电力系统保护与控制
電力繫統保護與控製
전력계통보호여공제
POWER SYSTM PROTECTION AND CONTROL
2015年
11期
33-40
,共8页
蒋文韬%付立军%王刚%侍乔明%陈宇航%徐力
蔣文韜%付立軍%王剛%侍喬明%陳宇航%徐力
장문도%부립군%왕강%시교명%진우항%서력
直驱永磁同步发电机%虚拟惯量%小干扰稳定%风电并网系统%低频振荡
直驅永磁同步髮電機%虛擬慣量%小榦擾穩定%風電併網繫統%低頻振盪
직구영자동보발전궤%허의관량%소간우은정%풍전병망계통%저빈진탕
direct-drive permanent magnet synchronous generator%virtual inertia%small signal stability%wind power integrated system%low-frequency oscillation
虚拟惯量控制方式下,直驱永磁风力发电机组(DDPMSG)能够为电力系统提供较好的频率支撑,但虚拟惯量控制使DDPMSG与系统之间产生了新的耦合关系,给系统的小干扰稳定带来新的影响。建立了包含DDPMSG的风电并网系统状态空间平均模型,并通过线性化得到其小信号模型。基于该小信号模型,利用特征分析法分析了虚拟惯量控制的比例系数和微分系数对风电并网系统的小干扰稳定性的影响,同时对比分析了虚拟惯量控制及最大功率跟踪控制对系统小干扰稳定的影响。结果表明虚拟惯量控制对系统阻尼特性的影响与 DDPMSG 接入系统的位置及容量有关,且主要影响其所接入区域的局部振荡模式和系统的区域振荡模式。
虛擬慣量控製方式下,直驅永磁風力髮電機組(DDPMSG)能夠為電力繫統提供較好的頻率支撐,但虛擬慣量控製使DDPMSG與繫統之間產生瞭新的耦閤關繫,給繫統的小榦擾穩定帶來新的影響。建立瞭包含DDPMSG的風電併網繫統狀態空間平均模型,併通過線性化得到其小信號模型。基于該小信號模型,利用特徵分析法分析瞭虛擬慣量控製的比例繫數和微分繫數對風電併網繫統的小榦擾穩定性的影響,同時對比分析瞭虛擬慣量控製及最大功率跟蹤控製對繫統小榦擾穩定的影響。結果錶明虛擬慣量控製對繫統阻尼特性的影響與 DDPMSG 接入繫統的位置及容量有關,且主要影響其所接入區域的跼部振盪模式和繫統的區域振盪模式。
허의관량공제방식하,직구영자풍력발전궤조(DDPMSG)능구위전력계통제공교호적빈솔지탱,단허의관량공제사DDPMSG여계통지간산생료신적우합관계,급계통적소간우은정대래신적영향。건립료포함DDPMSG적풍전병망계통상태공간평균모형,병통과선성화득도기소신호모형。기우해소신호모형,이용특정분석법분석료허의관량공제적비례계수화미분계수대풍전병망계통적소간우은정성적영향,동시대비분석료허의관량공제급최대공솔근종공제대계통소간우은정적영향。결과표명허의관량공제대계통조니특성적영향여 DDPMSG 접입계통적위치급용량유관,차주요영향기소접입구역적국부진탕모식화계통적구역진탕모식。
Wind turbine with direct-drive permanent magnet synchronous generator (DDPMSG) can provide frequency support for power system under the control of virtual inertia, but it creates new coupling relationship between the DDPMSG and the system, which affects the small signal stability of the power system. This paper sets forth a state space averaging model of wind power integrated system containing the DDPMSG by reasonable simplification, and obtains its small signal model through linearization. Based on the small signal model, it analyzes the impact of proportion coefficient and differential coefficient of the virtual inertia control on small signal stability of the wind farm integrated system, and comparatively analyzes the impact of the virtual inertia control and maximum power point tracking control on small signal stability of the power system, by the eigenvalue analysis method. Results show that capacity and location of the wind power, controlled by virtual inertia, make a difference in damping performance of power system, and mainly in the integrated area’s local oscillation mode and inter-area oscillation mode.