Optimize size and location of distributed wind generation using NSGA II
Hi Everyone,
I’m trying to optimize the distributed wind generation in a radial distribution system using NSGA II algorithm.
I have voltage profile of the system, system loss, voltage unbalance factor, and saving as the objective function of the system. Each of the system objectives are bound with constraints and I’m using penalty factor approach to handle the constraints.
I have done coding the objective functions. But I do not understand how the NSGA II will identify and change the value of the original input data file of the radial power system bus data. So that NSGA II will test different combination of wind generation size and location to optimize the system.
Can some one help me to code or understand the logic behind inputting objective functions in to NSGA II code.
Do I have to do the power flow inside the objective function since it have to run each iteration to calculate the objective function for different combination of distributed generation size? I can post what I have done up to now if some one would like to help me understand what I have done wrong in my code. But I will omit posting messy lengthy code at the moment.
Any type of help or push toward the right direction would be appreciated.
Thank youHi Everyone,
I’m trying to optimize the distributed wind generation in a radial distribution system using NSGA II algorithm.
I have voltage profile of the system, system loss, voltage unbalance factor, and saving as the objective function of the system. Each of the system objectives are bound with constraints and I’m using penalty factor approach to handle the constraints.
I have done coding the objective functions. But I do not understand how the NSGA II will identify and change the value of the original input data file of the radial power system bus data. So that NSGA II will test different combination of wind generation size and location to optimize the system.
Can some one help me to code or understand the logic behind inputting objective functions in to NSGA II code.
Do I have to do the power flow inside the objective function since it have to run each iteration to calculate the objective function for different combination of distributed generation size? I can post what I have done up to now if some one would like to help me understand what I have done wrong in my code. But I will omit posting messy lengthy code at the moment.
Any type of help or push toward the right direction would be appreciated.
Thank you Hi Everyone,
I’m trying to optimize the distributed wind generation in a radial distribution system using NSGA II algorithm.
I have voltage profile of the system, system loss, voltage unbalance factor, and saving as the objective function of the system. Each of the system objectives are bound with constraints and I’m using penalty factor approach to handle the constraints.
I have done coding the objective functions. But I do not understand how the NSGA II will identify and change the value of the original input data file of the radial power system bus data. So that NSGA II will test different combination of wind generation size and location to optimize the system.
Can some one help me to code or understand the logic behind inputting objective functions in to NSGA II code.
Do I have to do the power flow inside the objective function since it have to run each iteration to calculate the objective function for different combination of distributed generation size? I can post what I have done up to now if some one would like to help me understand what I have done wrong in my code. But I will omit posting messy lengthy code at the moment.
Any type of help or push toward the right direction would be appreciated.
Thank you optimization, nsga ii MATLAB Answers — New Questions