A Transactive Energy Framework for Coordinated Energy Management of Networked Microgrids With Distributionally Robust Optimization

A Transactive Energy Framework for Coordinated Energy Management of Networked Microgrids With Distributionally Robust Optimization
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DOI:
10.1109/tpwrs.2019.2933180
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发表时间:
2020-01
影响因子:
6.6
通讯作者:
Zhaoxi Liu;Lingfeng Wang;Li Ma
Zhaoxi Liu;Lingfeng Wang;Li Ma
中科院分区:
工程技术1区
文献类型:
--
作者:
Zhaoxi Liu;Lingfeng Wang;Li Ma

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网络化微电网被认为是未来配电系统的一种新兴的电网设计。为了进一步提高系统的运行效率和可靠性,联网MG的协调是至关重要的。本文提出了一种用于分布式系统中网络化MG能量协调管理的交互能量框架。代替直接协调信号和固定定价方案,配电网络运营商(DNO)与MG组织交易市场以协调操作中的能量管理。此外,分布式鲁棒优化(DRO)为基础的算法开发,以提供一个强大的解决方案,详细的调度决策,在建议的TE框架下的不确定性,而不是过于保守。与所提出的框架进行了案例研究与IEEE 33节点系统与三个MG和IEEE 123节点系统与九个MG。实例分析结果表明,该框架能够有效地协调各发电机组的能量调度。DS的运行成本显著降低。同时,所提出的基于DRO的算法提供了一个强大的,但不是过度保守的解决方案,在所提出的框架中的DNO和MG的操作决策。
Networked microgrids (MGs) are considered as an emerging grid design for the future distribution system (DS). The coordination of the networked MGs is critical in order to further enhance the operation efficiency and reliability of the system. In this paper, a transactive energy (TE) framework is proposed for the coordinated energy management of networked MGs in DS. Instead of direct coordination signals and fixed pricing schemes, the distribution network operator (DNO) organizes a transactive market with the MGs to coordinate the energy management in the operation. Further, a distributionally robust optimization (DRO)-based algorithm is developed to provide a robust solution of the detailed scheduling decisions in the proposed TE framework under uncertainty without being too conservative. Case studies with the proposed framework were conducted with the IEEE 33-bus system with three MGs and the IEEE 123-bus system with nine MGs. The results of the case studies show that the proposed TE-based framework can effectively coordinate the energy scheduling of the MGs. The operational cost of the DS is reduced significantly. Meanwhile, the proposed DRO-based algorithm provides a robust but not over-conservative solution for the operation decisions of the DNO and MGs in the proposed framework.