filmov
tv
Optimal dispatch for a microgrid incorporating renewables and demand response Matlab Code

Показать описание
Take a look at further modifications
Get MATLAB Code Here
Optimal Dispatch for a Microgrid using Dragonfly Algorithm Matlab Code
Description:
I have simulated an optimal economic dispatch of a grid-connected microgrid. The microgrid consists of solar photovoltaic, diesel and wind power sources. An Incentive-Based Demand Response Program is incorporated into the operations of the grid-connected microgrid.
The optimal dispatch strategy is obtained by minimizing the conventional generators fuel cost, the transaction costs of the transferable power and maximizing the microgrid demand response benefit whilst simultaneously satisfying the load demand constraints amongst other constraints.
The developed mathematical model is tested on two practical case studies and sensitivity analysis of the model to key parameters was also performed. Case study 1 consists of three conventional generator units, one wind generator, one solar generator and three rural customers. Case study 2 is a much larger microgrid and was chosen to test the applicability of our model to larger microgrids and also to verify the scalability of our algorithm. The paper has used AIMMS but I have applied swarm intelligence (PSO algorithm) using Matlab. I have obtained the results only for case1. If you need case 2, we can talk about it. For the sake of time limitation, I will pause the video and show you the final results for case 1.
Good luck
Get MATLAB Code Here
Optimal Dispatch for a Microgrid using Dragonfly Algorithm Matlab Code
Description:
I have simulated an optimal economic dispatch of a grid-connected microgrid. The microgrid consists of solar photovoltaic, diesel and wind power sources. An Incentive-Based Demand Response Program is incorporated into the operations of the grid-connected microgrid.
The optimal dispatch strategy is obtained by minimizing the conventional generators fuel cost, the transaction costs of the transferable power and maximizing the microgrid demand response benefit whilst simultaneously satisfying the load demand constraints amongst other constraints.
The developed mathematical model is tested on two practical case studies and sensitivity analysis of the model to key parameters was also performed. Case study 1 consists of three conventional generator units, one wind generator, one solar generator and three rural customers. Case study 2 is a much larger microgrid and was chosen to test the applicability of our model to larger microgrids and also to verify the scalability of our algorithm. The paper has used AIMMS but I have applied swarm intelligence (PSO algorithm) using Matlab. I have obtained the results only for case1. If you need case 2, we can talk about it. For the sake of time limitation, I will pause the video and show you the final results for case 1.
Good luck
Комментарии