Optimal Configuration of Wind–Solar–Thermal-Storage Power Energy Based on Dynamic Inertia Weight Chaotic Particle Swarm
The proposed approach involves a method of joint optimization configuration for wind–solar–thermal-storage (WSTS) power energy bases utilizing a dynamic inertia weight chaotic particle swarm optimization (DIWCPSO) algorithm. The power generated from the combination of wind and solar energy is analyz...
Main Authors: | Sile Hu, Yuan Gao, Yuan Wang, Yuan Yu, Yue Bi, Linfeng Cao, Muhammad Farhan Khan, Jiaqiang Yang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-02-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/17/5/989 |
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