Dissertation > Excellent graduate degree dissertation topics show

Reactive Power Optimization in Power System Based on Adaptive Focusing Particle Swarm Optimization Algorithm

Author: LiuShuKui
Tutor: ChenWeiRong
School: Southwest Jiaotong University
Course: Electrical system control and IT
Keywords: Power system Adaptive focusing particle swarm optimization algorithm Multiobjective reactive power optimization Voltage stability Fuzzy set theory Swarm intelligence
CLC: TM714
Type: Master's thesis
Year: 2009
Downloads: 307
Quote: 4
Read: Download Dissertation

Abstract


With the rapid development of electric power system, the grids become larger and larger. How to guarantee the power system running economically, safely and stably becomes a focus in the world. Reactive power optimization can optimize reacitive power dispatch and reduce power loss and voltage loss, different controlled variables are chosen to do the adjustment. The increase of variables and non-linear constraints along with the complicated relationship between them make the reactive power optimization problem a complicated, large run mathematical programming one. The swarm intelligence optimization algorithms have the obvious advantages in searching the best solution for the large run, non-linear problem, offering new ways to solve the problem.The traditional reactive power optimization always takes the economical run of the electric power system as the destination, and gets the reactive power optimization results through adjusting the generator voltages, transformer taps and capacitor tanks. However, the voltage stability is often neglected. In fact, in the condition of the electric power market at present, considering the influence of environmental and economical elements, the power system is apt to run closely to the margin status, resulting in the insufficient voltage stable redundancy. Therefore the voltage collapse will happen sometime. So the multiobjective reactive power optimization incorporating static voltage stability was studied in this dissertation, and the corresponding mathematical model was adopted.In the dissertation, the present research and development of the reactive power optimization were reviewed, including kinds of methods for reactive optimization, and the advantages, disadvantages and application of these methods were analyzed. The adaptive focusing particle swarm optimization (AFPSO) proposed in this dissertation was an adaptive swarm intelligence optimization algorithm with preferable ability of global search and search rate based on particle swarm optimization. Based on optimal control principle, index of static voltage stability was introduced and a model of multiobjective reactive power optimization was adopted, where the least active power loss, the best voltage level and the biggist static voltage stability margin were taken into account, using fuzzy set theory to transformed multiobjective optimization problems into a single objective optimization problem. At the same time, the form of penalty function was adopted to deal with the inequality constraints of state-variables about load-bus voltage and generation reactive power. AFPSO applied for optimal reactive power was evaluated on IEEE 30-bus and IEEE 57-bus power system. The simulation results and the comparison results with various optimization algorithms demonstrated that the proposed approach convergeed to better solutions in account precision, convergence stability and time than the earlier refered approaches and the algorithm was able to heighten power system voltage stability during the economical operation, simultaneously, the validity and superiority of AFPSO were proved.

Related Dissertations

  1. Power System Dynamic Voltage Stability Simulation Study Based on Precise Integration Method,TM712
  2. Over-voltage Identification of Transmission Line Based on Hilbert-Huang Transformation,TM866
  3. Research on Support Vector Regression in Prediction of the Short-term Load of Power System,TM715;F224
  4. The Design of Dynamic Reactive Power Compensating Device and the Chaotic Analysis of Its Integration,TM761
  5. Research on Modification and Application of Particle Swarm Optimization Algorithm Based on Control Methods,TP301.6
  6. GPRS-based transformer fault diagnosis system,TM407
  7. Research on Oranically-Structured of Expanding Large Scale Systems Based on Parameter Optimization,TP273
  8. Research on Available Transfer Capability of Power Grid,TM744
  9. Research on Application of Visualization of Analysis and Calculation in Power System,TM769
  10. Research on Daily Load-forecasting for Power Grid Based on ANN,TM715
  11. Study of Systemic Harmonic Monitoring and Management on Distribution Power System,TM711
  12. Compensation Calculation and Construction Practice of Reative Power Optimization in Country Power Grid,TM744
  13. Study of Dynamic Equivalent of Power System Based on Parameter Identification,TM712
  14. Security Risk Assessment and Vulnerability Analysis in Electrical Power System,TM711
  15. Research on Power System Static Security Risk Assessment Method,TM732
  16. Research of a Medium and Long-term Load Forecasting Method,TM715
  17. Research on Key Issuses of Network Loss Reduction for QinGPU Distribution Power GRID,TM714.3
  18. Including wind farm grid voltage stability studies,TM712
  19. Including wind farm grid voltage region of bifurcation theory,TM712
  20. AC-DC Hybrid Transmission System Voltage Stability,TM712
  21. The Reliability Evaluation of Large-scale Power Supply System and Voltage Sag Based on the Analytical Method,TM732

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