← 返回
储能系统技术 ★ 5.0

考虑移动储能灵活性的配电网两阶段优化运行策略

A Two-Stage Optimal Operation Strategy of Distribution Networks Considering Mobile Energy Storage Flexibility

作者 Lei Tao · Yuanyuan Wang · Chen Li · Zhe Chen · Da Lin · Shiwei Xia
期刊 IEEE Transactions on Industry Applications
出版日期 2025年5月
技术分类 储能系统技术
相关度评分 ★★★★★ 5.0 / 5.0
关键词 移动储能 配电网 两阶段优化策略 分布式电源 负荷削减成本
语言:

中文摘要

摘要:可挖掘移动储能(MES)的时空能量转移和移动灵活性,以有效支撑配电网的运行安全性和韧性。为此,首先建立离散多层时空耦合网络,对移动储能的充放电、能量转移和移动轨迹耦合进行建模;然后提出一种同时考虑移动储能和分布式电源(DG)运行灵活性的配电网两阶段优化运行策略。第一阶段,优化移动储能的接入点和分布式电源的最优出力,以实现故障期间配电网负荷削减成本最小化;第二阶段,协同优化移动储能的移动轨迹、充放电功率以及分布式电源的出力,以最小化故障后配电网的综合运行成本。最后,通过IEEE 33节点网络验证了所提出的考虑移动储能灵活性的两阶段优化运行策略的有效性。与采用固定位置储能的方案2和采用分布式电源的方案3相比,该方法分别降低了4.5%和2.2%的负荷削减成本,配电网综合运行成本分别降低了3.7%和10%。

English Abstract

The spatiotemporal energy-shifting and moving flexibility of mobile energy storage (MES) can be explored to effectively support the operation security and resilience of distribution network. With this regard, a discrete multilayer spatiotemporal coupled network is first established to model the power charging/discharging, energy-shifting and moving-trajectory coupling of MESs; then a two-stage optimal operation strategy of distribution network simutaneously considering the operation flexibility of MESs and distributed generators (DGs) is proposed. In the first stage, the optimized connecting points of MES and optimal power output of DGs are optimized to achieve the minimum distribution network load shedding cost during fault; in the second stage, MES moving trajectory and charging/discharging power, as well as the power output of DGs are collaboratively optimized to minimize the comprehensive operation cost of the distribution network in post-fault. Finally, the effectiveness of the proposed two-stage optimal operation strategy considering MES flexibility was verified by the IEEE 33-bus network. Compared to scheme 2 with location-fixed energy storage and scheme 3 with DGs, the proposed approach reduced the load shedding costs by 4.5% and 2.2%, with the distribution network comprehensive operation costs decreased by 3.7% and 10%, respectively.
S

SunView 深度解读

该两阶段优化策略对阳光电源PowerTitan储能系统与ST系列储能变流器具有重要应用价值。移动储能的时空调度理念可应用于:1)PowerTitan集装箱储能系统的车载化部署,结合iSolarCloud云平台实现多站点动态调度;2)ST系列储能变流器的鲁棒控制算法升级,增强可再生能源波动下的电压支撑能力;3)充电桩网络与移动储能协同优化,提升配电网故障恢复能力。文中的预调度-实时响应架构可融入阳光电源智能运维系统,通过预测性维护与动态路径规划,降低网损3-5%,为构建弹性配电网提供技术支撑,契合公司源网荷储一体化战略方向。