个人简历

包哲静，山东大学工业电气自动化专业本科（1992年-1996年）、山东大学控制理论与控制工程专业硕士（1996年-1999年）、烟台东方电子信息产业有限公司软件开发工程师（1999年-2004年）、浙江大学控制科学与工程专业博士（2004年-2007年），浙江大学电气工程专业博士后（2007年-2009年），浙江大学电气工程学院副教授（2009年至今），2011年6月至2011年9月在挪威Simula Research Laboratory做访问学者。
近年来，在相关研究领域已发表论文60余篇，其中SCI收录论文20余篇。这些论文发表在《IEEE Transactions on Power Systems》、《IEEE Transactions on Smart Grid》、《IET Generation Transmission and Distribution》、《Asian Journal of Control》、《Transaction of the Institute of Measurement and Control》、《Physics Letters A》、《Physica A:Statistical Mechanics and its Applications》、《物理学报》、《控制理论与应用》、《电力系统自动化》、《电力自动化设备》等国内外知名期刊。曾主持国家自然科学基金项目2项，863项目子课题1项，浙江省自然科学基金重点项目1项，浙江省自然科学基金面上项目1项，中国博士后科学基金项目1项，企业横向项目5项，参与973、863项目多项。2009年以独立完成人获得浙江省高校科研成果奖二等奖，2011年获得教育部科技进步二等奖。授权国家发明专利4项、实用新型专利多项、申请国际专利1项。
专利成果
（1）一种基于多智能体协同寻优的含光伏微源主动配网拓扑重构方法，发明专利，中国，CN201410208796.X，已授权
（2）基于切换系统多步预测控制的三相电压型变流器控制方法，发明专利，中国，CN201310257303.7，已授权
（3）基于混合人工智能的主动配电网动态拓扑重构方法，发明专利，中国，CN201310705852.6，已授权
（4）槽式反应器基于多核支持向量机的非线性预测控制方法，发明专利，中国，CN200710071180.2，已授权
（5）接入分布式光伏发电的配电网检修计划优化方法，发明专利，中国，CN201610048232.3，已申请
（6）集成式智能插座，实用新型，201120059635.0，已授权
（7）System,method and apparatus for integrated multi-energy scheduling in a micro-grid and a tangible computer readable medium,PCT/CN2013/081408,申请国际专利
教学与课程
1.控制理论（乙）
2.现代控制技术讲座
工作研究项目
1.大电网安全性评估的系统复杂性理论研究，科技部“973”（中国电力科研究院），2004-01-01~2009-12-31
2.复杂网络连锁故障识别及智能控制方法研究，国家自然科学基金委员会，2009-01-01~2011-12-31
3.复杂网络连锁故障多时间尺度的防御与控制策略，浙江省自然科学基金会，2011-01-01~2012-12-31
4.海上风电送出系统设计技术研究，科技部，2012-01-01~2014-12-31
5.多类型储能系统协调控制技术及示范，科技部，2012-01-01~2014-12-31
6.考虑多种分布式能源的微网的调度优化模型的设计开发与运行方式研究，埃森哲（中国）有限公司，2012-9-01~2013-3-31
7.风力发电机组齿轮箱混杂故障智能综合辨识与复合诊断研究，国家自然科学基金委员会，2013-1-1~2016-12-31
8.智能电网含分布式能源的微网多能源容量规划，埃森哲（中国）有限公司，2013-08-01~2014-04-30
9.用户侧错峰资源聚类后的综合潜力评估及调度方法研究，国网电科院，2016-06-01~2017-05-30
10.基于开关量和电气量融合的电力系统故障诊断技术研究，浙江省自然科学基金会，2015-01-1~2018-12-31
11.多能源耦合系统中的连锁故障演变机理及防御策略研究，国家自然科学基金委员会，2018-0101~2021-12-31
奖励荣誉
2009年获得浙江省高校科研成果奖二等奖
2011年获得教育部科技进步二等奖

研究领域

复杂综合能源系统的建模与优化
人工智能在电力大数据中的应用"能源互联网的建模与优化调度、人工智能在电力系统中的应用。"

近期论文

1.Dynamics of load entropy during cascading failure propagation in scale-free networks[J]，PHYSICS LETTERS A，2008，372(36)，5778-5782
2.Synergetic behavior in the cascading failure propagation of scale-free coupled map lattices[J]，PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS，2008，387(23)，5922-5929
3.Cascading failures in local-world evolving networks[J]，JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A，2008，9(10)，1336-1340
4.Analysis of cascading failure in electric grid based on power flow entropy[J]，PHYSICS LETTERS A，2009，373(34)，3032-3040
5.一种复杂电力网络时空演化模型[J]，电力自动化设备，2009,29(1):1-5
6.考虑网络演化的直流潮流停电模型与自组织临界性分析[J]，电力系统自动化，2009,33（5），1-6
7.Comparison of cascading failures in small-world and scale-free networks subject to vertex and edge attacks[J]，PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS，2009，388(20)，4491-4498
8.A novel local-world evolving network model for power grid[J]，ACTA PHYSICA SINICA，2009，58(6)，3597-3602
9.Stability of the spreading in small-world network with predictive controller[J]，PHYSICS LETTERS A，2010，374(13-14)，1560-1564
10.Control of cascading failures in coupled map lattices based on adaptive predictive pinning control[J]，JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS&ELECTRONICS，2011，12(10)，828-835
11.RISK ASSESSMENT OF ATTACK-INDUCED CASCADE IN COMPLEX NETWORKS[J]，INTERNATIONAL JOURNAL OF MODERN PHYSICS C，2011，22(8)，765-773
12.输电线路开断状态信息传输失真对连锁故障的影响[J],电力系统自动化,2012,36(24):4-9
13.Improved synchronization criteria for a class dynamical complex network with internal delay[J],Transaction of the Institute of Measurement and Control 2012，34(8),927-936
14.Predictive control of switching system for DC/AC converter[C],2012 3rd International Conference on Advances in Materials and Manufacturing Processes,ICAMMP 2012,Beihai,China，2012.12.22-2012.12.23
15.Optimization control of icestorage air-conditioning system[C],2012 3rd International Conference on Advances in Materials and Manufacturing Processes,ICAMMP2012,Beihai,China，2012.12.22-2012.12.23
16.电力系统和通信网络交互影响下的连锁故障分析[J],电力自动化设备,2013，33(1):7-11
17.H∞control synthesis for Lurie networked control systems with multiple delays based on the non-uniform characteristic[J].Asian Journal of Control.2013,15(4),1112–1123
18.A comparative study between IPSO and MIP for co-ordinated scheduling of electricity and heat within a microgrid[J].Transaction of the Institute of Measurement and Control.2013,35(4),444-456
19.Coordinated Energy Dispatching in Microgrid With Wind Power Generation and Plug-in Electric Vehicles[J].IEEE Trans.On Smart Grid.Sep.2013,4(3),1453-1463
20.A co-ordinated dispatch model for electricity and heat in a Microgrid via particle swarm optimization[J].Transaction of the Institute of Measurement and Control.2013,35(1),44-55
21.Control strategy for a hybrid energy storage system to mitigate wind power fluctuations[C]，2013 6th International Conference on Advanced Computational Intelligence,ICACI 2013,Hangzhou,Zhejiang,China,2013.10.19-2013.10.21
22.Equivalent model and static var compensation for offshore wind farm implemented on PSCAD/EMTDC[C],2013 10th IEEE International Conference on Control and Automation,ICCA 2013,Hangzhou,China,2013.6.12-2013.6.14
23.Improved delay-dependent stability criteria for time-delayed neural networks[C]，2013 10th IEEE International Conference on Control and Automation,ICCA 2013,Hangzhou,China，2013.6.12-2013.6.14
24.Time-Scale and Multi Energy-Type Coordinated Microgrid Scheduling Solution—Part I:Model and Methodology[J],IEEE Transactions on Power Systems,2015,30(5),2257-2266
25.Time-Scale and Multi Energy-Type Coordinated Microgrid Scheduling Solution—Part II:Optimization Algorithm and Case Studies[J],IEEE Transactions on Power Systems，2015,30(5),2267-2277
26.Day-ahead scheduling of Microgrid with multi energy-type supply considering uncertainty interval[C],ICIA 2015,Lijiang Yunnan,2015.8.8-2015.8.10
27.Clustering approach and characteristic indices for load profiles of customers using data from AMI[C]，2016 China International Conference on Electricity Distribution,CICED 2016，Xi'an,China，2016.8.10-2016.8.13
28.Deep learning neural network for power system fault diagnosis[C]，35th Chinese Control Conference,CCC2016,Chengdu,China,2016.7.27-2016.7.29
29.Fault diagnosis based on deep learning[C],2016 American Control Conference,ACC 2016，Boston,MA,United states，2016.7.6-2016.7.8
30.Dynamic reconfiguration of distribution network with PV generation prediction based on credibility theory[C],28th Chinese Control and Decision Conference,CCDC 2016,Yinchuan,China，2016.5.28-2016.5.30
31.Optimal Capacity Planning of MG with Multi-Energy Coordinated Scheduling under Uncertainties Considered[J],IET Generation Transmission and Distribution,2017,11(17),4146-4157
32.Model predictive control considering scenario optimisation for microgrid dispatching with wind power and electric vehicle[C],the 6th International Conference on Renewable Power Generation(RPG),Wuhan China,2017.10.19-2017.10.20
33.Mitigating Uncertain RESs in Integrated Energy System Considering Line Pack of Gas[C],2017 IEEE Conference on Energy Internet and Energy System Integration(EI2),Beijing,China,2017.11.27-2017.11.28
34.Adaptively Constrained Stochastic Model Predictive Control for the Optimal Dispatch of Microgrid[J],Energies,2018,11(1)
35.Short-Term Line Maintenance Scheduling of Distribution Network with PV Penetration Considering Uncertainties[J],IEEE Access,2018,6,33621-33630
36.Optimal Planning of Gas Storage in Natural Gas System Considering N-1 Failures of Pipelines[C],2018 2nd IEEE Conference on Energy Internet and Energy System Integration(EI2 2018),Beijing,China,2018.10.20-2018.10.22
37.Optimal Multi-Timescale Demand Side Scheduling Considering Dynamic Scenarios of Electricity Demand[J],IEEE Transactions on Smart Grid,2019,10(3),2428-2439
38.Optimal inter-and intra-hour scheduling of islanded integrated-energy system considering linepack of gas pipelines[J],Energy,2019,171,326-340
39.Integrated coordination scheduling framework of electricity-natural gas systems considering electricity transmission N-1 contingencies and gas dynamics[J],Jounal of Modern Power Systems and Clean Energy,2019