New Energy Intelligent Operation Supervision Technology Based on Big Data Platform

ZHANG Shuxiao

Distributed Energy ›› 2022, Vol. 7 ›› Issue (1) : 74-82.

PDF(3034 KB)
PDF(3034 KB)
Distributed Energy ›› 2022, Vol. 7 ›› Issue (1) : 74-82. DOI: 10.16513/j.2096-2185.DE.2207110
Application Technology

New Energy Intelligent Operation Supervision Technology Based on Big Data Platform

Author information +
History +

Abstract

In order to highlight the role of big data platform in remote monitoring, digital intelligent operation and maintenance and decision-making of new energy power stations, solve the problems of "large but not precise" big data of new energy, lack of in-depth big data analysis and intelligent application, and can not effectively guide production operation and maintenance, relying on the construction of China Datang Group new energy big data platform, This paper proposes a new energy digital intelligent operation monitoring technology based on big data platform. By establishing a group of wind power, photovoltaic production data quality standardization system, realizing the standardization of operational data collection code edge side edge computing and distributed algorithm model, adopted in the cloud side of "cloud synergy" architecture, quality of monitoring data, generate the production application processing scheme, in order to realize the actual should be real-time monitoring indices such as output. At the same time, the intelligent analysis platform, system optimization platform, expert support platform and resource evaluation platform for the intelligent operation of new energy are developed, and the "comprehensive physical examination-system optimization-analysis of difficult diseases-resource data support" are successively completed. Build an industry-leading digital intelligent operation monitoring platform based on the construction of "monitoring area" and "functional area" , and realize the multi-domain digital intelligent operation and supervision of new energy at the three levels of "group, region and station" . It can provide reference for the construction of intelligent operation supervision of new energy based on big data platform.

Key words

new energy / big data platform / intelligent operation / advanced application

Cite this article

Download Citations
Shuxiao ZHANG. New Energy Intelligent Operation Supervision Technology Based on Big Data Platform[J]. Distributed Energy Resources. 2022, 7(1): 74-82 https://doi.org/10.16513/j.2096-2185.DE.2207110

References

[1]
丽杰喜平,等. 基于云边协同的新能源监控与大数据平台构建[J]. 分布式能源2021, 6(1): 44-50.
WANG Lijie, ZHANG Xiping, FENG Qiang, et al. Construction of new energy monitoring and big data platform based on cloud-side collaboration[J]. Distributed Energy, 2021, 6(1): 44-50.
[2]
喜平丽杰. 新能源大数据平台物联网数据接入架构设计与实现[J]. 分布式能源2020, 5(6): 33-38.
ZHANG Xiping, ZHAO Wei, WANG Lijie. Design and implementation of data access architecture of internet of things for new energy big data platform[J]. Distributed Energy, 2020, 5(6): 33-38.
[3]
智泉. 推进智慧风电建设,提高风电核心竞争力[J]. 中国经济周刊2019(10): 108-109.
[4]
明明. 集控中心在风电企业管理中的创新研究[J]. 神华科技2019, 17(5): 3-7.
LU Mingming. Study on innovation of centralized control center in wind power enterprises[J]. Shenhua Science and Technology, 2019, 17(5): 3-.
[5]
智泉政霞. 智慧风电体系架构研究[J]. 分布式能源2019, 4(2): 8-15.
WU Zhiquan, WANG Zhengxia, Smart wind power system architecture[J]. Distributed Energy, 2019, 4(2): 8-15.
[6]
. 国家电投探索建设“智慧企业”[J]. 中国电力企业管理2017(28): 36-37.
[7]
彦全. 远程运维服务模式研究——以金风科技为例[J]. 工业经济论坛2017, 4(2): 68-73.
HOU Yanquan, CHENG Nan, HOU Xue. Study on remote operation service—Uses Goldwind as an example[J]. Industrial Economy Review, 2017, 4(2): 68-73.
[8]
. 远景“智慧风场管理”:运用物联网技术实现“无人值守”[J]. 中国信息安全2016(10): 60-62.
[9]
一琳. 量云:智慧让风电场“能动”起来[J]. 风能2019(7): 38-40.
[10]
玉敏. 上海电气掘金“智慧风场”[J]. 上海国资2016(5): 56-57.
[11]
圆圆宏坤文峰,等. 能源大数据应用中心功能体系及应用场景设计[J]. 智慧电力2020, 48(3): 15-21, 29.
WANG Yuanyuan, BAI Hongkun, LI Wenfeng, et al. Function system and application scenario design of energy big data application center[J]. Smart Power, 2020, 48(3): 15-21, 29.
[12]
. 基于大数据的风电场电力系统运维服务能力建设研究[J]. 中国高新技术企业2017(10): 115-116.
[13]
风雷. 基于数据挖掘技术的风电新能源大数据平台构建[J]. 吉林工程技术师范学院学报2017, 33(12): 108-110.
SHI Rui, MA fenglei. A new energy big data platform for wind power based on the data mining technology[J]. Journal of Jilin Teachers Institute of Engineering and Technology, 2017, 33(12): 108-110.
[14]
喜平智泉,等. 基于边缘计算的智慧风场数据采集与分析计算方法[J]. 电工技术2021(10): 54-57, 79.
ZHANG Xiping, WU Zhiquan, WU Chun, et al. Data collection, analysis and calculation method of intelligent wind farm based on edge computing[J]. Electrical Engineering, 2021(10): 54-57, 79.
[15]
. 基于边缘计算的数据获取与处理系统设计与实现[D]. 北京:北京工业大学,2018.
LIU Yang. Design and implementation of data acquisition and processing system based on edge computing[D]. Beijing: Beijing University of Technology, 2018.
[16]
. 基于IEC61131-3标准的边缘计算实时数据服务的研究[D]. 大连:大连理工大学,2018.
GUO Min. Research on edge computing real-time data service based on IEC61131-3 standard[D]. Dalian: Dalian University of Technology. 2018.
[17]
其乐,等. 基于大数据的风电生产运营监控系统设计与实现[J]. 分布式能源2017, 2(5): 60-64.
YIN Shi, CHI Yan, WANG Qile, et al. Wind power operation management and control center based on big data[J]. Distributed Energy, 2017, 2(5): 60-64.
[18]
建峰,等. 基于电力大数据平台的海量风电数据处理架构与应用研究[J]. 电力信息与通信技术2017, 15(7): 13-19.
XIAO Kai, LIU Peng, CHE Jianfeng, et al. Research on the architecture and application of massive wind power data processing based on electric power big data platform[J]. Electric Power Information and Communication Technology, 2017, 15(7): 13-19.
[19]
志宁红莉俊燕. 风电场运行管理指标研究与应用[J]. 风能2016(4): 52-57.
[20]
红武庭方靖霞,等. 光伏运维系统辅助决策模块设计探讨[J]. 华电技术2018, 40(4): 73-76, 80.
XU Hongwu, TAN Tingfang, LI Jingxia, et al. Design of auxiliary decision-making module for photovoltaic operation and maintenance system[J]. Huadian Technology, 2018, 40(4): 73-76, 80.
[21]
树晓. 风电企业集控中心网络安全防护体系建设及管理探讨[J]. 网络安全技术与应用2019(11): 128-131.
PDF(3034 KB)

Accesses

Citation

Detail

Sections
Recommended

/