Simulation and size optimization of a pumped–storage power plant for the recovery of wind-farms rejected energy
Simulation and size optimization of a pumped–storage power plant for the recovery of wind-farms rejected energy
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DOI：
10.1016/j.renene.2007.08.001
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发表时间：
2008-07
期刊：
影响因子：
8.7
通讯作者：
J. Anagnostopoulos;D. Papantonis
中科院分区：
文献类型：
--
作者：
J. Anagnostopoulos;D. Papantonis
风力-水力混合发电似乎是一个有吸引力的解决方案，孤立的，自治的电网，以增加风能渗透率和成本效益。这项工作提出了一种数值方法，用于优化设计的可逆液压系统的各个部件的尺寸，以回收由于电网限制而被风电场拒绝的电能。该算法应用于研究一个实际的情况下，使用时间变化的数据，拒绝从安装在希腊克里特岛的风力发电场的功率。该系统的自由设计参数包括涡轮机尺寸、水泵尺寸和数量、压力管道直径和厚度以及水库容量，同时还考虑了一些关键的财务参数。数值计算程序结合了一个评估算法，详细模拟了工厂的运作在12个月的时间，和一个自动优化软件的基础上进化算法。经济分析采用动态评估方法，并使用单目标或多目标优化来检查各种目标的可达性。此外，开发的数值工具用于执行几个参数的研究和敏感性测试，以深入分析最重要的参数对工厂运行和经济行为的影响。结果表明，一个良好的优化设计可能是至关重要的技术和经济可行性的检查系统。
The hybrid wind–hydro power generation appears to be an attractive solution for isolated, autonomous electric grids in order to increase the wind energy penetration and cost-effectiveness. This work presents a numerical methodology for optimum sizing of the various components of a reversible hydraulic system designed to recover the electric energy that is rejected from wind farms due to imposed grid limitations. The algorithm is applied to study a practical case using time variation data of rejected power from a number of wind farms installed in the island of Crete, Greece. The free design parameters of the system include the turbine size, the size and the number of the pumps, the penstock diameter and thickness, and the reservoirs’ capacity, whereas some critical financial parameters are also considered. The numerical procedure combines an evaluation algorithm that simulates in detail the plant operation during a 12-month period, and an automated optimization software based on evolutionary algorithms. The economic analysis uses dynamic evaluation methods and the attainability of various objectives is examined using single or multi-objective optimizations. In addition, the developed numerical tool is used to perform several parametric studies and sensitivity tests in order to analyse in depth the influence of the most important parameters on the plant operation and economic behaviour. The results showed that a well optimized design may be crucial for the technical and economic viability of the examined system.