考虑台风时空演变的配电网移动储能优化配置与运行策略
Optimal Configuration and Operation Strategy of Mobile Energy Storage in Distribution Network Considering Spatial-Temporal Evolution of Typhoon
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摘要: 针对台风极端灾害下配电网难以保障安全可靠用电的问题,考虑台风时空演变对配电网线路故障状态的影响,提出了一种基于场景概率的鲁棒优化配电网移动储能配置与运行策略,以提升配电网弹性。首先,将配电网所在地理区域网格划分后建立映射坐标系,并根据气象信息建立台风灾害时空演变模型,从而构建配电线路故障率时空特性矩阵。然后,基于线路故障时空特性概率矩阵确定脆弱线路,采用鲁棒优化寻找概率场景下移动储能最优配置与运行策略,以最小化台风灾害期间受灾配电网的经济损失,建立移动储能优化配置与运行的3层鲁棒优化模型,充分利用移动储能的灵活性在台风灾害期间为配电网提供分阶段电力支撑。最后,采用改进的IEEE 33节点配电网进行算例分析,验证所提优化策略的适用性。Abstract: Aiming at the problem that the distribution network cannot guarantee the safe and reliable power consumption during the typhoon extreme disasters, considering the influence of spatial-temporal evolution of typhoon on the line fault status of distribution networks, a robust optimization of configuration and operation strategy of mobile energy storage in the distribution network based on scenario probability is proposed to enhance the resilience of distribution networks. Firstly, after the geographical area of distribution networks is gridded, the mapping coordinate system is built. The spatial-temporal evolution model of the typhoon disaster is established based on the meteorological information, and then the spatial-temporal characteristic matrix of the distribution line failure rate is established. Secondly, based on the spatial-temporal characteristic probability matrix of line failure,the vulnerable lines are determined, and the robust optimization is used to find the optimal configuration and operation strategy of mobile energy storage in the probability scenario to minimize the economic loss of the disaster-affected distribution network during the typhoon disaster. A three-layer robust optimization model is established for the optimal configuration and operation of mobile energy storage, and the flexibility of mobile energy storage is fully used to provide the phased power support for the distribution network during the typhoon disaster. Finally, the improved IEEE 33-bus distribution network is used for case analysis and the applicability of the proposed optimal strategy is illustrated.