Coordination between Short-Term and Real-Time Scheduling Incorporating Wind Power

Kui Wang; Bu Han Zhang; Jia Jun Zhai; Wen Shao; Xiao Shan Wu; Cheng Xiong Mao

doi:10.4028/www.scientific.net/AMR.512-515.700

Paper Titles

Application of Multiple Level Rules Set in Fault Diagnosis of the Wind Power Generation System
p.679

Applying Transfer Matrix Method in Mode Analysis of Wind Turbine
p.686

Comparison of Construction Projects with Different Unit Wind Turbine Capacity
p.690

Control Strategies of HESS for the Application of Directly Driven WTG
p.694

Coordination between Short-Term and Real-Time Scheduling Incorporating Wind Power
p.700

Development of a Robotic Kite to Generate Electricity from Wind
p.704

Efficiency Matching Research between PMSG and Fixed Pitch WT
p.709

Fault Diagnosis of Wind Turbine Gearboxes
p.715

Intelligent Optimization of Hybrid Wind/PV/pumped-Storage Power System
p.719

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 512-515Coordination between Short-Term and Real-Time...

Coordination between Short-Term and Real-Time Scheduling Incorporating Wind Power

Abstract:

Coordination strategies between short-term (e.g., weekly and daily scheduling ) and real-time scheduling in wind power integrated system are disscussed. To cope with the uncertainty of wind power and load demands, weekly and daily rolling schedulings are applied. According to the latest updated prediction results of wind power and load demands, weekly rolling scheduling is applied to revise unit commitment and fuel allocation in remaining hours in a week. Daily rolling scheduling is applied to revise generation scheduling in remaining time in a day. A modified IEEE 118-bus system is applied to test the proposed approach.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 512-515)

Pages:

700-703

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.512-515.700

Citation:

Cite this paper

Online since:

May 2012

Authors:

Kui Wang, Bu Han Zhang, Jia Jun Zhai, Wen Shao, Xiao Shan Wu, Cheng Xiong Mao

Keywords:

Coordination Scheduling, Real-Term Scheduling, Short-Term Scheduling, Wind Power

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Yong Fu, Mohammad Shahidehpour and Zuyi Li, ''Long-term security-constrained unit commitment: hybrid Dantzig-Wolfe decomposition and subgradient approach'', IEEE Trans on Power Systems, vol. 20, no. 4, pp.2093-2106, Nov. 2005．

DOI: 10.1109/tpwrs.2005.857286

Google Scholar

[2] C. G, Baslis and A. G. Bakirtzis, ''Mid-term stochastic scheduling of a price-maker hydro producer with pumped storage'', IEEE Trans on Power Systems, vol. 26, no. 4, pp.1856-1865, Nov. 2011．

DOI: 10.1109/tpwrs.2011.2119335

Google Scholar

[3] C. L. Chen, "Optimal wind-thermal generating unit commitment, IEEE Trans on Energy Conversion, vol. 23, no. 1, pp.273-280, Mar. 2008．

DOI: 10.1109/tec.2007.914188

Google Scholar

[4] J. Hetzer, D. C. Yu, and K. Bhattarai, "An economic dispatch model incorporating wind power, IEEE Trans on Energy Conversion, vol. 23, no. 2, pp.603-611, Jun. 2008．

DOI: 10.1109/tec.2007.914171

Google Scholar

[5] Y. Li, L. Ge, and Y. Lin, "Real-time power dispatch strategy considering energy saving and environmental protection, Electric Power Automation Equipment, vol. 29, no. 3, pp.42-45, Mar. 2009(in Chinese)．

Google Scholar

[6] M. K. C. Marwali, ''Coordination between long-term and short-term generation scheduling with network constraints'', IEEE Trans on Power Systems, vol. 15, no. 3, pp.1161-1167, Aug. 2000．

DOI: 10.1109/59.871749

Google Scholar

[7] E. Handschin, and H. Slomski, ''Unit commitment in thermal power systems with long-term energy constraints'', IEEE Trans on Power Systems, vol. 5, no. 4, pp.1470-1477, Nov. 1990．

DOI: 10.1109/59.99401

Google Scholar