Electric Power ›› 2019, Vol. 52 ›› Issue (3): 133-139.DOI: 10.11930/j.issn.1004-9649.201705013
Previous Articles Next Articles
WANG Zhongjie, WEN Le, YANG Xinmin
Received:
2017-05-02
Revised:
2018-12-12
Online:
2019-03-05
Published:
2019-03-27
CLC Number:
WANG Zhongjie, WEN Le, YANG Xinmin. Applied Research and Prospect of Big Data in Power Plant Intelligence[J]. Electric Power, 2019, 52(3): 133-139.
[1] | MCKINSEY. Big data:The next frontier for innovation, competition, and productivity[R/OL]. (2011-05)[2017-02-17]. https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-the-next-frontier-for-innovation. |
[2] | Gartner:The top ten strategic technology trend for 2012[EB/OL].(2011-11-05)[2017-02-17]. https://www.gartner.com/technology/research/top-10-technology-trends/. |
[3] | 王昭力. 大数据时代下发电集团数字化管控[J]. 中国电力企业管理, 2017(1):58-59 |
[4] | 孙栓柱, 代家元, 周春蕾, 等. 基于大数据的供热机组调峰能力研究与应用[J]. 中国电力, 2016, 49(7):82-85 SUN Shuanzhu, DAI Jiayuan, ZHOU Chunlei, et al. Research and application of regulation capacity of heating units based on big data[J]. Electric Power, 2016, 49(7):82-85 |
[5] | 吕守旭. 基于大数据分析的智能电网降损效果估计模型仿真[J]. 中国电力, 2017, 50(4):172-175 LV Shouxu. Estimation model simulation on the loss-reduction effect of smart grid based on big data analysis[J]. Electric Power, 2017, 50(4):172-175 |
[6] | 耿清华, 马越, 冯治国. 新形势下水力发电企业建设智慧检修的思考[J]. 水电与新能源, 2017(12):44-45, 64 GENG Qinghua, MA Yue, FENG Zhiguo. Development of the intelligent maintenance in hydropower companies under new situations[J]. Hydropower and New Energy,, 2017(12):44-45, 64 |
[7] | 罗军舟, 金嘉晖, 宋爱波, 等. 云计算:体系架构与关键技术[J]. 通信学报, 2011, 32(7):3-21 LUO Junzhou, JIN Jiahui, SONG Aibo, et al. Cloud computing:architecture and key technologies[J]. Journal on Communications, 2011, 32(7):3-21 |
[8] | 李志刚, 朱志军. 大数据:大价值、大机遇、大变革[M].北京:电子工业出版社, 2012:182. |
[9] | 杨新民, 陈丰, 曾卫东, 等. 智能电站的概念及结构[J]. 热力发电, 2015, 44(11):10-13 YANG Xinmin, CHEN Feng, ZENG Weidong, et al. Concept and structure of intelligent power stations[J]. Thermal Power Generation, 2015, 44(11):10-13 |
[10] | 陈世和.智能电站发展现状及展望[C]//智能化电站技术发展研讨暨电站自动化2013年年会论文集.2013:30-40. |
[11] | 杨新民, 高海东, 陈丰. 数字化电厂概念的解析及探讨[J]. 热力发电, 2015, 44(5):99-101 YANG Xinmin, GAO Haidong, CHEN Feng. Discussions on concept of digital power plant[J]. Thermal Power Generation, 2015, 44(5):99-101 |
[12] | 张学孟, 刘智铭. 数字化电厂建设的关键技术及发展[J]. 广东电力, 2012, 25(9):35-38 ZHANG Xuemeng, LIU Zhiming. Key technologies and development of digital power plant construction[J]. Guangdong Electric Power, 2012, 25(9):35-38 |
[13] | 雷军, 叶航军, 武泽胜, 等. 基于开源生态系统的大数据平台研究[J]. 计算机研究与发展, 2017, 54(1):80-93 LEI Jun, YE Hangjun, WU Zesheng, et al. Big-data platform based on open source ecosystem[J]. Journal of Computer Research and Development, 2017, 54(1):80-93 |
[14] | 王远, 陶烨, 蒋英明, 等. 智能电网时序大数据实时处理系统[J]. 计算机应用, 2015, 35(S2):88-92 WANG Yuan, TAO Ye, JIANG Yingming, et al. Real-time processing system for time series big data in smart power grid[J]. Journal of Computer Applications, 2015, 35(S2):88-92 |
[15] | 李志刚, 朱志军. 大数据:大价值、大机遇、大变革[M]. 北京:电子工业出版社, 2012:182. |
[16] | 王大鹏, 杜保华, 孙玺, 等. 锅炉重要部件风险评估与管理技术研究[J]. 热力发电, 2009, 42(9):70-73 WANG Dapeng, DU Baohua, SUN Xi, et al. Risk assessment and management technology of important components in boilers[J]. Thermal Power Generation, 2009, 42(9):70-73 |
[17] | 于新颖, 王浩. 火电厂主要辅机能耗现状与节能潜力分析[J]. 电站辅机, 2009, 108(1):1-4 YU Xinying, WANG Hao. Status of energy consumption and analysis of its potential energy saving of major auxiliary equipment in thermal power plant[J]. Power Station Auxiliary Equipment, 2009, 108(1):1-4 |
[18] | 姜东升. 基于节能环保的大型火电厂热机设备选型优化[J]. 电力建设, 2013, 34(10):84-85 JIANG Dongsheng. Optimization of heat engine equipment selection for large thermal power plant based on energy conservation and environment protection[J]. Electric Power Construction, 2013, 34(10):84-85 |
[19] | 刘旭. 基于大数据的风功率预测模型优化研究与实现[D]. 保定:华北电力大学, 2016:2-5. |
[20] | 中国电机工程学会信息化专委会. 中国电力大数据发展白皮书[R]. 北京:中国电机工程学会. 2013. 3:17-18. |
[1] | WANG Jinfeng, LI Jinpeng, XU Yinliang, LIU Haitao, HE Jinxiong, XU Jianyuan. Distributed Optimization for VPP and Distribution Network Operation Considering Uncertainty and Green Certificate Market [J]. Electric Power, 2025, 58(4): 21-30, 192. |
[2] | Zhiyuan GAO, Weijin ZHUANG, Feng LI, Fang YU, Hong ZHANG, Yan WANG, Min XIA. High Reusability Verification Platform for Artificial Intelligence Applications in Power Grid Dispatching and Control Field [J]. Electric Power, 2025, 58(3): 142-150. |
[3] | Mingbing LI, Qiang LI, Xiyang GUAN, Haoyang ZHOU, Rui LU, Yankun FENG. Market Oriented Low-Carbon Optimal Scheduling of Virtual Power Plants Considering Multiple User-Side Resources Coordination [J]. Electric Power, 2025, 58(2): 66-76. |
[4] | Pingping LUO, Ao SHENG, Jikeng LIN, Zhongyue WANG, Qiben LI, Ping ZHOU. CGAN-Based Load Scenario Generation under Typhoon Weather [J]. Electric Power, 2025, 58(2): 176-185. |
[5] | Ke YANG, Dong WANG, Da LI, Wangjun ZHANG, Ga XIANG, Jun LI. Network Security Risk Assessment Index System and Calculation for Virtual Power Plant [J]. Electric Power, 2024, 57(8): 130-137. |
[6] | Mingjiang WEI, Peng LI, Hao YU, Haoran JI, Guanyu SONG, Wei XI. Experiment Platform of Edge Computing for Digital Distribution Networks [J]. Electric Power, 2024, 57(3): 12-19. |
[7] | Hai QIN, Sheng CHEN, Honglue ZHANG, Tian XIA, Qinfeng MA, Zhanyu DUAN, Wei YAN. Time-based Equivalent Method for Reactive Power Regulation Capacity of Grid-connected Photovoltaic Plant [J]. Electric Power, 2024, 57(2): 27-33. |
[8] | Zhongkai YI, Langbo HOU, Ying XU, Yongfeng WU, Zhimin LI, Junfei WU, Teng FENG, Liu HAN. Aggregation and Operation Key Technology of Virtual Power Plant with Flexible Resources in Electricity Market Environment: Review [J]. Electric Power, 2024, 57(12): 82-96. |
[9] | Jinliang ZHANG, Zeping HU. Inventory Optimization Model of Biomass Power Plant Considering Multiple Uncertainties [J]. Electric Power, 2024, 57(12): 157-168. |
[10] | Jiangfeng ZHANG, Song KE, Wenjin CHEN, Tianyu WANG, Keke ZHENG, Jun YANG. Virtual Synchronous Control Frequency Regulation Strategy for Adjustable Self-standby Rate in Photovoltaic Plants [J]. Electric Power, 2024, 57(11): 108-118. |
[11] | Zongchao YU, Ming WEN, Xianghua LI, Xintao XIE, Hongming YANG. Effective Development and Management Strategy for Distributed Smart Grids Based on Collective Intelligence [J]. Electric Power, 2024, 57(10): 57-68. |
[12] | Tianqi SONG, Zhipeng LV, Zhenhao SONG, Yunting MA, Zhihui ZHANG, Shan ZHOU, Hao LI. Research and Thinking on the Aggregation and Dispatching Control Framework of Virtual Power Plant's Large Scale Flexible Resources [J]. Electric Power, 2024, 57(1): 2-8. |
[13] | Ying ZHOU, Xuefeng BAI, Yang WANG, Min QIU, Chong SUN, Yajie WU, Bin LI. Analysis and Evolution Trend of Temperature-Sensitive Loads for Virtual Power Plant Operation [J]. Electric Power, 2024, 57(1): 9-17. |
[14] | Rui ZHU, Yiding OU, Xiaotian LI, Xingyu LEI, Yuqing ZHOU, Poyang ZHANG, Rui OU. Evaluation of Virtual Power Plant Flexibility Resources Based on External Characteristic Equivalence [J]. Electric Power, 2024, 57(1): 30-39. |
[15] | Mengfei XIE, Gaoquan MA, Bin LIU, Zhenning PAN, Yunfeng SHANG. Virtual Power Plant Quotation Strategy Based on Information Gap Decision Theory [J]. Electric Power, 2024, 57(1): 40-50. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||