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Multi-objective optimization of PV-CSP system in different dispatch strategies, case of study: Midelt city
Journal of Renewable and Sustainable Energy ( IF 2.5 ) Pub Date : 2021-01-25 , DOI: 10.1063/5.0025928
Loubna Bousselamti 1 , Wafaa Ahouar 1 , Mohamed Cherkaoui 1
Affiliation  

Photovoltaic-concentrated solar power (PV-CSP) hybridization has been experienced to combine the competitive advantages of the low cost of PV systems and the high energy dispatchability of a CSP plant coupled with a thermal storage system. The objective of this paper is to implement an optimization study of the PV-CSP system under different dispatch strategies, in order to get an optimal PV-CSP configuration and strategy to cover a baseload generation taking into account the equivalent operating hours for the power block. Therefore, a model of PV-CSP plant was established and a multi-objective optimization using the genetic algorithm was adopted. The purpose of the first optimization is to minimize the levelized cost of electricity (LCOE) and to maximize the capacity factor simultaneously. For the second optimization, reducing the dumped energy is added as a criterion. The results obtained were presented in a Pareto frontier that shows a trade-off between the three objectives. An example of the multi-criteria decision method called the TOPSIS method was applied to choose a unique solution. The selection of the dispatch strategy is highly linked to the optimal PV-CSP configuration obtained by optimization results. In addition, the concept of equivalent operating hours is used to further the selection of the dispatch strategy. The dispatch strategy that maintains the power block operation at minimum rated power is more suitable and results in a high capacity factor, low LCOE, and low dumped energy. Furthermore, it minimizes the turbine starts and maximizes power block operating hours. The simulation model has been investigated in a case study of Midelt city in Morocco.

中文翻译:

不同调度策略下的PV-CSP系统多目标优化研究,案例研究:米德尔特市

光伏集中式太阳能(PV-CSP)混合已经具有将光伏系统成本低廉和CSP工厂与储热系统的高能量可分配性相结合的竞争优势。本文的目的是对不同调度策略下的PV-CSP系统进行优化研究,以便获得最佳的PV-CSP配置和策略,从而在考虑功率块等效工作时间的情况下覆盖基本负荷的产生。因此,建立了PV-CSP装置的模型,并采用遗传算法进行了多目标优化。第一个优化的目的是最小化平均电费(LCOE)并同时最大化容量因子。对于第二个优化,增加减少的能量消耗作为标准。获得的结果显示在帕累托边界中,该边界显示了这三个目标之间的权衡。一个名为TOPSIS方法的多准则决策方法的示例被用来选择唯一的解决方案。调度策略的选择与优化结果获得的最佳PV-CSP配置密切相关。此外,等效工作时间的概念用于进一步选择调度策略。将功率块的运行保持在最小额定功率的调度策略更合适,并且会导致高容量系数,低LCOE和低能耗。此外,它最大程度地减少了涡轮机的启动,并使动力块的运行时间最大化。
更新日期:2021-02-26
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