多源协同的智能配电网故障恢复次序优化决策方法

Restoration Sequence Decision-Making for Smart Distribution System Considering Multiple Sources Coordination

当因极端事件导致电力系统发生大规模停电时,可以协同配电网中的分布式电源、储能系统等本地资源恢复网内重要负荷,以提升配电网韧性。为了快速平稳地使系统从停电后状态过渡至恢复状态,需要优化开关投切次序。文章提出了多源协同的智能配电网故障恢复操作次序优化决策方法,将问题建模为混合整数线性规划模型,并利用成熟的商业优化求解器快速求解,确定最优的开关投切操作次序以及每次恢复操作后的系统运行状态。优化模型计及负荷重要度权重,以快速恢复重要负荷为目标,考虑了三相不对称潮流约束、系统运行约束以及恢复过程中的恢复操作约束等。通过改进的IEEE 13节点系统和IEEE 123节点系统验证了所提出的配电网故障恢复次序优化决策方法的有效性。

When a serious outage occurs in distribution system due to extreme events,some local resources such as distributed power sources and energy storage systems can be coordinated to restore critical loads and enhance resilience. In order to change the distribution system from fault state to restoration state quickly and smoothly,it is necessary to optimize the switching operation sequence. This paper proposes a restoration operation sequence decision-making method for smart distribution systems considering multiple sources coordination. The problem is modeled as a mixed-integer linear program which can be solved by the mature commercial optimization solver to determine the optimal switching operation sequence and system operating status after each operation. The objective is to serve more critical loads as fast as possible considering their priority. The unbalanced three-phase power flow constraints,operation constraints and in-process switch operation constraints are considered. The effectiveness of the proposed method is validated by numerical simulation with the modified IEEE 13-node test system and the modified IEEE 123-node test system.