Cooperation of Storage Operation in a Power Network With Renewable Generation
Cooperation of Storage Operation in a Power Network With Renewable Generation
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电网储能运行与可再生能源发电的配合
DOI：
10.1109/tsg.2016.2542367
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发表时间：
2016
影响因子：
9.6
通讯作者：
Tony Q. S. Quek
中科院分区：
文献类型：
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作者：
Subhash Lakshminarayana;Yunjian Xu;H. Poor;Tony Q. S. Quek
在本文中，我们寻求正确安排多个存储设备的运行，以最大限度地减少间歇性可再生能源发电电网中的预期总成本（常规发电）。由于电力网络的约束使得通过基于动态规划的方法计算最佳存储操作策略变得困难，因此我们提出了一种基于李亚普诺夫优化的在线算法（LOPN），该算法仅根据系统的当前状态（即当前需求和可再生能源发电）做出决策。所提出的算法计算简单并且实现渐近最优性（随着能量存储容量的增大）。为了提高LOPN算法在存储容量有限的情况下的性能，我们提出了一种基于阈值的储能管理（TESM）算法，该算法利用未来几个时段的预测信息（按需和可再生发电）来做出存储操作决策。在IEEE 6总线和9总线测试系统上进行数值实验，验证LOPN的渐近最优性，并比较LOPN和TESM的性能。数值结果表明，当存储容量较小时，TESM 显着优于 LOPN。
In this paper, we seek to properly schedule the operation of multiple storage devices so as to minimize the expected total cost (of conventional generation) in a power network with intermittent renewable generation. Since the power network constraints make it intractable to compute optimal storage operation policies through dynamic programming-based approaches, we propose a Lyapunov optimization-based online algorithm (LOPN), which makes decisions based only on the current state of the system (i.e., the current demand and renewable generation). The proposed algorithm is computationally simple and achieves asymptotic optimality (as the capacity of energy storage grows large). To improve the performance of the LOPN algorithm for the case with limited storage capacity, we propose a threshold-based energy storage management (TESM) algorithm that utilizes the forecast information (on demand and renewable generation) over the next a few time slots to make storage operation decisions. Numerical experiments are conducted on IEEE 6- and 9-bus test systems to validate the asymptotic optimality of LOPN, and compare the performance of LOPN and TESM. Numerical results show that TESM significantly outperforms LOPN when the storage capacity is relatively small.