Reactive Power Optimization for Power System with Wind Farm Based on Improved Particle Swarm Algorithm

Han Ping Zhang

doi:10.4028/www.scientific.net/AMM.543-547.668

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Modeling Large-Scale Wind Farms for Reliability Analysis Considering Wake Effect
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Collimate LED Light to Uniform Illumination with Refractive-Reflective Optical System
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Design of Lock-In Amplifier Based on Down-Sampling Mean Filter
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Reactive Power Optimization for Power System with Wind Farm Based on Improved Particle Swarm Algorithm
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The Comparison and Analysis of Low-Temperature Economizer Configuration Scheme
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High-Performance LC Resonant Amplifier Design and Implementation
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Reactive Power Optimization for Power System with...

Reactive Power Optimization for Power System with Wind Farm Based on Improved Particle Swarm Algorithm

Abstract:

The problem of power system reactive power optimization is a mathematical problem with multiple variables and constraints, which is complex and non-linear. The control variables include continuous variables and discrete variables; its difficult to get the optimal solution. A solution in power flow calculation is put forward after the mathematical model of wind farm is built in this paper. Based on this, taking the WSCC 9 nodes system as an example, use the particle swarm algorithm to solve the reactive power optimization problem. The result shows that this algorithm has an apparent positive effect on reducing system power loss and improving system voltages.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

668-672

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.668

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Online since:

March 2014

Authors:

Han Ping Zhang*

Keywords:

Improved Particle Swarm Algorithm, Reactive Power Optimization, Wind Farm

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