Research on Low-Carbon Energy Management System of Intelligent Community

Shan Shan Shi; Yi Rong Su; Jin Song Liu; Shu Liu; Zhou Gan; Shuang Hu Wang; Bing Wen Wang

doi:10.4028/www.scientific.net/AMM.488-489.1475

Paper Titles

The Neural Network Calculation Based on Proportional and Fuzzy Classification in Data Pretreatment
p.1458

Design of Real Estate Price Index System Based on Hedonic Price Method
p.1463

Exploration and Study on Reducing Regional Distribution Network Losses
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The Relationship between the Urban Road Flood Protection Capacity and the Lake Sandbox Based on Internet of Things
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Research on Low-Carbon Energy Management System of Intelligent Community
p.1475

Collision Detection Analysis of 2D Layout Based on Convex Hull Plus Rubber Band Simulation
p.1480

Study on Depth and Scope of the Guidance Ammunition Maintenance System
p.1485

Research on Novel Seawater Desalination Zero Release System
p.1489

Prediction of Baltic Capesize Freight Index Based on GARCH Model
p.1494

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 488-489Research on Low-Carbon Energy Management System of...

Research on Low-Carbon Energy Management System of Intelligent Community

Abstract:

The development of low-carbon energy economy has become common choice of the world to solve energy security and environmental issues in the context of climate change and energy issues. Carrying out construction of intelligent community becomes the key technology for optimizing energy efficiency of smart grid. This paper focuses on low-carbon energy management system of intelligent community, which including: construction mode, functional configuration and mode switching condition on low-carbon energy management system of intelligent community as well as the coordination between the upper and lower subsystem. These can provide reference technology solutions for energy management of intelligent community in China.

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Periodical:

Applied Mechanics and Materials (Volumes 488-489)

Pages:

1475-1479

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.488-489.1475

Citation:

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Online since:

January 2014

Authors:

Shan Shan Shi*, Yi Rong Su, Jin Song Liu, Shu Liu, Zhou Gan, Shuang Hu Wang, Bing Wen Wang

Keywords:

Comprehensive Energy Management System, Intelligent Community, Low-Carbon Energy

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* - Corresponding Author

References

[1] Liang Caihao, Duan Xianzhong. Distributed Generation and Its Impact on Power System. Automation of Electric Power System, 2001, 25(12): 53-56.

Google Scholar

[2] Wang Zhiqun, Zhu Shouzhen, Zhou Shuangxi, et al. Impacts of Distributed Generation on Distribution System Voltage Profile. Automation of Electric Power System, 2004, 28(16): 56-60.

Google Scholar

[3] Chen Haiyan, Chen Jinfu, Duan Xianzhong. Study On Power Flow Calculation of Distributed Generation System With Dgs. Automation of Electric Power Systems, 2006, 30(1): 35-40.

DOI: 10.1109/pes.2006.1709198

Google Scholar

[4] Chen Haiyan, Chen Jinfu, Yang Xiongping，et al. Planning for Distributed Generation In Distribution Network With Short-circuit Current Constraints. Automation of Electric Power System, 2006, 30(21): 16-21.

Google Scholar

[5] Huang Wei，Sun Changhui，Wu Ziping，et a1．A Review on Microgrid Technology Containing Distributed Generation System[J]．Power System Technology，2009，33(9)：14-18，34.

Google Scholar

[6] Wang Chengshan，Li Peng．Development and Challenges of Distributed Generation，the Microgrid and Smart Distribution System[J]．Automation of Electric Power Systems，2010，34(2)：10-14，23.

Google Scholar