摘要
为增强配电网抵御台风灾害的能力,提出了一种灾前-灾后两阶段优化调度模型。在灾前阶段,根据预测的台风移动路径构建了台风灾害造成线路故障的概率模型,并采用蒙特卡洛法模拟配电网线路的故障状态。以最小化移动储能车预布局成本和负荷削减风险成本为目标,对移动储能车的预布局位置进行优化。在灾后阶段,动态调度移动储能车的接入位置和充放电时序,以实现线路故障期间负荷削减成本的最小化。通过改进的IEEE 33节点系统验证了所提模型的有效性,结果表明该模型能够显著提升配电网在台风灾害情况下的韧性。
To enhance the resilience of distribution networks against typhoon disasters,a two-stage optimal dispatching model has been proposed.In the pre-disaster phase,a probabilistic model of line failures due to typhoons is constructed based on predicted storm trajectories,employing Monte Carlo simulations to mimic potential fault states in the distribution network lines.The objective is to minimize both the pre-deployment costs and the risk-associated load reduction expenses for mobile energy storage vehicles by optimizing their strategic placement.During the post-disaster phase,dynamic scheduling of mobile energy storage vehicle access points and their charging/discharging sequences is employed to minimize load shedding costs amidst line outages.The efficacy of this model is corroborated through tests on an enhanced IEEE 33-node system,demonstrating significant improvements in network resilience against typhoon-induced disruptions.
作者
滕桂萍
岑贤贡
TENG Guiping;CEN Xiangong(Baise New Aluminum Power Co.,Ltd.,Baise 533000,Guangxi,China;Guangxi Dongba Hydropower Co.,Ltd.,Baise 533000,Guangxi,China)
出处
《电力大数据》
2024年第7期71-79,共9页
Power Systems and Big Data
关键词
台风灾害
配电网
优化调度
移动储能车
蒙特卡洛法
IEEE33节点系统
typhoon disaster
distribution network
optimized scheduling
mobile energy storage vehicle
monte carlo method
IEEE 33-bus system
