Resiliency-based optimization of restoration policies for electric power distribution systems
Resiliency-based optimization of restoration policies for electric power distribution systems
复制标题
DOI：
10.1016/j.epsr.2018.04.007
复制
发表时间：
2018-08
影响因子：
3.9
通讯作者：
Marcelo Figueroa-Candia;F. Felder;D. Coit
中科院分区：
文献类型：
--
作者：
Marcelo Figueroa-Candia;F. Felder;D. Coit
为评估和优化极端天气事件下配电系统的恢复策略，提出了一种基于弹性的建模框架。为了量化弹性，其被理解为允许配电系统从中断状态恢复到正常运行状态的预定义水平的属性，定义了一组评估度量。考虑了包括响应时间组件、信息可用性和服务质量的多维弹性度量。对于给定的一组可能的恢复优先级策略，提出了弹性边界的概念作为系统弹性的上界。对一组可行的恢复策略、信息投资和人力资源可用性执行优化，以确定最优的客户和系统范围的货币效用。该方法在中型配电系统中进行了测试，以获得最优恢复策略并确定资源分配。
A modeling framework based on resiliency is proposed for the evaluation and optimization of restoration policies for electric power distribution systems subject to extreme weather events. In order to quantify resiliency, understood as a property of a power distribution system that allows it to be restored from a disrupted state to a predefined level of normal operating conditions, a set of evaluation metrics is defined. A multi-dimensional resiliency measure is considered that includes response-time components, information availability, and quality of service. The concept ofresiliency frontieris presented as an upper bound for system resiliency for a given set of possible restoration prioritization strategies. Optimization is performed over the set of feasible restoration policies, information investments, and human resource availability to determine optimal customer and system-wide monetary utility. The methodology is tested in medium-sized power distribution systems to obtain optimal restoration policies and determine resource allocation.