姓名：张晨曦
性别：女
职称：讲师，硕士生导师
学位：博士
电子邮件：czha2586@163.com；chenxizhang@fzu.edu.cn
研究方向：需求侧能源管理，点对点市场交易，电力系统低碳能源转型，智能电网规划及运行
教育工作经历
2025.07-至今：福州大学，电气工程与自动化学院，讲师，硕士生导师
2020.07-2024.11：悉尼大学，电气与计算机工程学院，博士（全奖直博）
2017.09-2020.01：悉尼大学，电气与计算机工程学院，荣誉学士（Bachelor of engineering honours，专业绩点排名第一）
2015.09-2017.06：哈尔滨工业大学，电气工程及自动化学院，工学学士
科研简介
作为主要研究成员参与澳大利亚研究理事会（ARC）项目、南网和国网公司科技项目等数项科研项目。近五年发表SCI/EI检索论文20余篇。IEEE PES会员，多个国际学术会议分会场主席，同时担任IEEE Transactions on Smart Grid，IEEE Transactions on Sustainable Energy，Applied Energy等数本SCI期刊审稿专家。
学术论文
[1] C. Zhang, J. Qiu, and Y. Yang, “A Peer-to-Peer Joint Kilowatt and Negawatt Trading Framework Incorporating Battery Cycling Degradation,” IEEE Transactions on Power System, vol. 39, no. 5, pp. 6386-6398, Sep. 2024. (中科院一区Top，第一作者)
[2] C. Zhang, J. Qiu, and Y. Yang, “A Two-Stage Adaptive Supply-Demand Management Framework for Microgrids: Aging-Aware Asset Planning and Peer-to-Peer Negawatt Trading,” IEEE Transactions on Power System, vol. 40, no. 4, pp. 3452-3464, Jul. 2025. (中科院一区Top，第一作者)
[3] C. Zhang, J. Qiu, and Y. Yang, “A Two-Stage Time-shiftable Flexible Demand-based Negawatt Trading Framework in Low-voltage Distribution Networks,” Applied Energy, vol. 382, p. 125205, Mar. 2025. (中科院一区Top，第一作者)
[4] C. Zhang, Y. Yang, Y. Wang, J. Qiu, and J. Zhao, “Auction-based peer-to-peer energy trading considering echelon utilization of retired electric vehicle second-life batteries,” Applied Energy, vol. 358, p. 122592, Mar. 2024. (中科院一区Top，第一作者)
[5] C. Zhang, Y. Yang, J. Qiu, J. Lin, and J. Zhang, “Fuzzy Inference-based Power System Planning Considering Collaborative Decarbonization on the Supply-Demand Side,” IEEE Transactions on Industry Applications, 2025, early access, DOI 10.1109/TIA.2025.3605893. (中科院二区，第一作者)
[6] C. Zhang, J. Qiu, Y. Yang, and J. Zhao, “Residential customers-oriented customized electricity retail pricing design,” International Journal of Electrical Power & Energy Systems, vol. 146, p. 108766, Mar. 2023. (中科院二区，第一作者)
[7] C. Zhang, J. Qiu, Y. Yang, and J. Zhao, “Trading-oriented battery energy storage planning for distribution market,” International Journal of Electrical Power & Energy Systems, vol. 129, p. 106848, Jul. 2021. (中科院二区，第一作者)
[8] Y. Yang, C. Zhang, J. Qiu, J. Ruan and J. Zhao, “A Two-Stage Generation Expansion Planning Considering Coal-to-Gas Conversion in Coal-Fired Power Plants,” Energy, 2025, early access, DOI 10.2139/ssrn.4811391.
[9] X. Lu, J. Qiu, Y. Yang, C. Zhang, J. Lin and S. An, “Large language model-based bidding behavior agent and market sentiment agent-assisted electricity price prediction,” IEEE Transactions on Energy Markets, Policy and Regulation, vol. 3, no.2, pp. 223-235, Dec. 2024.
[10] Y. Yang, J. Qiu, and C. Zhang, "Distribution Network Planning Towards a Low-Carbon Transition: A Spatial Temporal Carbon Response Method," IEEE Transactions on Sustainable Energy, vol. 15, no. 1, pp. 429-442, Jul. 2023.
[11] Y. Yang, J. Qiu, C. Zhang, J. Zhao, and G. Wang, “Flexible Integrated Network Planning Considering Echelon Utilization of Second Life of Used Electric Vehicle Batteries,” IEEE Transactions on Transportation Electrification, vol. 8, no. 1, pp. 263–276, Mar. 2022.
[12] Y. Yang, J. Qiu, J. Ma, and C. Zhang, “Integrated grid, coal-fired power generation retirement and GESS planning towards a low-carbon economy,” International Journal of Electrical Power & Energy Systems, vol. 124, p. 106409, Jan. 2021.
[13] S. Zhong, J. Qiu, L. Sun, Y. Liu, C. Zhang, and G. Wang, “Coordinated planning of distributed WT, shared BESS and individual VESS using a two-stage approach,” International Journal of Electrical Power & Energy Systems, vol. 114, p. 105380, Jan. 2020.
[14] C. Zhang, Y. Yang, J. Qiu, J. Ruan, G. Liang, and L. Yang, “Comprehensive Approaches to a Low-Carbon Transition of the Power Grid,” in 2024 IEEE Conference on Energy Internet and Energy System Integration (IEEE EI2 2024), Shenyang, China, Nov. 2024, pp. 4027-4032.
[15] B. Zhang, C. Zhang*, Y. Yang and J. Qiu, “A Scenario-Driven Bi-Level Programming Model for Optimal Distributed Generation Planning: Integrating Fuzzy C-Means (FCM) Clustering and Enhanced Whale Optimization (EWOA),” in 2024 4th International Conference on Smart City and Green Energy (ICSCGE), Sydney, Australia, Dec. 2024, pp. 207-212.
[16] F. Cai, C. Zhang, Y. Yang and J. Qiu, “Optimal Scheduling of Microgrids Using Dual Stage Attention-Based Deep Learning Forecasting Model,” in 2024 4th International Conference on Smart City and Green Energy (ICSCGE), Sydney, Australia, Dec. 2024, pp. 192-197.
[17] F. Xu, H. Huang, C. Zhang, Y. Yang and J. Qiu, “Distribution Network Reconfiguration Considering Battery Lifetime and Demand-Side Response,” in 2024 4th International Conference on Smart City and Green Energy (ICSCGE), Dec. 2024, pp. 150-155.
[18] Y. Yang, C. Zhang*, and J. Qiu, “Low-Carbon System Transition Considering Collaborative Emission Reduction on Supply-Demand Side,” in 2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG), Wollongong, Australia, Dec. 2023, pp. 1–6.
[19] Y. Yang, C. Zhang, and X. Zhu, “Economic and Feasibility Analysis of Planning a Community-connected Micro-grid,” in 2019 9th International Conference on Power and Energy Systems (ICPES), Perth, Australia, Dec. 2019, pp. 1–6.
荣誉奖励
2020-2024年，悉尼大学博士全额奖学金
2022-2023年，悉尼大学电力市场优秀研究生奖学金
2021-2022年，悉尼大学能源系统优秀研究生奖学金
2020年，ClusterTech 公司奖学金（授予悉尼大学工程学院女性绩点第一名）
2019年，悉尼大学一等荣誉学位 & 工程学院专业第一奖章 （University Medal）
2018-2019年，悉尼大学工程学院奖学金
招生计划
每年拟招收电力系统及其自动化专业的学硕、电气工程专业的专硕共2~3名，与悉尼大学、香港中文大学（深圳）、国网福建省电力有限公司等国内外知名高校、企业与研究机构保持紧密合作，研究生将有机会参与电网公司实习项目、国际联合研究，并在此过程中接受系统的科研训练和工程实践锻炼。欢迎对“双碳”战略、新型电力系统建设等前沿问题具有浓厚兴趣的同学加入，成为福州大学数字能源团队的一员（团队负责人：邵振国教授，详情见：https://www.x-mol.com/groups/fzude），与我们共同打造国际化、交叉化、创新型的科研团队。
