论文标题
用于最小化频率偏差的存储放置策略:组合优化方法
Storage placement policy for minimizing frequency deviation: A combinatorial optimization approach
论文作者
论文摘要
随着可再生资源的份额增加了对适当尺寸的多个存储单元的需求,并且位置对于实现更好的惯性响应至关重要。这项工作着重于“如何在瞬态事件下分布gird中恒定数量的存储单元,以使最大频率偏差的惯性响应最小化?”。为了回答这个问题,我们为在空间效果下的量子单元放置和频率稳定性提供了全面的建模框架。分布式存储单元被建模为网格支撑逆变器,并且网格中的总存储容量是根据干扰后允许的稳态频率偏差来界定的。找到最佳分布的问题可以视为由高维解决方案组成的组合问题。从这个角度来看,我们基于蛮力搜索和跨凝结方法的适应来开发两种数字方法,以找到最佳的分布,并在对未来以色列网格的案例研究中对其进行了检查。案例研究的结果提供了一个新的见解 - 储存单元应在干扰区域周围放置,包括根据网络拓扑的惯性高的地点。
As the share of renewable sources is increasing the need for multiple storage units appropriately sized and located is essential to achieve better inertial response. This work focuses on the question of "how to distribute constant number of storage units in the gird under transient events such that the inertial response of the maximum frequency deviation is minimized?". To answer this question, we provide a comprehensive modeling framework for energy storage units placement and size for frequency stability under spatial effects. The distributed storage units are modeled as grid supporting inverters and the total storage capacity in the grid is bounded based on the allowed steady-state frequency deviation after disturbances. The problem of finding the optimal distributions can be considered as combinatorial problem which consists of high dimensional solutions. In this light, we develop two numeric approaches based on Brute-force search and adaptation of the Cross-entropy method for finding the best distribution and examined it on a case study of the future Israeli grid. The results on the case study provide a new insight---the storage units should be placed around the area of the disturbances, including in sites with high inertia in accordance to the network topology.