Decision Support System for Adaptive Restoration Control of Transmission System
Decision Support System for Adaptive Restoration Control of Transmission System
复制标题
输电系统自适应恢复控制决策支持系统
DOI：
10.35833/mpce.2021.000030
复制
发表时间：
2021
影响因子：
6.3
通讯作者：
Lili Hao
中科院分区：
文献类型：
--
作者：
Ze Li;Yusheng Xue;Haohao Wang;Lili Hao
电力系统恢复控制比连锁故障预防控制具有更高的不确定性。为了保证恢复控制决策支持系统的可行性，提出了一种输电系统自适应恢复控制决策支持框架，能够支持多个分区的协调恢复、机组和负荷的协调恢复、多分区决策过程与实际恢复过程的协调。所提出的框架分为两层，全局协调层和分区优化层。上层根据停电场景对传输系统进行分区，在恢复过程中不断动态调整分区，优化分区间连通性的时空决策。对于每个分区，下层根据预计的恢复收入预选恢复目标，优化相应的恢复路径，并根据预计的单位用电量净收入评估恢复方案。在恢复过程中，如果停电支路上电等恢复操作失败，则将当前恢复方案自适应切换到次优方案，或者必要时重新优化。该框架包括在线运行模式和训练模拟模式两种运行模式，并提供与相关配电系统协同恢复的信息交互接口。通过使用修改后的 IEEE 118 总线系统进行模拟，证明了所提出框架的有效性和适应性。
The power system restoration control has a higher uncertainty level than the preventive control of cascading failures. In order to ensure the feasibility of the decision support system of restoration control, a decision support framework for adaptive restoration control of transmission system is proposed, which can support the coordinated restoration of multiple partitions, coordinated restoration of units and loads, and coordination of multi-partition decision-making process and actual restoration process. The proposed framework is divided into two layers, global coordination layer and partition optimization layer. The upper layer partitions the transmission system according to the power outage scenario, constantly and dynamically adjusts the partitions during the restoration process, and optimizes the time-space decision-making of inter-partition connectivity. For each partition, the lower layer pre-selects restoration targets according to the estimated restoration income, optimizes the corresponding restoration paths, and evaluates the restoration plans according to the expected net income per unit of power consumption. During the restoration process, if the restoration operation such as energizing the outage branch fails, the current restoration plan will be adaptively switched to the sub-optimal one or re-optimized if necessary. The framework includes two operation modes, i.e., the on-line operation mode and training simulation mode, and provides an information interaction interface for collaborative restoration with related distribution systems. The effectiveness and adaptability of the proposed framework is demonstrated by simulations using the modified IEEE 118-bus system.