Hierarchical and distributed control concept for distribution network congestion management
Hierarchical and distributed control concept for distribution network congestion management
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DOI：
10.1049/iet-gtd.2016.0500
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发表时间：
2017-02
影响因子：
2.5
通讯作者：
A. Kulmala;M. Alonso;S. Repo;H. Amaris;Angeles Moreno;J. Mehmedalic;Z. Al-Jassim
中科院分区：
文献类型：
--
作者：
A. Kulmala;M. Alonso;S. Repo;H. Amaris;Angeles Moreno;J. Mehmedalic;Z. Al-Jassim
拥塞管理是智能配电系统的核心推动因素之一，在智能配电系统中，分布式能源资源被用于网络控制，以实现分布式发电（DG）的成本效益网络互连和更好地利用网络资产。阻塞管理的主要目的是防止电压违规和网络过载。拥塞管理算法也可用于优化网络状态。本研究提出了一个分层和分布式拥塞管理的概念，为未来的配电网具有大规模的DG和其他可控资源的MV和LV网络。控制概念的目的是在保持可接受的网络状态的同时以最小的成本操作网络。该层次结构由三个级别组成：一级控制器根据本地测量结果运行，二级控制实时优化一级控制器的设定点，三级控制利用负荷和生产预测作为输入，并实现网络重新配置算法和连接到市场。一级控制器位于可控资源的连接点，二级控制器位于一级和二级变电站，三级控制位于控制中心。因此，控制是空间分布的，并且在不同的时间帧中操作。
Congestion management is one of the core enablers of smart distribution systems where distributed energy resources are utilised in network control to enable cost-effective network interconnection of distributed generation (DG) and better utilisation of network assets. The primary aim of congestion management is to prevent voltage violations and network overloading. Congestion management algorithms can also be used to optimise the network state. This study proposes a hierarchical and distributed congestion management concept for future distribution networks having large-scale DG and other controllable resources in MV and LV networks. The control concept aims at operating the network at minimum costs while retaining an acceptable network state. The hierarchy consists of three levels: primary controllers operate based on local measurements, secondary control optimises the set points of the primary controllers in real-time and tertiary control utilises load and production forecasts as its inputs and realises network reconfiguration algorithm and connection to the market. Primary controllers are located at the connection point of the controllable resource, secondary controllers at primary and secondary substations and tertiary control at the control centre. Hence, the control is spatially distributed and operates in different time frames.