硕士生培养计划(14版)(待补充)

1、硕士研究生培养方案一、课题组基本情况l 课题组项目见附录2l 课题组论文见附录3l 必读文献见附录4二、主要研究方向2.1 电力系统建模l 同步发电机l 动态等值2.2 含有新能源电网的建模与控制三、培养方案与计划l 培养方案和课程表见附录5l 培养计划表见附录6四、分学期培养计划4.1 第1学期（第1年9月至第2年1月）l 完成课程表规定课程的学习l 熟练掌握计算机及必要软件的使用 C#、Matpower、Psasp、Pscadl 学习有关思维、研究方法论的文献l 粗略浏览相关学科的文献,跨专业同学需补电机学、控制理论、电力工程课程l 了解课题组有关课题4.2 第2学期（第2年2月至第2年8

2、月）l 选定硕士论文课题（选题表附件7，3月中旬由课题组老师一起确定）l 承担课题组助管（2月起）l 完成课程表规定课程的学习l 用英文做一次读书报告（15分钟）l 浏览电力学科的文献50篇以上l 开始参加课题4.3 第3学期（第2年9月至第3年1月）l 完成课程表规定课程的学习l 学习课题相关文献50篇以上l 用英文做一次文献报告（15分钟）l 参加课题组有关课题l 用中文做开题报告（10分钟，1月，格式见附录8）4.4 第4学期（第3年2月至第3年8月）l 交接课题组管理工作（2月起）l 精读文献30篇以上l 参加课题组有关课题l 开展硕士论文工作l 找工作单位l 撰写1篇论文投稿（第3年

3、内）4.5 第5学期（第3年9月至第4年3月）l 开展硕士论文工作n 撰写硕士论文（1月起，格式见附录9、10）l 预答辩，1月l 论文答辩Ø 填写并提交答辩申请，2月中旬Ø 领取论文评阅表并且送评，3月上旬（校内1、校外1，高级职称）Ø 论文答辩，3月下旬（5人，含导师、校内评阅人，高级职称，主席教授，秘书讲师）l 论文及科研工作交接五、纪律要求l 尊重课题组老师，与同学团结协作l 严守考试纪律，严守学术道德l 爱护实验设备，保持实验室清洁卫生，不在实验室吃零食、看视频、网络聊天等l 对老师交办科研、日常事务按期完成，出现问题应在24小时内报告，说明原因l 平时

4、离校、返校应及时通知老师l 发表论文必须经导师审核，并由导师发出，对课题组科研核心技术必须保密l 平时养成良好科研习惯：做好科研记录，定期备份科研程序等资料，对科研程序尽可能详细注释，对装置尽可能详细说明，等等l 留存硕士论文纸质和电子文档l 对课题组书刊资料借还登记，及时归位(附录待添加)附录1、周海强博士简介A.1 学历1. 1992年附录2、项目情况C.1 已完成项目 1.“考虑异步电动机负荷动态特性的电力系统参数两层在线协调优化”, 国家自然科学基金（面上）资助项目，No.，负责人。C.2 在研项目C.3 获奖成果附录3、主要论著目录1 周海强，鞠平，孔德超，杨辉. 基于机电距离的聚类

5、方法在动态等值中的应用. 电力系统自动化，2008，32（3）：14-172 周海强，茆超，鞠平，蔡敏，孙建波，李大虎，李淼，陈谦. 考虑配电网络的综合负荷模型可辨识性分析. 电力系统自动化，2008，32（16）：16-193 附录4、必读文献4.1 方法论1.2 专业基础2 倪以信,陈寿孙,张宝霖. 动态电力系统的理论和分析. 北京: 清华大学出版社, 2002.3 王锡凡等. 现代电力系统分析. 北京：科学出版社，2003.4 Kundur P. Power system stability and control. New York: McGraw-Hill, 1994.5 Taylo

6、r C. Power system voltage stability. New York: McGraw-Hill, 1994.4.3 电力系统建模6 鞠平. 电力系统负荷建模（第二版）. 北京：中国电力出版社，200874.4 电力系统几个重要网址·The Western Electricity Coordinating Council (WECC)·the North American Electric Reliability Council (NERC). ·POWER SYSTEMS ENGINEERING RESEARCH CENTER ·

7、河海大学图书馆IEEE/IEE数据库·电力系统自动化网页，用户名：cccc, 密码：cccc·中国电机工程学报电网技术网页，文章随意下载附录5、开题报告格式一、研究意义二、研究现状1. 论文综述2. 需要进一步研究的问题三、研究内容与技术路线【重点介绍】四、研究进度安排五、参考文献l 至少30篇文献l 其中外文至少50附录6、硕士论文目录举例中文摘要英文摘要第一章 绪论·················&#

8、183;··············································11.1 电力负荷建模的重要意义

9、3;·········································11.2 研究现状·······&

10、#183;·················································&

11、#183;···21.2.1 负荷模型研究概述··········································21.2.2 负荷模

12、型参数的获取·······································51.2.3 可辨识性分析········

13、;······································61.2.4 模型参数辨识方法·········&#

14、183;································71.2.5 负荷特性的分类与综合··············

15、83;·······················81.2.6 负荷建模的工程实践························

16、;···············81.3 本文所做的工作·································

17、;······················91.3.1 负荷建模工程实践中存在的问题························&#

18、183;····91.3.2 本文主要工作···········································1

19、0第二章 电力负荷模型参数辨识粒子群优化法··························122.1 感应电动机动静综合负荷模型结构·················

20、···············122.2 负荷参数辨识的有效方法································&

21、#183;········132.2.1 参数辨识的粒子群优化法（PS）···································132.2.2 PS算法与G

22、A和ES算法的比较····························172.2.3 复合PS法··················&#

23、183;································222.3 参数辨识有效性校验···············

24、;································242.3.1 三阶感应电动机模型···············

25、······························242.3.2 幂指数模型··················

26、;···································292.4 本章总结·············&

27、#183;··············································30第三章 电力负荷干扰判别与模型识别

28、·········································313.1 干扰有效性的判别······

29、3;·············································31 3.1.1 内外干扰的判别··

30、···········································31 3.1.2 干扰大小的判别····&#

31、183;········································323.2 负荷模型结构的识别·······

32、;·······································323.3 实测数据筛选结果········

33、83;···········································333.4 本章总结·····

34、;··················································

35、;···40第四章 电力负荷辨识结果的分类···········································414.1

36、研究意义·················································&#

37、183;··········414.2 负荷模型的分类方法·····································

38、;·············424.2.1 基于参数灵敏度的模糊C聚类法·································&

39、#183;·424.2.2 运动稳定性理论基础·············································43

40、4.2.3 基于感应电动机参数特征值的模糊C聚类法························454.3 本章总结····················&

41、#183;·······································49第五章 电力负荷模型参数实测结果及其影响······

42、83;························425.1 采用原典型参数时对河南电网稳定的影响····················505.1.1 改

43、变所有负荷中感应电动机比例··································505.1.2 改变负荷较集中节点的感应电动机比例·········

44、3;···············515.2 实测负荷动态参数对河南电网稳定的影响·····························545.2.1 现场

45、测量数据辨识结果···········································545.2.2 实测负荷参数对河南电网稳定计算的影响·&#

46、183;·························665.3 本章总结······················

47、3;·····································75第六章 电力负荷参数数据库软件开发·········

48、83;····························776.1 服务器软件···················

49、3;·····························776.2 客户端软件···················

50、;······························776.2.1 历史数据查看·················

51、83;·······················776.2.2 与PSASP数据库的接口·······················&

52、#183;·········816.3 本章总结······································

53、83;·····················82第七章 结论···························&

54、#183;···································836.1 本文的主要研究成果···········

55、3;······································836.2 后续工作展望·········

56、3;·············································84参考文献···

57、3;································································85致谢······