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王永利,男,1980年8月生。2004年6月、2007年3月分别在华北电力大学电力工商管理专业和技术经济及管理专业获得学士、硕士学位,2010年6月在华北电力大学技术经济及管理专业获得博士学位,2011年在中国社科院财经战略研究院进行博士后研究。现就职于华北电力大学经济与管理学院电力经济管理教研室,中国能源研究会能源互联网研究会副秘书长,华北电力大学能源互联网研究中心副主任,华北电力大学电力经济技术分析研究所所长,工信部工业领域电力需求侧管理评价工作推进小组办公室专家组成员,中电联工业领域电力需求侧管理促进中心特约专家,兼任中国技术经济学会理事,北京市运筹学会理事,兼副秘书长,中国系统工程学会资源专委会理事,中国双法学会统筹分会理事。
主要研究方向是电力经济管理,电力规划,电力负荷预测,电力市场,技术经济分析与评价,微电网和分布式电源等。在国内外发表学术论文40余篇,其中被SCI收录17篇,被EI收录25篇,获得省部级科技成果一等奖3项,二等奖2项,获得专利15项,获得软件著作权13项,负责科研项目40多项,包括:1项863项目子课题,1项国家自然科学基金,1项教育部博士点基金,1项博士后基金,北京市社科项目2项,1项中国社科院项目。
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1. 教学课程:
管理学原理,2010年起,32学时,本科生
电力负荷预测,2010年起,32学时,本科生
电力规划,2011年起,32学时,本科生
电力负荷预测课程设计,2013年起,一周,本科生
人因工程,2014年起,24学时,研究生
电力市场,2016年起,24学时,研究生
电力生产管理,2017年起,24学时,研究生
2.学生培养
毕业硕士:韩吉琼、李智、雍明月、杨乐乐、黄玉晶、于海洋、杜瑞婷、陈琳
3. 学生获得荣誉
黄玉晶,北京市普通高等学校优秀毕业生(硕士),2019,导师:王永利
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1. 国家自然科学基金委员会,智能电网中的微网的电力需求侧管理研究,2012.01-2014.12,20万元;
2. 国家863项目子课题,基于分布式能源的微电网建设推广模式和政策适用性分析,2014/1-2016/3,70万元;
3. 国家自然科学基金,区域电网冰冻灾害中的电力线路覆冰预测管理理论研究,2015/1-2018/12,60万元;
4. 中国电力科学研究院,多能互补分布式电源的优化配置方法研究,2017/11-2018/12,35万元;
5. 国网经济技术研究院有限公司,电网诊断及投资测算软件包开发,2017.11-2018.11,84.9万元;
6. 国家电网公司,基于投资能力约束和多环节协调的电网精准投资决策技术研究,2017.08-2018.12,70万元;
7. 华北电力大学,综合能源系统仿真平台开发技术研,2018.01-2020.12,50万元;
8. 北京市社会科学基金项目,新形势下北京市区域综合能源系统集成优化方法与管理体系研究,2018.9-2020.12,8万元;
9. 教育部,构建清洁低碳、安全高效的能源体系政策与机制研究,2018/9-2020/12,80万元;
10. 国家电网公司,城市能源互联网模拟分析模型与综合评价技术研究,2019/1-2020/12,40万元。
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1. 国家能源局,2014年,国家能源局2014年度能源软科学研究优秀成果奖,二等奖,排名4;
2. 中国商业联合会,2014年,全国商业科技进步一等奖,排名8;
3. 国家电网公司,2016年,2016年度软科学成果奖,一等奖,排名15;
4. 中国能源研究会,2017年,2017年中国能源研究会能源创新奖,二等奖,排名8;
5. 中国电力企业联合会,2018年,2018年度电力创新奖,二等奖 ,排名2
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[1] Dongxiao Niu, Yongli Wang, Desheng Dash. Power load forecasting using support vector machine and ant colony optimization[J], Expert Systems with Applications, 2010, 37(3):2531-2539. (IF=3.768 , JCR一区, SCI他引182次, Scopus高被引论文)
[2] Yongli Wang, Yujing Huang, Yudong Wang, Haiyang Yu, et al. Optimal Scheduling of the Regional Integrated Energy System considering economy and environment[J], IEEE Transactions on Sustainable Energy, 2018, PP(99):1-1. (IF:6.235, JCR一区,在线发表)
[3] Yongli Wang, Yudong Wang, Yujing Huang, Fang Li, Ming Zeng, et al. Planning and operation method of the regional integrated energy system considering economy and environment[J], Energy, 2019, 171: 731-750. (IF:4.968, JCR一区)
[4] Yongli Wang, Yujing Huang, Yudong Wang, Ming Zeng, et al. Optimal Scheduling of the RIES considering time-based Demand Response programs with energy price[J], Energy, 2018, 164(1): 773-793. (IF:4.968, JCR一区)
[5] Yongli Wang, Yujing Huang, Yudong Wang, Ming Zeng, et al. Energy management of smart micro-grid with response loads anddistributed generation considering demand response[J], Journal of Cleaner Production, 2018, 197: 1069-1083. (IF:5.651, JCR一区)
[6] Yongli Wang, Xiaohai Wang, Haiyang Yu, Niyigena Baptiste, et al.Optimal design of integrated energy system considering economics, autonomy and carbon emissions[J]. Journal of Cleaner Production, 2019, 225: 563~578. (IF:5.651, JCR一区)
[7] Yongli Wang , Yudong Wang , Yujing Huang, Ming Zeng, Jinrong Zhu, et al. Operation Optimization of Regional Integrated Energy System based on the modeling of Electricity-Thermal-NG Network[J], Applied Energy, 2019. ( IF:6.943, JCR一区, 在线发表)
[8] Yongli Wang, Yujing Huang, Yudong Wang, Fang Li, Yuanyuan Zhang, Chunzheng Tian. Operation Optimization in a Smart Micro-Grid in the Presence of Distributed Generation and Demand Response[J], Sustainability, 2018, 10(3): 847-871. (IF=2.705 , JCR二区)
[9] Yongli Wang, Haiyang Yu, Mingyue Yong, Yujing Huang, Fuli Zhang, Xiaohai Wang. Optimal Scheduling of Integrated Energy Systems with Combined Heat and Power Generation, Photovoltaic and Energy Storage Considering Battery Lifetime Loss[J], Energies, 2018, 11(7):1676-1679. (IF=2.676, JCR三区)
[10] Yongli Wang, Yujing Huang, Yudong Wang, Haiyang Yu, Ruiwen Li, Shanshan Song. Energy Management for Smart Multi-Energy Micro-Grid in the Presence of Demand Response[J], Energies, 2018, 11(4): 974-992. (IF=2.676, JCR三区)
[11] Yongli Wang, Fuli Zhang , Xiaohai Wang, Yuanyuan Zhang, Fuhao Song, Yuze Ma, Shuo Wang. The calculation of Chinese power grid investment capacity based on transmission and distribution tariff policy:A system dynamics approach[J]. Utilities Policy, 2019. ( IF:2.098, JCR三区, 已接收)
[12] Yongli Wang, Fang Li, Haiyang Yu, Yudong Wang.Optimal Operation of Microgrid with Multi Energy Complementary Based on Moth Flame Optimization Algorithm[J]. Energy Sources Part A-Recovery Utilization and Environmental Effects, 2019年3月在线发表. (SCI检索)
[13] Yongli Wang, Haiyang Yu, Xiaohai Wang, Fuli Zhang, et al. Consideration of reliability and economy to Capacity Configuration of energy storage system: Case Study of a large scale wind power plant in the Northwest China[C]// Applied Energy Symposium and Forum 2018, Energy Procedia, 2018, 152. (EI检索)
[14] Dongxiao Niu,Yongli Wang*,Chunming Duan,Mian Xing. A new short-term power load forecasting model based on chaotic time series and SVM[J]. Journal of Universal Computer Science, 2009, 15(13): 2726-2745 . (SCI检索)
[15] Dongxiao Niu,Yongli Wang*. Optimizing of support vector machine forecasting model based on data mining and lyapunov exponents[J]. Journal of Central South University of Technology, 2010, 17(2),406-412.(SCI检索)
[16] Dongxiao Niu, Ling Ji*, Yongli Wang, Da Liu. Echo state network with wavelet in load forecasting. Kybernets,2012,41:1557-1570.(SCI检索)
[17] Xu, Xiaomin; Niu, Dongxiao; Zhang, Lihui,Wang Yongli. Ice Cover Prediction of a Power Grid Transmission Line Based on Two-Stage Data Processing and Adaptive Support Vector Machine Optimized by Genetic Tabu Search,ENERGIES,2017,10(11):126-135.(SCI检索)
[18] Yongli Wang*, Dongxiao Niu, Ling Ji,. Power load forecasting using data mining and knowledge discovery technology[J]. International Journal of Intelligent Information and Database Systems, 2011, 5(5): 452-467. (EI检索)
[19] Yongli Wang*, Dan Shi, Lishan Fan, Jiqiong Han. Research of the Status of Electrical Energy in Energy Consumption in China[J]. Applied Mechanics and Materials, 2014,701: 1369-1375. (EI检索)
[20] Wang, Yongli1*, Niu, Dongxiao. Optimization of support vector machines based on rough sets in seasonal load forecasting[J]. Journal of Information and Computational Science, 2011, 7(5): 1479-1487. (EI检索)
[21] Yongli Wang*, Dongxiao Niu, Xiaoyong Ma. Optimizing of SVM with hybrid PSO and genetic algorithm in power load forecasting[J]. Journal of Networks, 2010, 5(10): 1192-1200. (EI检索)
[22] Yongli Wang*, Dongxiao Niu, Li Ji. Short-term power load forecasting based on IVL-BP neural network technology[J]. Systems Engineering Procedia, 2012, 4:168–174. (EI检索)
[23] Yongli Wang*, Dan Shi, Lishan Fan. Application and Development of Distributed Energy Systems in China[J]. Applied Mechanics and Materials, 2015, 702: 1393-1398. (EI检索)
[24] Liu Lin*,Wang Yongli, Wind Power Load Forcasting Based On Optimized Combination,Journal of Convergence Information Technology, 2012.10,47-57.(EI检索)
[25] Wang, YL*, Fan, LS, Niu, DX. The Improvement of Education Management for "Power Load Forecasting Technology" Curriculum[C]. Proceedings of The 3d International Conference on Applied Social Science Research, 2016,826-828. (ISTP检索)
[26] Wang Yongli,Wang Gang,Zuo Yi,Fan Lisha,The market effectiveness of electricity reform: A case of carbon emissions trading market of Shenzhen city,2017 5th International Conference on Industry, Information System and Material Engineering,JAPAN,2017.1.10-2017.1.12. (EI检索)
[27] Wang Yongli,Yang Lele,Zhang Ying. Research on the Development Strategy of OFO Bicycle Based on SWOT Analysis,4th International Conference on Social Science and Humanity (ICSSH 2017),SPAIN,2017.7.1-2017.7.2.
[28] Liu Lin, Wang Yongli*, Wind Power Load Forecasting Based On Optimized Combination,Journal of Convergence Information Technology, 2012.10,47-57.(EI检索)
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