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计及储能与分布式电源协同的配电网分层分区优化控制
引用本文:张颖,寇凌峰,季宇,于辉,胡转娣,孙振奥.计及储能与分布式电源协同的配电网分层分区优化控制[J].中国电力,2021,54(2):104-112.
作者姓名:张颖  寇凌峰  季宇  于辉  胡转娣  孙振奥
作者单位:1. 中国电力科学研究院有限公司,北京 100192;2. 东北大学,辽宁 沈阳 110819
基金项目:国家电网公司科技项目(基于分布式/移动储能的配电网灵活性提升技术研究及应用,SGTJDKOODWJS1800008)
摘    要:当前配网面临着大规模分布式电源及多类型储能分散接入的情形,为配网系统的优化管控带来了极大的复杂性。基于分层优化、分区协同的思想,提出了一种区域内自治、区域间协调的配网分层优化体系,以达到大规模分布式电源并网后系统优化运行的目的。在优化调度层中,以各区域与主网交换功率的可调度性为目标建立动态数学模型,通过区域间协同优化实现大规模分布式电源友好并网,得到区域的整点功率交换指令。在区域内控制层中,考虑到不同分布式电源调节能力的差异性,结合储能系统基于模糊策略响应并修正上一级的整点指令,并给出各区域5 min超短期调度指令。在设备级控制中,基于PWM变流器对各储能系统进行实时控制以响应上一级的指令。最后基于算例仿真计算对所提方案进行了验证。

关 键 词:配电网  分布式储能  分布式电源  分区分层  优化控制  
收稿时间:2020-01-16
修稿时间:2020-05-16

Hierarchical and Partitioned Optimal Control of Distribution Networks Considering the Coordination Between Energy Storage and Distributed Generation Systems
ZHANG Ying,KOU Lingfeng,JI Yu,YU Hui,HU Zhuandi,SUN Zhen’ao.Hierarchical and Partitioned Optimal Control of Distribution Networks Considering the Coordination Between Energy Storage and Distributed Generation Systems[J].Electric Power,2021,54(2):104-112.
Authors:ZHANG Ying  KOU Lingfeng  JI Yu  YU Hui  HU Zhuandi  SUN Zhen’ao
Affiliation:1. China Electric Power Research Institute, Beijing 100192, China;2. Northeastern University, Shenyang 110819, China
Abstract:The current distribution network is facing the challenge of large-scale distributed generation and diverse forms of energy storage being integrated into the distribution network, which has brought extreme complexity to the optimal management and control of distribution system. Inspired by the idea of layered optimization and partition coordination, a layered optimization system for distribution networks with regional autonomy and coordination among regions was proposed to achieve the purpose of system optimization after the integration of large-scale distributed generation into the bulk power grid. At the optimal dispatch layer, the dynamic mathematical model is established with the power exchange between each regions and the main power grid as the objective function. Then through the optimization coordinated by each regions, the large-scale distributed energy resources are connected to the grid smoothly and hourly schedules of the inter-region power exchange are obtained. At the control layer within the region, considering the discrepancies between the regulation capabilities of each distributed energy source, the dispatch order from upper layer is revised based on fuzzy control logic in combination with the energy storage system. Additionally the 5min ultra short term dispatch order is also issued for each region. At the unit control layer, real-time control is implemented based on PWM converter. Finally, the correctness and validity of the proposed strategy are verified by virtue of case studies with simulated calculations.
Keywords:distribution system  distributed energy storage  distributed generation  hierarchical partitioning  optimized control  
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