摘要
风电功率的随机波动会对电网的正常运行产生很大的影响,储能系统的接入能有效抑制风电功率波动。针对上述问题,提出一种应用自适应的集合经验模态分解(ensemble empirical mode decomposition,EEMD)进行频率分配并运用能量管理控制策略进行储能系统功率优化的混合储能系统平滑控制策略。该控制策略能实现风电功率的自适应分解,得到风电并网功率和混合储能系统内部功率的初级分配。同时运用能量管理控制策略,实现储能系统内部功率优化。算例结果表明,所提算法能自适应地实现风电功率的最优分解,所提控制策略能完成储能系统内部功率的合理优化并有效地平滑风电出力波动。
Random fluctuation of wind power will cause a great negative impact on the normal operation of power grid,which can be effectively suppressed by an energy storing system.In view of above issue,a smoothing control strategy for hybrid energy system(HESS)using self-adaptive ensemble empirical mode decomposition transform to allot frequency and energy storage state to adjust the power values of the energy storage system is proposed.The control strategy can achieve self-adaption of wind power and obtain primary distribution of wind power grid-connection power and internal power of HESS.At the same time,the control strategy of energy management is used to make the HESS primary power instructions secondary modification inside HESS.It is shown by the simulation result that the proposed decomposition can achieve optimal decomposition,the proposed energy management is able to achieve secondary modification the power of HESS,mitigate wind power fluctuation.
作者
孟晓洁
王海云
王维庆
MENG Xiaojie;WANG Haiyun;WANG Weiqing(Renewable Energy Power Generation and Grid Technology Ministry of Education Engineering Research Center of Xinjiang University,Urumqi 830047,China)
出处
《电力电容器与无功补偿》
北大核心
2020年第3期189-196,204,共9页
Power Capacitor & Reactive Power Compensation
基金
国家自然科学基金资助项目(51667020,51666017)
教育部创新团队(IRT-16R63)
新疆自治区教育厅项目(XJEDU20171002).
关键词
风力发电
混合储能系统
EEMD分解
能量管理
功率优化
wind power generation
hybrid energy storage system
EEMD decomposition
energy management
power optimization
