Optimal sizing of wind/ concentrated solar plant/ electric heater hybrid renewable energy system based on two-stage stochastic programming

Component capacity and energy management strategy are two key issues for the optimal sizing of a hybrid renewable energy system. In this study, a two-stage stochastic programming problem is proposed for the optimal sizing of a hybrid renewable energy system consisted of wind turbine, concentrated so...

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Veröffentlicht in:Energy (Oxford) Jg. 209; S. 118472
Hauptverfasser: Li, Rong, Guo, Su, Yang, Yong, Liu, Deyou
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 15.10.2020
Elsevier BV
Schlagworte:
Algorithms
Alternative energy
Concentrated solar plant
Economics
Electric heater
energy
Energy conservation
Energy management
Evolutionary algorithms
Evolutionary computation
Hybrid systems
JADE
Optimization
Power supply
probability
Probability theory
Renewable energy
Renewable resources
Sizing
Solar energy
Stochastic programming
Techno-economic analysis
Turbines
Two-stage stochastic programming
Wind power
Wind power generation
Wind turbine
Wind turbines
Electric heater
Concentrated solar plant
Techno-economic analysis
JADE
Wind turbine
Two-stage stochastic programming
ISSN:0360-5442, 1873-6785
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Zusammenfassung:Component capacity and energy management strategy are two key issues for the optimal sizing of a hybrid renewable energy system. In this study, a two-stage stochastic programming problem is proposed for the optimal sizing of a hybrid renewable energy system consisted of wind turbine, concentrated solar plant, and electric heater. In the problem, component capacity optimization is the first-stage problem to minimize the levelized cost of energy while satisfying the reliability constraint, and energy management strategy optimization is the second-stage problem to minimize the loss of power supply probability while satisfying the operation constraints. The problem is solved by combining of an improved differential evolution algorithm, namely JADE, and Cplex, and the superiority of JADE is validated by algorithm comparisons with several popular intelligent optimization algorithms. Furthermore, economic benefits of the electric heater in the hybrid system are investigated by techno-economic comparisons with a reference wind turbine/concentrated solar plant hybrid energy system without electric heater under their optimal capacity. The results show the electric heater is beneficial for a lower levelized cost of energy, reducing by 0.004 ($/kWh) and 0.009 ($/kWh) respectively when the loss of power supply probability is 2% and 5%. [Display omitted] •Two-stage stochastic programming is applied to the optimal sizing of hybrid system.•The system is consisted of wind turbine, concentrated solar plant and electric heater.•The component optimization is integrated with the operation strategy optimization.•A method combining of JADE and Cplex is applied for solving the problem.•Economic benefits of the electric heater is verified by techno-economic comparisons.
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ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2020.118472