An Multi-Objective Optimization Model for Wind-Storage Combined Operation

Yan Qing Li; Hao Shan Li; Chi Dong; Jian Wang

doi:10.4028/www.scientific.net/AMR.860-863.414

Paper Titles

The Power of Wind Turbine Generators Prediction Model Based on Time Series
p.394

Security and Economy Analysis of Power Grid Considering the Uncertainty of Demand Side and Generation Side
p.398

Regional Wind Power Forecasting Based on Cloud Model and Wind Rate Vector
p.405

Considering Wind Power Abortively Based on Petri Net Research on Optimization of Hydropower
p.409

An Multi-Objective Optimization Model for Wind-Storage Combined Operation
p.414

Impact of Wind Farms on the Voltage of the Grid Integrated under the Ramp Changing Wind Speed
p.419

A MPPT Strategy for Wind Power PMSG System with Full Power Converter
p.424

The Study of VSC-HVDC System Simplified Model on Large Offshore Wind Farm
p.428

Investigation of Thermoelectric Power Generation Module on Waste Heat Recovery in a Downdraft Gasifier
p.437

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 860-863An Multi-Objective Optimization Model for...

An Multi-Objective Optimization Model for Wind-Storage Combined Operation

Abstract:

Large-scale wind power integration constituted great challenges for the power system operation and dispatching, due to the volatile and peak-reversal nature of wind power.The multi-objective optimization model of the wind farm combined with pumped-storage was studied to solve the problem.An optimization model for wind-storage combined operation was established, aiming at tracking load changes ,improving wind power economic benefits and peak shaving benefits, using improved multi-objective particle swarm optimization.The optimization calculation attempted to reduce volatility of the remaining load after removal of wind-storage joint output and increase economic benefits of wind farrms. Through the optimization calculation the wind farm and storage plant scheduling values of each time are available. The calculation example shows that the model and method are conducive to large-scale wind power integration and have a certain practicality and effectiveness.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 860-863)

Pages:

414-418

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.860-863.414

Citation:

Cite this paper

Online since:

December 2013

Authors:

Yan Qing Li, Hao Shan Li*, Chi Dong, Jian Wang

Keywords:

Economic Benefit, Load Tracking Benefits, Multi-Objective Optimization (MOP), Peak Shaving Benefits, Wind-Storage Combined Operation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Liying Zhang, Tinglu Ye, Yaozhong Xin, Feng Han, and Gaofeng Fan: Proceedings of the CSEE. Vol. 25(2010), pp.1-9(in chinese).

Google Scholar

[2] Wenxia Pan, and Yonghui Fan: Transactions of China Electrotechnical Society. Vol. 23(2008), pp.120-124(in chinese).

Google Scholar

[3] Xiaolan Wang, and Zhiwei Li: Journal of lanzhou university of technology. Vol. 5(2011), pp.78-82(in chinese).

Google Scholar

[4] Ruijin Zhu, Huanshuai Bing, Jianjun Wang, Qing Cheng, Zenghui Yang, Suhua Lou, and Yaowu Wu: China Electric Power. Vol. 04(2012), pp.564-567(in chinese).

Google Scholar

[5] Ming Xu, Xi Shen, Longhua Ma, and Yuejin Huang: Control and Decision. Vol. 11(2009), pp.1713-1718+1728(in chinese).

Google Scholar