Optimal Power Flow Considering Generator Number Constraint on Regulation of Active Power Output

Article Preview

Abstract:

Operation number constraint of control means isn’t considered to traditional optimal power flow model, and at optimal solution all the control variables often be changed, which causes a tedious dispatching plan and is difficult to operate. In this paper, Optimal Power Flow (OPF) with constraints limiting the number of control actions was discussed, and 0-1 discrete variables of model was transformed to complementary constraint, then modern interior point algorithm was used for solving. Through simulation the relationship between generator number constraint on regulation of the active power output and optimization objective was explored, which could obtain best balance point on two, and close to conventional OPF optimization objective with reducing the number of regulation.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1042-1047

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] DING Xiao-ying, WANG Xi-fan. Recent Development of Optimal Power Flow in Power Market. Automation of Electric Power Systems, 2002, 26(13): 1-7.

Google Scholar

[2] LIU Ming-bo, ZHU Chun-ming, QIAN Kang-ling. Dynamic Reactive-power Optimization Algorithm Incorporating Action Number Constraints of Control Devices. Proceedings of the CSEEe, 2004, 24(3): 34-39.

Google Scholar

[3] Florin Capitanescu, William Rosehart, Louis Wehenkel. Optimal Power Flow Computations with Constraints Limiting the Number of Control Actions. 2009 IEEE Bucharest Power Tech Conference, June 28th-July 2nd, Buchares, Romania.

DOI: 10.1109/ptc.2009.5282151

Google Scholar

[4] Florin Capitanescu, Louis Wehenkel. Optimal Power Flow Computations With a Limited Number of Controls Allowed to Move. IEEE Transactions on Power Systems, 2010, 25(1): 586-587.

DOI: 10.1109/tpwrs.2009.2036461

Google Scholar

[5] TAN Tao. Doctoral Dissertation: Continuous Approach to Discrete Optimum Design. Dalian: Dalian University of Technology, (2006).

Google Scholar

[6] LU Yi. Master Dissertation: Research on an Accurate Algorithm for Transforming Mixed Integer Reactive-power Optimization into Continuous one in Power Systems . Guangzhou: South China University of Technology, (2010).

Google Scholar

[7] Leyffer S. Gabriel L C, Nocedal J. Interior Methods for Mathematical Programs with Complementarity Constraints. SIAM Journal on Optimization, 2006, 17(1): 52-77.

DOI: 10.1137/040621065

Google Scholar

[8] Rosehart W, Roman C, Schellenberg A. Optimal Power Flow With Complementarity Constraints. IEEE Transactions on Power Systems, 2005, 20(2): 813-822.

DOI: 10.1109/tpwrs.2005.846171

Google Scholar

[9] LI Bin, WEI Hua, LI Pei-jie. Interior-point nonlinear algorithm with complementarity constraints for reactive-power optimization . Electric Power Automation Equipment, 2010, 30(2): 53-58.

Google Scholar

[10] LIN Ji-keng, SHI Wei-zhao, WU Nai-hu. Reactive Power Optimization with Discrete Variables Based on Complementarity Constraints Smooth Newton Method. Proceedings of the CSEE, 2012, 32(1): 93-100.

Google Scholar

[11] CAI Guang-lin, ZHANG Yong-jun, REN Zhen. Static Voltage Stability Critical Point Assessment Applying Nonlinear Complementarity Constraints Model. Proceedings of the CSEE, 2008, 28(16) : 8~14.

Google Scholar