Optimal configuration for solar power generation

This model provides insights into the optimal configuration of CSP with different penetrations of wind power in the case study. The results show that to obtain a better profit for the CSP plant, large solar multiple (more than 3.0) and TES (more than 13 h) are preferred to collaborate with high penetration of wind and photovoltaic plants.
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Optimal configuration for solar power generation

About Optimal configuration for solar power generation

This model provides insights into the optimal configuration of CSP with different penetrations of wind power in the case study. The results show that to obtain a better profit for the CSP plant, large solar multiple (more than 3.0) and TES (more than 13 h) are preferred to collaborate with high penetration of wind and photovoltaic plants.

This model provides insights into the optimal configuration of CSP with different penetrations of wind power in the case study. The results show that to obtain a better profit for the CSP plant, large solar multiple (more than 3.0) and TES (more than 13 h) are preferred to collaborate with high penetration of wind and photovoltaic plants.

In this paper, we propose an optimal configuration method for CSP in multienergy power systems to fully utilize the CSP benefits. We first improve the variational autoencoder (VAE) to describe the uncertainty in power systems and generate scenarios for the configuration model.

It was shown that the optimal configuration of a hybrid renewable energy system (HRES) is a combination of solar PV, wind turbine, diesel generator, and battery storage. The appropriate structure of HRES can bring several benefits such as continuous power supply, high efficiency, low maintenance cost and efficient load management.

An improved particle swarm optimization method is proposed to fill the gap in the field of optimal configuration of hybrid system components. Uncertainties related to meeting the load demand in standalone systems are correctly resolved by a hybrid PV panel and battery storage system based on an energy management strategy.

This paper developed a MILP model to find optimal size of a concentrated solar power type parabolic trough system with thermal energy storage. The optimal configuration is chosen based on the minimum levelized cost of energy considering technical, reliability, demand requirements, and charging and discharging limitations.

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