分布式光伏发电网络构建与仿真

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (10032 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Distributed solar PV mainly serves the household and industrial plants. Essentially, each PV user is a small power station. Currently, grid-connected is widely used to complete unified deployment of power from the national grid. However, there is many issues, for example, it cannot real-time calculate the transmission route and the electricity deployment power transmission distance cannot be controlled, the transmission loss is high and so on. This paper proposes a scheme of the distributed solar PV Internet structure, focusing on the research and design of energy routers. The structure of distributed solar PV of internet realize the point-to-point energy transmission. By the use of cloud energy computing center, it can unify computing, intelligent scheduling and unify management, monitor, transmit, bill electricity energy and so on. It can also achieve interconnection, interoperability and sharing of the electricity and energy in a certain area.

Key words： solar PV energy routers energy internet distributed energy

Received: 28 December 2018 Published: 19 August 2019

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Cao Pengfei
	Yang Jun
	Rao Jiquan
	Xing Dewen

Cite this article:

Cao Pengfei,Yang Jun,Rao Jiquan等. Research on the construction and simulation of distributed solar PV internet[J]. Electrical Engineering, 2019, 20(8): 64-68.

URL:

http://dqjs.cesmedia.cn/EN/Y2019/V20/I8/64

[1] 国家发展改革委. 关于2018年光伏发电有关事项的通知[Z]. 北京, 2018.
[2] Rifki J.The third Industrial Revolution: how lateral power is transforming energy, the economy, and the word[M]. NewYork: Palgrave MacMillan, 2011.
[3] 曹军威, 孟坤, 王继业, 等. 能源互联网与能源路由器[J]. 中国科学(信息科学), 2014, 44(6): 714-727.
[4] 田世明, 栾文鹏, 张东霞, 等. 能源互联网技术形态与关键技术[J]. 中国电机工程学报, 2015, 35(14): 3482-3494.
[5] 周孝信, 曾嵘, 高峰, 等. 能源互联网的发展现状与展望[J]. 中国科学(信息科学), 2017(2): 149-170.
[6] 赵海, 蔡巍, 王进法, 等. 能源互联网架构设计与拓扑模型[J]. 电工技术学报, 2015, 30(11): 30-36.
[7] 余晓丹, 徐宪东, 陈硕翼, 等. 综合能源系统与能源互联网简述[J]. 电工技术学报, 2016, 31(1): 1-13.
[8] Raghavan B, Irwin D, Albrecht J, et al.An intermittent energy internet architecture[C]//2012 Third Inter- national Conference on Future Energy Systems: Where Energy, Computing and Communication Meet, 2012: 5.
[9] 刘大志. 考虑分布式光伏接入的配电网增强方法研究[J]. 电气技术, 2016, 17(9): 66-69.
[10] 陈亚, 李萍. 基于神经网络的短期电力负荷预测仿真研究[J]. 电气技术, 2017, 18(1): 26-29.
[11] Carmen W, Eric S, Adrian M, et al.An energy integrated, multi-microgrid, MILP (mixed-integer linear propramming) approach for residential distributed energy system planning-a south australian case-study[J]. Energy, 2015, 85: 30-44.
[12] 吴聪, 唐巍, 白牧可, 等. 基于二层规划的用户侧能源互联网规划[J]. 电工技术学报, 2017, 32(21): 122-131.
[13] 黄炼, 王朴, 武建文, 等. 分布式光-储发电系统的双向DC-DC非线性控制[J]. 电工技术学报, 2016, 31(S2): 10-18.
[14] Natarajan D, Rajendran A P.AOLSR: hybrid ad hoc routing protocol based on a modified dijkstra's algorithm[J]. EURASIP Journal on Wireless Com- munications and Networking, 2014(1): 90.
[15] 江锐, 江涛, 许蕾. 光伏并入配电网的逆变器控制策略研究[J]. 电气技术, 2017, 18(12): 81-85.