电工技术学报2018，Vol.33Issue(6)：1257-1264,8.DOI:10.19595/j.cnki.1000-6753.tces.170958
基于状态观测器的风电机组单机储能系统虚拟惯量控制
Virtual Inertia Control of Energy Storage System in Wind Turbine Based on Extended State Observer
摘要
Abstract
With the penetration of wind power in grid becoming higher and higher, especially large-scale wind park or wind groups access to transmission grid, the wind power variation has brought a lot of impacts on power scheduling, frequency stability and many other aspects. Since the generator and system frequency are fully decoupled by the full-size converter, the variable speed wind turbines have no inertia contribution to the power grid. Aiming at the problem, an energy storage device control strategy for inertia compensation of wind turbine is presented in this paper, based on the extended state observer (ESO). The ESO is adopted to estimate the differential signal of system frequency, which can estimate the effects of unknown measurement noise and external interference. It can solve the problems that come from interference of frequency change rate measurement. At the same time, the virtual inertia of the wind storage integrated system can be adjusted through variable parameter controls. To verify the control strategy, the simulation was done based on a 1.5MW gearless permanent magnet synchronous generator (PMSG) wind turbine and a 350kW battery storage system. The results showed that the strategy could compensate the virtual inertia of wind turbine without affecting the maximum power point tracking, and the output power of wind-energy storage system can response to the system frequency variation rapidly. Compared with proportional-differential (PD) virtual inertia control, the power grid frequency fluctuation can be better suppressed, and the frequency stability of the power system and the grid-friendship of wind turbine are improved.关键词
风电机组/储能系统/虚拟惯量/扩张状态观测器Key words
Wind turbine/energy storage/virtual inertia/extended state observer (ESO)分类
信息技术与安全科学引用本文复制引用
王晓东,李凯凯,刘颖明,程红辉..基于状态观测器的风电机组单机储能系统虚拟惯量控制[J].电工技术学报,2018,33(6):1257-1264,8.基金项目
国家自然科学基金(51677121),辽宁省自然科学基金指导计划(201602549)和辽宁省教育厅项目(LGD2016031)资助. （51677121）
