學(xué)(The University of Texas at Arlington/Iowa State University/Southern Methodist University) 訪問學(xué)者

2015,北京ABB有限公司 項(xiàng)目工程師

2013-2018,上海交通大學(xué) 電氣工程 博士

2016-2018,美國佐治亞理工學(xué)院(Georgia Institute of Technology) 計(jì)算機(jī)科學(xué) 碩士

2009-2013,山東大學(xué) 電氣工程 學(xué)士


研究方向:

電力系統(tǒng)運(yùn)行優(yōu)化與智能感知,智能配電分層調(diào)控,可再生能源并網(wǎng),電力市場,能源經(jīng)濟(jì)與政策


學(xué)術(shù)著作:

錄用/發(fā)表包括Nature子刊(一作)在內(nèi)的SCI/EI論文100余篇,入選ESI高被引/熱點(diǎn)論文10篇次,出版一作、編委專著3部,授權(quán)國內(nèi)/國際專利20余項(xiàng),主編1項(xiàng)國際標(biāo)準(zhǔn),參編1 項(xiàng)國家標(biāo)準(zhǔn)。每年部分成果如下(*為通訊作者):

1. 專著

[1]Tianguang Lu, M. Yang, Y. Guo, Q. Ai, R. Hao. “Operation modeling and collaborative regulation of distributed energy grid clusters.” Springer, 2025.

[2]呂天光,艾芊. “微電網(wǎng)群分層調(diào)控技術(shù).” 上海科學(xué)技術(shù)出版社,2022.

2. 期刊論文

[1] X. Yi,Tianguang Lu*, Y. Li, Q. Ai. “Collaborative planning of multi-energy systems integrating complete hydrogen energy chain.” Renewable and Sustainable Energy Reviews, 2025. (發(fā)表,SCI,IF:16.3

[2]Tianguang Lu*, X. Yi, J. Li, S. Wu. “Collaborative planning of integrated hydrogen energy chain multi-energy systems: A review.” Applied energy, 2025.(發(fā)表,SCI,IF:11

[3] H. Liu,Tianguang Lu*, Y. Yang, Y. Guo, Q. Wu, X. Xu, H. Zeng. “Blockchain-based optimization of operation and trading among multiple microgrids considering market fairness.” International Journal of Electrical Power & Energy Systems, 2025. (發(fā)表,SCI,IF:5

[4] 吳欽政,呂天光*,劉衛(wèi)東,高揚(yáng),武少聰,張宇昊,郭宇. “機(jī)理-數(shù)據(jù)融合驅(qū)動(dòng)的變壓器匝間故障診斷研究.” 中國電機(jī)工程學(xué)報(bào), 2025.(發(fā)表,EI

[5] E. Yaghoubi, E. Yaghoubi, A. Khamees, D. Razmi,Tianguang Lu*. “A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior.” Engineering Applications of Artificial Intelligence, 2024.(發(fā)表,SCI,IF:8

[6] J. Li,Tianguang Lu*, X. Yi, R. Hao, Q. Ai, Y. Guo, M. An, S. Wang, X. He, Y. Li. “Concentrated solar power for a reliable expansion of energy systems with high renewable penetration considering seasonal balance.” Renewable Energy, 2024.(發(fā)表,SCI,IF:9.1

[7] J. Li,Tianguang Lu*, X. Yi, M. An, R. Hao. “Energy systems capacity planning under high renewable penetration considering concentrating solar power.” Sustainable Energy Technologies and Assessments, 2024.(發(fā)表,SCI,IF:7

[8] H. Cheng,Tianguang Lu*, R. Hao, J. Li, Q. Ai. “Incentive-based demand response optimization method based on federated learning with a focus on user privacy protection.” Applied Energy, 2024.(發(fā)表,SCI,IF:11

[9] S. Wang,Tianguang Lu*, R. Hao, F. Wang, T. Ding, J. Li, X. He, Y. Guo, X. Han. “An Identification Method for Anomaly Types of Active Distribution Network Based on Data Mining.” IEEE Transactions on Power Systems, 2023.(發(fā)表,SCI,IF:7.2

[10] D. Razmi,Tianguang Lu*, B. Papari, E. Akbari, G. Fathi and M. Ghadamyari. “An overview on power quality issues and control strategies for distribution networks with the pres ence of distributed generation resources.” IEEE Access, 2023.(發(fā)表,SCI,IF:3.6

[11]Tianguang Lu, X. Chen, M. B. McElroy, C. P. Nielsen, Q. Wu, H. He, and Q. Ai. “A reinforcement learning-based decision system for electricity pricing plan selection by smart grid end users.” IEEE Transactions on Smart Grid,2022. (發(fā)表,SCI,IF:9.8

[12]Tianguang Lu*, R. Hao, Q. Ai, and H. He. “Distributed online dispatch for microgrids using hierarchical reinforcement learning embedded with operation knowledge.” IEEE Transactions on Power Systems,2022. (發(fā)表,IF:7.2

[13] R. Hao,Tianguang Lu*, Q. Ai, H. He. “Data-oriented distributed demand response optimization with global inequality constraints based on multi-agent system.” International Journal of Electrical Power & Energy Systems, 2021.(發(fā)表,SCI,IF:5

[14]Tianguang Lu, P. Sherman, X. Chen, S. Chen, X. Lu, and M. B. McElroy. “India’s potential for integrating solar and on- and offshore wind power into its energy system.” Nature Communications, 2020. (發(fā)表,nature子刊,IF:15.7

[15] R. Hao,Tianguang Lu*, and Q. Ai. “Distributed online learning and dynamic robust standby dispatch for networked microgrids.” Applied Energy, 2020.(發(fā)表,SCI,IF:11

[16] F. Xiao,Tianguang Lu*, Q. Ai, X. Wang, X. Chen, S. Fang, and Q. Wu. “Design and implementation of a data-driven approach to visualizing power quality.” IEEE Transactions on Smart Grid, 2020.(發(fā)表,SCI,IF:9.8

[17] S. Yin, Q. Ai, Z. Li, Y. Zhang, andTianguang Lu*. “Energy management for aggregate prosumers in a virtual power plant: A robust Stackelberg game approach.” International Journal of Electrical Power & Energy Systems, 2020.(發(fā)表,SCI,IF:5

[18]Tianguang Lu, Z. Wang, J. Wang, Q. Ai, and C. Wang. “A data-driven stackelberg market strategy for demand response-enabled distribution systems.” IEEE Transactions on Smart Grid, 2019.(發(fā)表,SCI,IF:9.8

[19] R. Hao,Tianguang Lu*, Q. Wu, X. Chen, and Q. Ai. “Distributed piecewise approximation economic dispatch for regional power systems under non-ideal communication.” IEEE Access, 2019.(發(fā)表,SCI,IF:3.6

[20] Y. Zhang, Q. Ai, F. Xiao, R. Hao, andTianguang Lu*. “Typical wind power scenario generation for multiple wind farms using conditional improved Wasserstein generative adversarial network.” International Journal of Electrical Power & Energy Systems, 2019.(發(fā)表,SCI,IF:5

[21] F. Xiao,Tianguang Lu, M. Wu, and Q. Ai. “Maximal overlap discrete wavelet transform and deep learning for robust denoising and detection of power quality disturbance.” IET Generation Transmission & Distribution, 2019.(發(fā)表,SCI,IF:2.6

[22] F. Shen, J. C. López, Q. Wu, M. J. Rider,Tianguang Lu, N. D. Hatziargyriou. “Distributed self-healing scheme for unbalanced electrical distribution systems based on alternating direction method of multipliers.” IEEE Transactions on Power Systems, 2019.(發(fā)表,SCI,IF:7.2

[23] H. He, D. Luo, W. Lee, Z. Zhang, Y. Cao, andTianguang Lu. “A contactless insulator contamination levels detecting method based on infrared images features and RBFNN.” IEEE Transactions on Industry Applications, 2019.(發(fā)表,SCI,IF:4.5

[24]Tianguang Lu*, Q. Ai, and Z. Wang. “Interactive game vector: A stochastic operation-based pricing mechanism for smart distribution systems with coupled-microgrid.” Applied Energy, 2018.(發(fā)表,SCI,IF:11

[25]Tianguang Lu, W. Lee, Q. Ai, and S. Lu. “A priority decision making-based biding strategy for interactive aggregators.” IEEE Transactions on Industry Applications, 2018.(發(fā)表,SCI,IF:4.5

[26]Tianguang Lu*, Z. Wang, Q. Ai, and W. Lee. “Interactive model for energy management of clustered microgrids.” IEEE Transactions on Industry Applications, 2017.(發(fā)表,SCI,IF:4.5

[27]Tianguang Lv* and Q. Ai. “Interactive energy management of networked microgrids-based active distribution system considering large-scale integration of renewable energy resources.” Applied Energy, 2016.(發(fā)表,SCI,IF:11

[28]Tianguang Lv*, Q. Ai, and Y. Zhao. “A bi-level multi-objective optimal operation of grid-connected microgrids.” Electric Power Systems Research, 2016.(發(fā)表,SCI,IF:4.2

[29] K. Yu, S. Wang, Q. Ai, J. Ni, andTianguang Lv. “Analysis and optimization of droop controller for microgrid system based on small-signal dynamic model.” IEEE Transactions on Smart Grid, 2016.(發(fā)表,SCI,IF:9.8

[30]呂天光*,艾芊,孫樹敏,程艷,趙媛媛. “含多微網(wǎng)的主動(dòng)配電系統(tǒng)綜合優(yōu)化運(yùn)行行為分析與建模.” 中國電機(jī)工程學(xué)報(bào), 2016.(發(fā)表,EI



部分獲獎(jiǎng):

2025,日內(nèi)瓦國際發(fā)明展金獎(jiǎng)首位

2024,中國工程院“中國工程前沿杰出青年學(xué)者”

2024,中國產(chǎn)學(xué)研合作創(chuàng)新獎(jiǎng)

2023,新疆維吾爾自治區(qū)科技進(jìn)步二等獎(jiǎng)首位

2023,《電機(jī)工程學(xué)報(bào)》優(yōu)秀審稿專家

2022,中國電力科技創(chuàng)新獎(jiǎng)二等獎(jiǎng)

2021,中國電力科技創(chuàng)新獎(jiǎng)一等獎(jiǎng)首位

2021,山東電力科學(xué)技術(shù)進(jìn)步獎(jiǎng)三等獎(jiǎng)

2021、2022,《電網(wǎng)技術(shù)》優(yōu)秀審稿專家

2020,山東電機(jī)工程學(xué)會(huì)五四優(yōu)秀青年科技工作者

2019,IEEE工業(yè)應(yīng)用協(xié)會(huì)最佳論文獎(jiǎng)

2019,上海交通大學(xué)優(yōu)秀博士學(xué)位論文

2017,IEEE工業(yè)應(yīng)用協(xié)會(huì)最佳論文獎(jiǎng)

2017,中國電機(jī)工程學(xué)報(bào)年度優(yōu)秀作者

2014,山東省優(yōu)秀學(xué)位論文



主要科研項(xiàng)目:

[1]. 國家自然基金

[2]. 山東省優(yōu)秀青年科學(xué)基金(海外)

[3]. 中國科協(xié)“青年人才托舉工程”

[4]. 國網(wǎng)總部科技項(xiàng)目

[5]. 美國能源部研究項(xiàng)目

[6]. China 2030/2050: Energy and Environmental Challenges for the Future,HarvardGlobal Institute

[7]. 山東大學(xué)“齊魯青年學(xué)者”建設(shè)項(xiàng)目


招生類型:

學(xué)術(shù)型和專業(yè)型的碩士/博士研究生。

課題組與國內(nèi)外著名高校和研究機(jī)構(gòu)具有良好合作關(guān)系,關(guān)注學(xué)科交叉。有志于攻讀相關(guān)研究方向的碩士/博士研究生以及科研助理/博士后,請(qǐng)郵件聯(lián)系

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