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Photovoltaic capacity optimization of small and medium-sized hydro-photovoltaic hybrid energy systems considering multiple uncertainties

机译:考虑多种不确定性的中小型水力光 - 光伏电能系统光伏容量优化

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The integrated operation of PV power plants and hydropower plants is regarded as an efficient and promising approach for large-scale PV power accommodation. This study mainly focuses on studying the optimal sizing of small and medium-sized hydro-PV systems, which are abundant in the northwest and southwest of China but are rarely considered by the existing researches. In this study, a scenario analysis technique, which includes typical scenario classification, the analysis of the inflow and PV power output under each scenario and scenario combination, is proposed to deal with the uncertainties of the inflow of the hydropower plant and the PV power output. On that basis, an optimization model is developed to determine the optimal size of a PV plant complementarily operating with a hydropower plant, where the hydro-PV hybrid system provides the baseload of local power grid and renewable energy curtailment is not allowed. A two-layer nested algorithm is then proposed to solve the model in a hierarchical structure. In the inner layer, an iterative trial calculation method for coupled dynamic programming is used to optimize the PV capacity for the given scenario. In the outer layer, the traversal search algorithm is employed to search for the optimal PV capacity in each scenario, and a confidence level accumulation method is proposed to determine the PV capacity for different confidence levels. The developed model and method are applied to the Naijili hydro-PV hybrid system which is located in Qinghai Province, China. Case studies demonstrate that the optimization of the PV capacity can significantly promote the consumption of renewable energy and effectively mitigate the adverse impact of PV output fluctuations on the power grids. The optimal PV capacities for different confidence levels are obtained, which can make it easy for planners to determine the installed capacity of the PV plant based on their own appetite for risk. Moreover, it is observed that, for small and medium-sized hydro-PV hybrid systems, the impact of capacity expansion of the hydropower plant on the solar energy consumption and the total power generation of the system is not significant. (C) 2020 Elsevier Ltd. All rights reserved.
机译:PV发电厂和水电站的综合运行被认为是大型光伏电力的高效和有希望的方法。本研究主要集中在研究中国西北部和西南部的中小型水力光伏系统的最佳施胶,但很少被现有研究考虑。在本研究中,提出了一种情景分析技术,包括典型的情景分类,对每个场景和场景组合下的流入和光伏电量的分析,以处理水电站流入的不确定性和PV功率输出。在此基础上,开发了优化模型,以确定与水电站互补地操作的光伏工厂的最佳尺寸,其中水电站混合系统提供了基础的基础,不允许基于局部电网和可再生能量缩减。然后提出了一种双层嵌套算法以在分层结构中解决模型。在内层中,用于耦合动态编程的迭代试验计算方法用于优化给定方案的PV容量。在外层中,采用遍历搜索算法来搜索每个场景中的最佳PV容量,并且提出了置信水平累积方法以确定不同置信水平的PV容量。开发的模型和方法适用于中国青海省的Naijili Hydro-PV混合系统。案例研究表明,PV容量的优化可以显着促进可再生能源的消耗,并有效地减轻PV输出波动对电网的不利影响。获得了不同置信水平的最佳PV能力,这可以使规划者容易地根据其自身的风险胃口来确定PV工厂的装机容量。此外,观察到,对于中小型水PV混合系统,水电站容量扩展对太阳能消耗的影响和系统的总发电并不重要。 (c)2020 elestvier有限公司保留所有权利。

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