高比例分布式电源因其出力的不确定性,导致配电网源-荷功率在时空上严重失衡,由此引发的功率潮汐效应加剧了关键节点安全风险,削弱了系统多维防御能力。储能支撑型柔性互联装置(energy storage system-integrated soft open point,E-SOP)虽能有效弥补时空功率缺口,但受限于装置成本及对经济性与求解复杂度的优先考虑,现有研究往往对E-SOP进行理想化建模,忽略了直流环节扩展后电压与载流波动对安全运行的影响,且节点安全裕度缺乏动态边界关联,导致弹性评估失真甚至陷入局部最优。提出一种计及直流环节计算的E-SOP安全规划-运行双层协同优化方法,通过构建含直流环节动态特征的E-SOP精细化模型量化内部功率平衡,并建立设备-节点多维安全裕度模型追踪功率对设备与节点的累积影响,进而围绕所提规划-运行双层架构,结合差分进化算法迭代优化E-SOP的选址与调度。最后,基于改进IEEE 123节点系统验证所提方法在设备安全、网络弹性与低碳经济性等多目标间的均衡效果明显,可为柔性互联下的配电网提供一种新的解决方案。
Abstract
High penetration of distributed generators introduces severe spatiotemporal source-load imbalances in distribution networks
thereby intensifying risks at critical nodes and undermining defensive capabilities through the power tidal effect. Although energy storage system-integrated soft open point (E-SOP) can effectively compensate for spatiotemporal power deficits
existing researches constrained by cost concerns and computational complexity often employ idealized E-SOP models
which ignore voltage and current fluctuations in expanded DC-links
and lack dynamic node security margins
leading to distorted resilience assessments and local optima. This paper proposes a bi-level collaborative regulation- operation optimization method for E-SOP security concerning DC-link calculation: This paper develops a refined E-SOP model embedding dynamic DC-link characteristics to quantify internal power equilibrium
and establishes a model concerning device-node security with multi-dimensional margins to track power impacts on operational boundaries. Based on the proposed bi-level collaborative optimization framework
this paper employs differential evolution algorithm to optimize E-SOP site selection and dispatch strategy. In the modified IEEE 123-node system
the effectiveness is verified among device safety
grid resilience and low-carbon economy
providing an innovative solution for the distribution network with flexible interconnection.