张大波,男,工学博士,副教授,硕士生导师,主持国家自然科学青年基金1项,合肥工业大学青年教师创新基金1项、博士后面上项目1项以及电网公司横向课题多项;参与国家重点研发计划2项、国家自然科学基金重点项目1项、国家自然科学基金面上项目1项。担任电网技术、电力系统自动化、IEEE transaction on power system、IEEE transaction on power delivery、IEEE Transactions on Vehicular Technology等期刊审稿人。
研究方向:
电力系统风险评估、电网调度运行优化、知识图谱技术、图机器学习、人工智能算法在电力系统中的应用;
教学工作:
《电力系统稳态分析》、《电网智能调度与控制技术》、《分布式供电与接入技术》
研究生招生:
欢迎电气工程(能源动力)、计算机、数学等相关专业背景学生报考。
发表论文:
[1] Zhang, D., Li, W., and Xiong, X., 'Bidding Based Generator Maintenance Scheduling with Triple-Objective Optimization', Electric Power Systems Research, 2012, 93, pp. 127-134.
[2] Zhang, D., Li, W., and Xiong, X., 'Overhead Line Preventive Maintenance Strategy Based on Condition Monitoring and System Reliability Assessment', IEEE Transactions on Power Systems, 2014, 29, (4), pp. 1839-1846.
[3] Zhang, D., Li, W., Xiong, X., and Liao, R., 'Evaluating Condition Index and Its Probability Distribution Using Monitored Data of Circuit Breaker', Electric Power Components and Systems, 2011, 39, (10), pp. 965-978.
[4] Zhang, D., Lian, S., Tao, W., Liu, J., and Fang, C., 'Operational Reliability Assessment of an Interconnected Power System Based on an Online Updating External Network Equivalent Model with Boundary Pmu', Electronics, 2019, 8, (1).
[5] Zhang, DB., Wang, NJ., Yang, HJ., Ma, YH., He, YG., Tang, W., Wang, JJ., ‘Fast Search Algorithm for Key Transmission Sections Based on Topology Converging Adjacency Matrix’, IEEE ACCESS, 2020.
[6] Gui, Q., Huang, X., Zhang, D., Yang, H., He, Y., Kong, D., The Reactive Power Optimization of Distribution Network Based on Wind Power Output Scenario and Complete-Bus Load, (2016)
[7] Hu, X., Tang, W., Liu, H., Zhang, D., Lian, S., He, Y., Construction of Bulk Power Grid Security Defense System under the Background of Ac/Dc Hybrid Ehv Transmission System and New Energy', Iecon 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, (2017)
[8] Ma, Y., Yang, H., Zhang, D., and Ni, Q., 'Operation Flexibility Evaluation and Its Application to Optimal Planning of Bundled Wind-Thermal-Storage Generation System', Electronics, 2019, 8, (1).
[9] Yang, H., Zhang, Y., Lei, W., Zhang, D., Adequacy Evaluation of Power System with Wind Energy Considering Steady-State Frequency Response, (2018)
[10] Zhu, M., Jia, L., Hu, H., Chen, J., Wu, Z., Zhang, D., He, Y., Ye, H., Retiring Strategies of Transformer Lcc with Reliability of Power Transmission System Considered', Iecon 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, (2017)
[11] Liu, Z. and Zhang, D., 'Protocol Analysis and Data Processing of Gap Sensors in Maglev Train', Dynamics of Continuous Discrete and Impulsive Systems-Series B-Applications & Algorithms, 2006, 13E, pp. 1246-1249.
[12] Liu, Z. and Zhang, D., Fault Data Compression of Power System with Wavelet Neural Network Based on Wavelet Entropy', in Wang, J., Yi, Z., Zurada, J.M., Lu, B.L., and Yin, H. (eds.), Advances in Neural Networks - Isnn 2006, Pt 2, Proceedings, (2006)
[13] Liu, Z., Zhang, Y., and Zhang, D., 'Multiwavelet Neural Network Classification Based on Pre-Processing Methods', Dynamics of Continuous Discrete and Impulsive Systems-Series B-Applications & Algorithms, 2007, 14, pp. 322-326.
[14]王京景,吴旭,王正风,王乃静,张大波.基于多目标模糊优化的抽蓄水火电联合调峰方法[J].电气技术,2019,20(11):33-38+45.
[15]张大波,连帅,陶维青,方陈,柳劲松.基于PMU的电网等值在互联电网运行可靠性评估中的应用[J].电力系统保护与控制,2019,47(15):40-47.
[16]汪磊,杨贺钧,马英浩,张大波.考虑多重评价指标的多时段分时电价优化模型[J].中国电力,2019,52(06):54-59.
[17]张大波,朱志鹏,连帅,杨贺钧,李兴.基于多场景变权多目标优化的UPFC在风电并网系统中的配置方案研究[J].电网技术,2019,43(02):638-645.
[18]张大波,朱志鹏,连帅.考虑发电计划的电网阻塞疏导UPFC配置研究[J].电气技术,2018,19(06):14-19.
[19]汤伟,王京景,杨铖,张大波,刘辉,刘路登.基于支持向量机的大电网运行风险量化评估[J].合肥工业大学学报(自然科学版),2017,40(04):486-491.
[20]吴翔,何怡刚,张大波,张朝龙,张宁.基于最优权重与雷达图的变压器状态评估[J].电力系统保护与控制,2017,45(02):55-60.
[21]桂前进,黄昊,张大波,孔德全.基于全节点负荷断面聚类的无功优化资产配置[J].合肥工业大学学报(自然科学版),2016,39(03):328-332.
[22]张大波,何怡刚.基于状态监测与变电站风险的断路器预防性维修决策[J].电力科学与技术学报,2014,29(03):13-19.
[23]高辉,刘良成,张大波.系统可靠性评估在电力设备维修策略中的应用研究[J].中国电力教育,2013(14):224-225.
[24]张大波,李文沅,熊小伏.基于状态监测的多目标双层优化待修架空线选择模型[J].电力系统自动化,2013,37(02):23-27.
授权发明专利:
[1] 张大波,连帅,朱志鹏,王乃静;基于PMU监测的互联电网子系统运行可靠性评估方法,专利号:ZL 2018 1 0618472.1
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