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This design is based on determining the optimal size of each of the energy resources that would meet the energy demand at the least cost of energy (COE) while considering reliability. To achieve this Cultural Algorithm (CA) is used with the objective to minimize the levelized cost of energy (COE) considering the loss of power supply probability (LPSP) reliability constraint. The energy mix consisting of Solar/ Photovoltaic (PV), wind and battery storage is considered to determine the right size with the least cost of energy considering the loss of power supply probability reliability index. The design verified using Matlab 2020a/2021b version.
The main objectives of this design are follows,
1.To collect and carry out data analysis of the load demand, solar irradiation, and winds speed data.
2.To Model the Hybrid Power System and its component.
3.To optimally size for reduced levelized cost of energy of the microgrid’s hybrid energy sources using cultural algorithm (CA) considering LPSP reliability constraint.
4.Validate results obtained from Cultural Algorithm using Matlab Software.
DATABASE LINK:
https://pvwatts.nrel.gov/pvwatts.php (Hourly Data)
REFERENCES
Reference Paper-1: Optimal Sizing of Solar/Wind Hybrid Off-Grid Microgrids Using an Enhanced Genetic Algorithm
Author’s Name: Abdrahamane Traore, Hatem Elgothamy and, Mohamed A. Zohdy
Source: Journal of Power and Energy Engineering
Year:2018
DOWNLOAD the Matlab(P-code) encrypted code from the below URL,
https://drive.google.com/file/d/10xDnOAxwMlOHCphzSmvoqTDCorFamHKy/view?usp=sharing
SIMULATION VIDEO DEMO
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