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Stochastic Scheduling of Mobile Energy Storage in Coupled Distribution and Transportation Networks for Conversion Capacity Enhancement
IEEE Transactions on Smart Grid ( IF 8.6 ) Pub Date : 2020-08-10 , DOI: 10.1109/tsg.2020.3015338
Xiaochuan Liu , Cheong Boon Soh , Tianyang Zhao , Peng Wang

Mobile energy storage systems (MESSs) is a promising solution to enhancing the operational flexibility of coupled distribution and transportation networks (CDTNs), as well as the conversion capacities of hybrid AC/DC microgrids (MGs). To achieve the coordination among MESSs, hybrid AC/DC microgrids and CDTNs, while considering the system uncertainties from variable renewable energy (VRE) sources and the daily traffic demands of common vehicles in transportation networks, a two-stage stochastic management scheme is proposed to minimize the expected system operational cost. In the first-stage, the vehicle scheduling problem of MESSs is modeled and optimized based on the proposed user-equilibrium-based multi-layer multi-timescale time-space network model to fully utilize the mobility of MESSs under traffic uncertainties, i.e., MESSs are scheduled to travel within CDTNs for energy transfer or local energy scheduling. In the second-stage, the actual charging/discharging behaviors of MESSs, outputs of VRE sources and the power conversions at each MG are adjusted in accordance with uncertainty realizations. The proposed model is verified on a test system with Sioux Falls transportation network and a 33-bus distribution system. The results demonstrate the effectiveness of MESSs mobility to serve as potential power conversion enhancements for MGs with mismatched generation and conversion capabilities.

中文翻译:

配网和运输网络中移动储能的随机调度以提高转化能力

移动储能系统(MESS)是一种有前途的解决方案,可以增强耦合的配电和运输网络(CDTN)的操作灵活性以及混合AC / DC微电网(MG)的转换能力。为了实现MESS,AC / DC混合微电网和CDTN的协调,同时考虑可变可再生能源(VRE)来源的系统不确定性以及交通网络中普通车辆的日常交通需求,提出了一种两阶段随机管理方案最小化预期的系统运营成本。在第一阶段,基于所提出的基于用户均衡的多层多时标时空网络模型,对MESS的车辆调度问题进行建模和优化,以充分利用MESS在交通不确定性下的移动性。MESS被安排在CDTN内旅行以进行能量转移或本地能量调度。在第二阶段,根据不确定性的实现来调整MESS的实际充电/放电行为,VRE源的输出以及每个MG的功率转换。该模型在带有苏福尔斯(Sioux Falls)交通网络和33辆公共汽车的配电系统的测试系统上得到了验证。结果表明,MESS移动性可以有效地为具有不匹配的发电和转换功能的MG提供潜在的功率转换功能。该模型在带有苏福尔斯(Sioux Falls)交通网络和33辆公共汽车的配电系统的测试系统上得到了验证。结果表明,MESS移动性可以有效地为具有不匹配的发电和转换功能的MG提供潜在的功率转换功能。该模型在带有苏福尔斯(Sioux Falls)交通网络和33辆公共汽车的配电系统的测试系统上得到了验证。结果表明,MESS移动性可以有效地为具有不匹配的发电和转换功能的MG提供潜在的功率转换功能。
更新日期:2020-08-10
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