Date of Award
1-1-2015
Document Type
Thesis
Degree Name
M.S.
Department
Electrical Engineering
First Advisor
David Wenzhong Gao, Ph.D.
Keywords
Exterior Penalty Function, Loss Minimization, MATPOWER, Particle Swarm Optimization, Reactive Power Dispatch
Abstract
Reactive power is critical to the operation of the power networks on both safety aspects and economic aspects. Unreasonable distribution of the reactive power would severely affect the power quality of the power networks and increases the transmission loss. Currently, the most economical and practical approach to minimizing the real power loss remains using reactive power dispatch method.
Reactive power dispatch problem is nonlinear and has both equality constraints and inequality constraints. In this thesis, PSO algorithm and MATPOWER 5.1 toolbox are applied to solve the reactive power dispatch problem. PSO is a global optimization technique that is equipped with excellent searching capability. The biggest advantage of PSO is that the efficiency of PSO is less sensitive to the complexity of the objective function. MATPOWER 5.1 is an open source MATLAB toolbox focusing on solving the power flow problems. The benefit of MATPOWER is that its code can be easily used and modified.
The proposed method in this thesis minimizes the real power loss in a practical power system and determines the optimal placement of a new installed DG. IEEE 14 bus system is used to evaluate the performance. Test results show the effectiveness of the proposed method.
Recommended Citation
Kou, Xiao, "Particle Swarm Optimization Based Reactive Power Dispatch for Power Networks with Distributed Generation" (2015). Electronic Theses and Dissertations. 1035.
https://digitalcommons.du.edu/etd/1035
Provenance
Received from ProQuest
Rights holder
Xiao Kou
File size
97 p.
Copyright date
2015
File format
application/pdf
Language
en
Discipline
Electrical Engineering
Comments
Copyright is held by the author.