Voltage stability enhancement using VSC-OPF including wind farms based on Genetic algorithm

• Improved GA has been applied on IEEE 30 bus systems as a multi-objective function.
• For both cases without and with wind turbine model has been coded on IEEE 30 bus systems.
• In weakest branches to install the wind turbine has been found out by using Modal analysis.
• Contingency analysis was conducted on the system by simulating the single line outages.
• In every cases cost and L-index has been optimized.

This paper describes the impact of wind generation to enhance the voltage stability of power system in optimal power flow problem. In this work, the Voltage Stability Constrained Optimal Power Flow (VSCOPF) algorithm is used, which combines the economical aspects and the voltage stability control of power system networks. A voltage stability index called L-index has been utilized to identify the most sensitive node prone to voltage collapse. Here Improved Genetic Algorithm (IGA) with mixed form of representation has been used for multi-objective formulation. Real power setting and voltage magnitudes are represented as floating point numbers and transformer tap settings and capacitors as integers. For effecting genetic processing, crossover and mutation operator, which can be directly deal with floating point number and integers, are used. The IGA has been implemented on IEEE 30 bus system to study the impact of wind farm on voltage stability. The obtained simulation shows the effectiveness of Improved Genetic algorithm on voltage stability of the power systems.