In this project, a stochastic programming model is proposed to optimize the performance of the Smart Grid with intergrated renewable energy in terms of operating cost and emissions. The stochastic programming model is based on MOWDO, MOGA and MOGWO to participate in DR program to reduc
An optimal energy management with integrated renewable energy in smart grid
In this project, a stochastic programming model is proposed to optimize the performance of the Smart Grid with intergrated renewable energy in terms of operating cost and emissions.
The stochastic programming model is based on MOWDO, MOGA and MOGWO to participate in DR program to reduce operating cost and carbon emissions.
Following are the objectives of the proposed model:
1) minimize operational cost
2) minimize carbon emissions
Through the the given methods in the summary.
The proposed model is implemented in MATLAB using the following optimization techniques:
1) Multi objective Wind Driven Optimization method. (MOWDO)
2) Multi Objective Genetic optimization method (MOGA).
3) Multi Objective Gray Wolf Optimization method (MOGWO)
By implementing the results
We get the optimize use of renewable energy sources .
Cost is minimized ( so it will be affordable )
Emission is minimized ( so it will not be harmful for human health
The proposed model is implementable which will minimize operational cost and carbon emissions.
We minimized cost 4% more then the previous work.
And emission 7% more then the previous work .
We will compare our results with then given paper which will be more optimized.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Research paper submission | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 10000 |
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