The Design and Implementation of Optimal Scheduling in Hydro-Thermal-Wind System

Xue Feng Tian

doi:10.4028/www.scientific.net/AMR.983.275

Paper Titles

Methodology of Taguchi Optimization for Organic Rice Bran to Maximum Antioxidant Activity
p.257

Resolving National Energy Crisis through Energy Efficient Appliances: Use of Ground Water Heat Pump for Air Conditioning Systems
p.261

Solar Hydrogen Production Research Status and Prospect
p.265

Stability of a Class of Power System with Interval Parameters
p.270

The Design and Implementation of Optimal Scheduling in Hydro-Thermal-Wind System
p.275

The Effect of Air Cold Plasma Treatment on UHMWPE Fiber Surface Modification
p.280

The Effects of the Total Number of Regions and Average Power Density on the Overall Performance of Modified CANDLE Burn-Up Scheme Based Gas Cooled Fast Reactors
p.284

The Research of Marine Nuclear Power Two Loop Simulation Software Based on the Thermal System Analysis
p.288

Transformer Impedance Determination for Power System Studies of Distribution Network integrated with Renewable Energy Resources
p.292

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 983The Design and Implementation of Optimal...

The Design and Implementation of Optimal Scheduling in Hydro-Thermal-Wind System

Abstract:

This paper mainly put forwards the design and implementation of hydropower, thermal power, and wind power joint optimal scheduling system, introduces the framework and functional module of JAVA enterprise application technology, and focuses on the key technologies of the system. The system is based on provincial scheduling automation platform. It takes decision-making as the target, realizes wind power probability prediction, conventional power generation planning, hydropower, thermal power, and wind power joint scheduling, constraint checking, impact assessment and other functions, and helps the operators to make scientific and reasonable power generation plans, achieve intelligent scheduling, and enhance system operation level.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 983)

Pages:

275-279

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.983.275

Citation:

Cite this paper

Online since:

June 2014

Authors:

Xue Feng Tian*

Keywords:

Alpine Region, Electric Power System, Optimal Scheduling, Unit Commitment, Wind Power Prediction

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Feng Shuanglei，Wang Weisheng，Liu Chun，et al．Study on the physical approach to wind power prediction ［J］．Proceedings of the CSEE，2010，30（2）：1-6.

Google Scholar

[2] Gu Xingkai，Fan Gaofeng，Wang Xiaorong，et al．Summarization of wind power prediction technology ［J］．Power System Technology，2007，31（S2）：335-338.

Google Scholar

[3] BOUFFARD F，GALIANA F D．Stochastic security for operations planning with significant wind power generation［J］．IEEE Transaction on Power Systems，2008，23（2）： 306-316.

DOI: 10.1109/tpwrs.2008.919318

Google Scholar

[4] Yan Yong，Wen Fushuan，Yang Shouhui，et al．Generation scheduling with fluctuating wind power［J］．Automation of Electric Power Systems，2010，34（6）：79-88.

DOI: 10.1109/supergen.2009.5348285

Google Scholar

[5] Li Zhi，Han Xueshan，Yang Ming，et al．Power system dispatch considering wind power grid integration ［J］．Automation of Electric Power Systems，2010，34（19）：15-19.

Google Scholar