电网技术
電網技術
전망기술
POWER SYSTEM TECHNOLOGY
2014年
2期
381-387
,共7页
郝丽丽%岳浩永%张恒旭%潘学萍%李晓晗
郝麗麗%嶽浩永%張恆旭%潘學萍%李曉晗
학려려%악호영%장항욱%반학평%리효함
广域系统负荷识别%分类策略%机理差异度%负荷构成特性%负荷群属特征%适应性
廣域繫統負荷識彆%分類策略%機理差異度%負荷構成特性%負荷群屬特徵%適應性
엄역계통부하식별%분류책략%궤리차이도%부하구성특성%부하군속특정%괄응성
wide area system load identification%classification strategy%mechanism difference%load composition characteristic%load clustering characteristic%adaptability
针对广域系统负荷识别中的负荷分类问题进行研究,首先以简单两机系统为例从理论上研究负荷分群的基本原则,并研究了负荷群属特征和负荷构成特性对广域系统负荷识别结果的影响。基于物理机理差异度及其灵敏度分析进行参数识别,并用多次参数识别结果定义离散度指标,用其衡量识别结果对扰动场景的适应能力。研究了在多种扰动强度、扰动场景、负荷分类策略和系统拓扑结构下的广域系统负荷参数识别。结果表明,在负荷节点分类时应考虑各节点负荷构成特征的接近性和负荷群属特征的一致性,才能使该类负荷在某次扰动场景下的识别结果较好地适用于其他场景。
針對廣域繫統負荷識彆中的負荷分類問題進行研究,首先以簡單兩機繫統為例從理論上研究負荷分群的基本原則,併研究瞭負荷群屬特徵和負荷構成特性對廣域繫統負荷識彆結果的影響。基于物理機理差異度及其靈敏度分析進行參數識彆,併用多次參數識彆結果定義離散度指標,用其衡量識彆結果對擾動場景的適應能力。研究瞭在多種擾動彊度、擾動場景、負荷分類策略和繫統拓撲結構下的廣域繫統負荷參數識彆。結果錶明,在負荷節點分類時應攷慮各節點負荷構成特徵的接近性和負荷群屬特徵的一緻性,纔能使該類負荷在某次擾動場景下的識彆結果較好地適用于其他場景。
침대엄역계통부하식별중적부하분류문제진행연구,수선이간단량궤계통위례종이론상연구부하분군적기본원칙,병연구료부하군속특정화부하구성특성대엄역계통부하식별결과적영향。기우물리궤리차이도급기령민도분석진행삼수식별,병용다차삼수식별결과정의리산도지표,용기형량식별결과대우동장경적괄응능력。연구료재다충우동강도、우동장경、부하분류책략화계통탁복결구하적엄역계통부하삼수식별。결과표명,재부하절점분류시응고필각절점부하구성특정적접근성화부하군속특정적일치성,재능사해류부하재모차우동장경하적식별결과교호지괄용우기타장경。
In view of the load classification problem of load identification in wide area system, the load clustering principle is studied theoretically with a simple case of two machine system, the influence of load composition characteristic and load clustering characteristic on load identification in wide area system is researched. The parameters are identified through the defined physical mechanism difference and its sensitivity analysis, then the dispersion index of multiple identification results is defined, which can measure the adaptive capacity of identification results on disturbance scene. The wide area system load parameter identification under different disturbance intensity, disturbing scenes, load classification strategies and system topology structures is studied. The results show that, in the load-node classification, not only the load composition characteristic consistency of each node should be considered, but these load nodes also belong to the same critical cluster (or belong to the remaining cluster), so that the identification results of this kind of load in a disturbing scene can be better adaptable to other scenes.