Research on Remote Synergic Sharing of “Internet +” Smart Energy Information System

doi:10.12096/j.2096-4528.pgt.20101

Abstract

Abstract:

In order to achieve efficient management of clean energy (such as hydropower, photovoltaic, island micro grid, etc.) power generation system in Hainan. Combining the characteristics of distributed energy with internet technology, we built the Internet plus intelligent energy information service system, and implemented collaborative sharing of multiple distributed energy information systems.Firstly, Alibaba cloud technology was used to build a flexible basic data platform, and then a network protocol converter based on Internet of things protocol was developed to realize the data docking between the local power station and the cloud platform. After that, the operation data were analyzed and processed, and data information was pushed to different target groups through Internet web publishing and mobile APP software. At present, 34 distributed photovoltaic power plants with installed capacity of 91_{MW have been integrated and managed, which have been running stably for about three years and greatly improving the management level of distributed energy. The attempt of using new internet technology to achieve efficient management and intelligent decision-making of clean energy and distributed energy is conducive to promoting the development of energy Internet.}

Key words: clean energy, “Internet +” smart energy, information system, remote synergic sharing, expert system

CLC Number:

TK 01

Zhanye YANG, Jianan WANG, Hurun ZHANG, Bao LIU, Jie ZHENG, Minqiang SU. Research on Remote Synergic Sharing of “Internet +” Smart Energy Information System[J]. Power Generation Technology, 2022, 43(3): 431-438.

Figures/Tables 6

Fig. 1 System networking topology diagram

Fig. 2 Software architecture diagram

Fig. 3 Subscribe/publish interactive model

Fig. 4 Interface of information system-dispersion rate analysis

Fig. 5 Architecture of Huawei power Internet of things

Fig. 6 Diagnostic reasoning flowchart

References 25

1	卞艺衡，桂恒立，别朝红．考虑重构和微电网分区的分布式电源优化配置[J]．智慧电力，2020，48(7)：8-15． doi:10.3969/j.issn.1673-7598.2020.07.002
	BIAN Y H， GUI H L， BIE Z H ．Optimal DG allocation considering reconfiguration and microgrid zoning[J]．Smart Power，2020，48(7)：8-15． doi:10.3969/j.issn.1673-7598.2020.07.002
2	程维杰，颜云松，康明才，等．考虑分布式电源影响的配电网源荷储分层协调控制[J]．电力工程技术，2020，39(5)：113-119． doi:10.12158/j.2096-3203.2020.05.016
	CHENG W J， YAN Y S， KANG M C，et al ．Generation-load-storage layered coordinated control of distribution network considering the influence of distributed generation[J]．Electric Power Engineering Technology，2020，39(5)：113-119． doi:10.12158/j.2096-3203.2020.05.016
3	冯庆东．能源互联网与智慧能源[M]．北京：机械工业出版社，2015：15-18．
	FENG Q D ．Energy internet and smart energy[M]．Beijing：Machinery Industry Press，2015：15-18．
4	任景，薛晨，张小东，等．含储能及分布式电源的区域电网平衡[J]．电网与清洁能源，2020，36(12)：75-82． doi:10.3969/j.issn.1674-3814.2020.12.011
	REN J， XUE C， ZHANG X D，et al ．Research on regional power grid balance containing energy storage and distributed generation[J]．Power System and Clean Energy，2020，36(12)：75-82． doi:10.3969/j.issn.1674-3814.2020.12.011
5	杨湛晔，毛建容，马红伟，等．微电网多级保护与控制的实现与优化分析[J]．电力系统及其自动化学报， 2012，24(2)：137-141． doi:10.3969/j.issn.1003-8930.2012.02.025
	YANG Z Y， MAO J R， MA H W，et al ．Implementation and optimal analysis for the multi-step protection and control technology in micro-grid[J]．Proceedings of the Chinese Society of Universities， 2012，24(2)：137-141． doi:10.3969/j.issn.1003-8930.2012.02.025
6	杨湛晔，马红伟，毛建容．海岛微电网组网优化研究[J]．电力建设，2014，35(6)：63-68． doi:10.3969/j.issn.1000-7229.2014.06.012
	YANG Z H， MA H W， MAO J R ．Optimal combination technology of island microgrid[J]．Electric Power Construction，2014，35(6)：63-68． doi:10.3969/j.issn.1000-7229.2014.06.012
7	杨湛晔，马红伟，毛建容，等．基于虚拟子微网的独立海岛微电网快速稳定控制策略与验证[J]．电网技术，2015，39(7)：1907-1912．
	YANG Z H， MA H W， MAO J R，et al ．Fast and stable control strategy and verification of independent island microgrid based on virtual sub-microgrid[J]．Power System Technology，2015，39(7)：1907-1912．
8	杨湛晔，王佳楠，张虎润．“互联网+”智慧能源储能系统主动调控策略研究[J]．发电技术，2020，41(3)：281-287．
	YANG Z Y， WANG J N， ZHANG H R ．Active regulation strategy of “Internet+” smart energy storage system[J]．Power Generation Technology，2020，41(3)：281-287．
9	陈振宇，刘东，高兴宇，等．一种面向电力调控云的高效运维方法[J]．电力系统保护与控制，2020，48(14)：175-181． doi:10.19783/j.cnki.pspc.190965
	CHEN Z Y， LIU D， GAO X Y，et al ．An efficient operation and maintenance method for power dispatching and control cloud[J]．Power System Protection and Control，2020，48(14)：175-181． doi:10.19783/j.cnki.pspc.190965
10	耿健，杨冬梅，高正平，等．含储能的冷热电联供分布式综合能源微网优化运行[J]．电力工程技术，2021，40(1)：25-32．
	GENG J， YANG D M， GAO Z P，et al ．Optimal operation of distributed integrated energy microgrid with CCHP considering energy storage[J]．Electric Power Engineering Technology，2021，40(1)：25-32．
11	张浩禹，邱晓燕，周晟锐，等．基于机会约束目标规划的多电-气互联综合能源系统分布式优化模型[J]．电力建设，2020，41(7)：82-91． doi:10.12204/j.issn.1000-7229.2020.07.011
	ZHANG H Y， QIU X Y， ZHENG S R，et al ．Distributed optimal dispatch based on chance constrained goal programming for multi-area integrated electricity-natural gas energy systems[J]．Electric Power Construction，2020，41(7)：82-91． doi:10.12204/j.issn.1000-7229.2020.07.011
12	黄小鉥，翟长国，郭剑虹，等．光伏电站远程数据中心系统架构设计[J]．电力系统自动化，2011，35(7)： 61-63．
	HUANG X S， ZHAI C G， GUO J H，et al ．Design of system structure for remote data center of photovoltaic power station[J]．Automation of Electric Power Systems，2011，35(7)：61-63．
13	卢阿丽，顾德林，张剑书，等．基于MQTT和ILZ4压缩法的智慧能源云平台[J]．控制工程，2020，27(1)：174-181．
	LU A L， GU D L， ZHANG J S，et al ．Smart energy cloud platform based on MQTT and ILZ4 compression method[J]．Control Engineering，2020，27(1)：174-181．
14	于伟，石文娟，左高，等．“互联网+”客户侧分布式光伏系及平台建设[J]．供用电，2017，34(10)：42-46．
	YU W， SHI W J， ZUO G，et al ．The service system of client-side distributed PV under “Internet+” pattern and its platform construction[J]．Distribution & Utilization，2017，34(10)：42-46．
15	李洋．“光伏云网”智能化服务研究与应用[J]．供用电，2018，35(9)：42-46，73．
	LI Y ．Research and application of “photovoltaic cloud network” intelligent service[J]．Distribution & Utilization，2018，35(9)：42-46，73．
16	吴凯峰，刘万涛，李彦虎．基于云计算的电力大数据分析技术与应用[J]．中国电力，2015，48(2)：111-127．
	WU K F， LIU W T， LI Y H ．Cloud-computing based power big data analysis technology and its application[J]．Electric Power，2015，48(2)：111-127．
17	李刚，焦谱，文福拴．基于偏序约简的智能电网大数据预处理方法[J]．电力系统自动化，2016，40(7)：98-106． doi:10.7500/AEPS20150630012
	LI G， JIAO P， WEN F S ．A partial order reduction based method for big data preprocessing in smart grid environment[J]．Automation of Electric Power Systems，2016，40(7)：98-106． doi:10.7500/AEPS20150630012
18	李洋，吴鸣，周海明，等．基于全能流模型的区域多能源系统若干问题探讨[J]．电网技术，2015，39(8)：2230-2237．
	LI Y， WU M， ZHOU H M，et al ．Study on some key problems related to regional multi energy system based on universal flow model[J]．Power System Technology，2015，39(8)：2230-2237．
19	马钊，周孝信，尚宇炜，等．能源互联网概念、关键技术及发展模式探索[J]．电网技术，2015，39(11)：3014-3022．
	MA Z， ZHOU X X， SHANG Y W，et al ．Exploring the concept，key technologies and development model of energy internet[J]．Power System Technology，2015，39(11)：3014-3022．
20	孙宏斌，郭庆来，潘昭光．能源互联网：理念、架构与前沿展望[J]．电力系统自动化，2015，39(19)：1-8． doi:10.7500/AEPS20150701007
	SUN H B， GUO Q L， PAN Z G ．Energy internet：concept，architecture and frontier outlook[J]．Automation of Electric Power Systems，2015，39(19)：1-8． doi:10.7500/AEPS20150701007
21	张彦，张涛，孟繁霖，等．基于模型预测控制的能源互联网系统分布式优化调度研究[J]．中国电机工程学报，2017，37(23)：6829-6845．
	ZHANG Y， ZHANG T， MENG F L，et al ．Model predictive control based distributed optimization and scheduling approach for the energy internet[J]．Proceedings of the CSEE，2017，37(23)：6829-6845．
22	傅国轩，李雪，高旭冬．并网光伏电站基于汇流箱组串电流离散率的分析方法及应用[J]．电网与清洁能源，2014，30(11)：109-113． doi:10.3969/j.issn.1674-3814.2014.11.022
	FU G X， LI X， GAO X D ．Analytical method and application of current discrete rate of PV power station based on junction box string[J]．Power System and Clean Energy，2014，30(11)：109-113． doi:10.3969/j.issn.1674-3814.2014.11.022
23	范相林．光伏电站建设及运营管理研究[J]．电子世界，2012，11(9)：64-67． doi:10.3969/j.issn.1003-0522.2012.17.040
	FAN X L ．Research on construction and operation management of photovoltaic power station[J]．Electronic World，2012，11(9)：64-67． doi:10.3969/j.issn.1003-0522.2012.17.040
24	苏剑，周莉梅，李蕊．分布式光伏发电并网的成本/效益分析[J]．中国电机工程学报，2013，33(34)：50-56．
	SU J， ZHOU L M， LI R ．Cost-benefit analysis of distributed grid-connected photovoltaic power generation[J]．Proceedings of the CSEE，2013，33(34)：50-56．
25	王亚南．专家系统中推理机制的研究与应用[D]．武汉：武汉理工大学，2006．
	WANG Y N ．Research and application of reasoning mechanism in expert system[D]．Wuhan：Wuhan University of Technology，2006．

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