Dissertation > Excellent graduate degree dissertation topics show

Application of Interior-Point Theory for Reactive Power Optimization in Large Power Systems

Author: WuWei
Tutor: LiuJin
School: Harbin Institute of Technology
Course: Electrical Engineering
Keywords: reactive power optimization interior-point theory prime-dual path following method restriction bound
CLC: TM714.3
Type: Master's thesis
Year: 2008
Downloads: 236
Quote: 0
Read: Download Dissertation


Reactive power optimization is a nonlinear programming problems, many algorithms are used to calculate this problem. With the scale of power system becoming more and more large, the restrictions are more than before, the problem of reactive power optimization becomes complex and it’s difficult to calculate this problem. In order to improve the convergence and calculating speed, reactive power optimization was deeply researched in this paper. During the process of looking for the optimized point with interior-point theory, it finds that parts of the variables are no longer changed, the alteration of variables tends to become zero. On the other hand, the track of looking for the optimized point goes along with a few restrictions, but far away from the bounds of some restrictions. This paper improves the interior-point theory to calculate reactive power optimization,in which the main method is to reduce the variables that tends to become zero and the restrictions that are far away from the bounds.This paper calculates the sensitivity and sets up the model of reactive power optimization by using sensitivity analysis method. Then it uses the prime-dual path following method to calculate this model. Combining with the flow program, this paper finishes the whole process of reactive power optimization.After the convergence of interior-point circulation, all the variables and constrictions are judged. Before the next big circulation of reactive power optimization, this paper reduces the variables and constrictions which accord with the standard, and the scale of system is decreased. Comparing with the prime-dual path following method, the calculation capacity of the improving algorithm is reduced. The computation results of IEEE118 system show that the convergence and speed of algorithm is increased, and the precision of calculation is assured. It is obvious that improving algorithm don’t reduce the efficiency of optimization.

Related Dissertations

  1. Research of Power System Reactive Power Optimization Based on Immune Ant Colony Algorithm,TP18
  2. Study on Hybrid Algorithm of Power System Reactive Power Optimization,TM714.3
  3. The Research on Reactive Power Optimization Based on Improved Genetic Algorithm,TM714.3
  4. Application Study of Reactive Power Optimization for Foshan Power Grid,TM714.3
  5. Research on Reactive Power Optimization of Regional Gird,TM714
  6. Research on the Model and Algorithms of Reactive Power Optimization in Power Systems,TM714.3
  7. Study on Dynamic Reactive Power Optimization Dispatching in Power Systems,TM714.3
  8. Prcatical Research of the Reactive Power Optimization in Changxing Power System,TM714.3
  9. Research of Multi-level Control System of Voltage and Reactive Power in Hangzhou Region,TM714.3
  10. Research of Reactive Power Optimization & Control in the Distribution Network,TM761
  11. The Control Strategy for Optimization of Voltage and Reactive Power in Substation Based on Load Forecast,TM761.1
  12. Reactive Power Optimization of Power System Based Improved Particle Swarm Optimization,TM714.3
  13. Reactive Power Optimization for Urban High Voltage Power Systems,TM714.3
  14. Study of the Reactive Power Optimization for Distribution Systems Based on Hybrid Intelligent Algorithm,TM714.3
  15. Multi-objective Artificial Immune Algorithm and Its Applications in Reactive Power Optimization,TM714
  16. Research on Electric Network Comeprehensive Line Loss Calculation and Loss Reduction Design Support System,TM73
  17. Development of Visual Software for Reactive Power Optimization of the Large Consumers’ High Voltage Distribution Network,TM769
  18. System Based on the Reactive Power Optimization of Automatic Voltage Control,TM761.1
  19. Texas Grid Voltage and Reactive Power Analysis and load transformer for reducing the failure rate measures,TM761.1
  20. The Research on Reactive Power Optimization of Hybrid AC-DC Power System,TM721.3

CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Theory and Analysis > Load analysis > Reduce energy loss and reactive power compensation system
© 2012 www.DissertationTopic.Net  Mobile