Applications of Complex Network Analysis in Electric Power Systems

This paper provides a review of the research conducted on complex network analysis (CNA) in electric power systems. Moreover, a new approach is presented to find optimal locations for microgrids (MGs) in electric distribution systems (EDS) utilizing complex network analysis. The optimal placement in this paper points to the location that will result in enhanced grid resilience, reduced power losses and line loading, better voltage stability, and a supply to critical loads during a blackout. The criteria used to point out the optimal placement of the MGs were predicated on the centrality analysis selected from the complex network theory, the center of mass (COM) concept from physics, and the recently developed controlled delivery grid (CDG) model. An IEEE 30 bus network was utilized as a case study. Results using MATLAB (MathWorks, Inc., Nattick, MA, USA) and PowerWorld (PowerWorld Corporation, Champaign, IL, USA) demonstrate the usefulness of the proposed approach for MGs placement.

本文对电力系统领域复杂网络分析（Complex Network Analysis, CNA）的相关研究进行了综述。此外，本文提出一种新方法，借助复杂网络分析技术确定配电系统（Electric Distribution Systems, EDS）中微电网（Microgrids, MGs）的最优选址位置。本文所定义的最优选址，指可提升电网韧性、降低功率损耗与线路负载、改善电压稳定性，并在停电期间保障关键负荷供电的位置。本文用于确定微电网最优选址的评判准则，基于复杂网络理论中的中心性分析、物理学中的质心（Center of Mass, COM）概念，以及新近提出的受控输送网格（Controlled Delivery Grid, CDG）模型。研究采用IEEE 30节点系统作为算例，借助MATLAB（美国马萨诸塞州纳蒂克市MathWorks公司）与PowerWorld（美国伊利诺伊州尚佩恩市PowerWorld公司）得到的仿真结果，验证了所提微电网选址方法的有效性。