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基于GBDT的串联结构微电网与电网交互稳定性评估
引用本文:张津京,王兴贵?覮,宋汶秦,杨维满. 基于GBDT的串联结构微电网与电网交互稳定性评估[J]. 湖南大学学报(自然科学版), 2021, 48(2): 87-95. DOI: 10.16339/j.cnki.hdxbzkb.2021.02.011
作者姓名:张津京  王兴贵?覮  宋汶秦  杨维满
作者单位:兰州理工大学电气工程与信息工程学院,甘肃兰州 730050;兰州理工大学电气工程与信息工程学院,甘肃兰州 730050;国网甘肃省电力公司 经济技术研究院,甘肃 兰州,730050;兰州理工大学电气工程与信息工程学院,甘肃兰州 730050
基金项目:国家电网公司科学技术项目;National Natural Science Foundation of China;Science and Technology Project of State Grid Corporation of China ;Innovation Ability Improvement Project of Colleges and Universities in Gansu Province;国家自然科学基金资助项目;甘肃省高等学校创新能力提升项目
摘    要:针对微源逆变器串联微电网中,微源投切对微电网与电网交互稳定性影响机理复杂,传统方法建模困难且无法及时决策的问题,提出一种基于梯度提升决策树(gradient boost-ing decision tree,GBDT)模型的交互稳定性评估方法.首先提出微源投切特征函数的构造方法,所提方法能够有效提取采用载波移相SPWM调制的串联结构系统中特有的投切微源位置特征,同时具有降低特征维数、提高模型效率、通过简单拟合使模型具备迁移能力的优势;其次将交互稳定性评估视为多分类任务,且对其中较不稳定样本进行谐振频段预测,从而可针对不同投切工况采取不同应对策略.在验证集和新建测试集上的测试结果表明特征提取方法正确、有效,可为类似串联结构系统在电能质量分析、优化运行等方面提供方法参考;所建模型泛化能力强且具有实用性,可为并网运行系统稳定性在线分析及决策提供新思路.

关 键 词:微源投切  微源逆变器串联  交互稳定性  特征提取  机器学习

Assessment of Interactive Stability between Grid and Series Structure Micro-grid Based on GBDT
ZHANG Jinjing,WANG Xinggui,SONG Wenqin,YANG Weiman. Assessment of Interactive Stability between Grid and Series Structure Micro-grid Based on GBDT[J]. Journal of Hunan University(Naturnal Science), 2021, 48(2): 87-95. DOI: 10.16339/j.cnki.hdxbzkb.2021.02.011
Authors:ZHANG Jinjing  WANG Xinggui  SONG Wenqin  YANG Weiman
Abstract:Due to the complex mechanism of the effect of micro-source switching on interactive stability between the grid and the micro-grid with series micro-source inverters, traditional methods were difficult to model and can''t make decision in time. In this study, therefore, an assessment method of interactive stability based on gradient boosting decision tree (GBDT) was proposed. Firstly, the feature functions of the micro-source switching were constructed to extract the position feature which existed typically in series structure system modulated by carrier phase shifted SPWM. The proposed functions can reduce the feature dimension, thus improving the efficiency of assessment model and making the model migration capable by feature fitting. Secondly, the assessment of interactive stability was treated as a multi-classification task and the resonant frequency bands of instable samples were predicted. Thus, the different strategy can be taken according to the classification and prediction. Finally, the tests on validation data sets and new test sets verified the correctness and effectiveness of the feature construction functions which can provide references for the similar series structure system in power quality analysis, optimal operation and other aspects. The results also verified the high generalization performance and practicality of the proposed assessment model, which can provide a new tool for on-line stability analysis and decision-making of grid-connected operation systems.
Keywords:
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