基于复杂网络理论的多直流馈入受端网架优化方法
作者:
作者单位:

1.直流输电技术国家重点实验室 (南方电网科学研究院);2.华南理工大学 电力学院

基金项目:

直流输电技术国家重点实验室开放基金(SKLHVDC-2022-KF-01)


Optimization Approach for Multiple DC Infeed Receiving-End Power Grid based on Complex Network Theory
Author:
Affiliation:

1.State Key Laboratory of HVDC (Electric Power Research Institute, CSG);2.School of Electric Power Engineering, South China University of Technology

Fund Project:

State Key Laboratory of HVDC (SKLHVDC-2022-KF-01)

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    摘要:

    负荷密度的增加和外电馈入比例的提高使得受端输电网络的短路电流水平不断攀升,影响了受端电网的安全运行,为此,本文提出了一种基于复杂网络理论的多直流馈入受端网架优化方法。研究并提出改进的复杂网络理论社团发现算法,搜索受端电网关键联络线,形成预开断线路集。以短路电流改善程度、多馈入短路比指标及网络有功损耗作为目标函数,建立受端电网网架多目标优化模型。为提高模型的准确性,在电网运行方式中,考虑新能源出力不确定性的影响,利用非参数核密度估计和 Frank-Copula 函数生成风光出力场景并聚类得到典型场景集。利用 NSGA-II 算法求解模型,得到 Pareto 最优解集,选取满足 N-1 校核的最优决策方案。最后,通过算例验证所提方法的有效性。

    Abstract:

    The increasing load density and the higher proportion of external power feed-in continuously raise the level of short-circuit currents in the receiving-end transmission network, affecting the safe operation of the receiving-end grid. To address this issue, this paper proposes an optimization method for the receiving-end grid with multi-DC feed-in based on complex network theory. We investigate and propose an improved community detection algorithm based on complex network theory to search for critical interconnection lines in the receiving-end grid, forming a pre-disconnection line set. Targeting the improvement of short-circuit current level, the ratio of multiple feed-in short-circuit, and the active loss of the grid, we establish a multi-objective optimization model for the receiving-end grid framework. To enhance the accuracy of the model, we consider the impact of uncertainty in renewable energy output in the grid operation mode, utilizing non-parametric kernel density estimation and Frank-Copula function to generate scenarios of wind and solar output and cluster to obtain a set of typical scenarios. The NSGA-II algorithm is employed to solve the model, obtaining a Pareto optimal solution set, from which the optimal decision solution satisfying N-1 verification is selected. Finally, the effectiveness of the proposed method is validated through case studies.

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田宝烨,郭知非,周保荣,樊丽娟,邓卓明,尤作为,李凤娇,林凌雪.基于复杂网络理论的多直流馈入受端网架优化方法[J].南京信息工程大学学报,,():

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  • 收稿日期:2024-06-03
  • 最后修改日期:2024-09-12
  • 录用日期:2024-09-12

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