电网技术2017，Vol.41Issue(11)：3506-3513,8.DOI:10.13335/j.1000-3673.pst.2017.0479
面向配电网优化运行的混合储能容量配置
Capacity Configuration of Hybrid Energy Storage System for Distribution Network Optimal Operation
摘要
Abstract
To improve accommodation capacity of distributed PV for distribution network and realize optimal operation of active distribution network, an improved Hilbert-Huang transform (HHT) is proposed to optimize capacity configuration of hybrid energy storage system (HESS). Firstly, unbalanced power between optimal power for integrated PV-storage system participating in distribution network optimization and actual PV output is obtained and chosen as reference power of hybrid energy storage system. The unbalanced power is decomposed into a series of intrinsic mode functions (IMF) with ensemble empirical mode decomposition (EEMD). IMF instantaneous frequency-time profiles is obtained with recursive Hilbert transform, thus effectively avoiding modal aliasing effect of traditional HHT and improve accuracy of instantaneous frequency. According to characteristics of power and energy storage, the so-called gap frequency is determined with principle of the least aliasing of instantaneous frequency-time profiles. Power and energy storages are used to restrain high and low frequency components of unbalanced power respectively. Finally, taken charge and discharge efficiency, state of charge and life cycle cost into account, optimal economic configuration scheme is put forward.关键词
主动配电网/混合储能系统/希尔伯特-黄变换/容量配置/全寿命周期成本Key words
active distribution network/hybrid energy storage system/Hilbert-Huang transform/capacity configuration/life cycle cost分类
信息技术与安全科学引用本文复制引用
葛乐,袁晓冬,王亮,陆文伟,胡波..面向配电网优化运行的混合储能容量配置[J].电网技术,2017,41(11):3506-3513,8.基金项目
国家自然科学基金项目(51707089) （51707089）
国家电网公司总部科技项目(5210EF17001C).本文的研究工作得到"国网江苏省电力公司科技项目(J2016018、J2017038)" "江苏省配电网智能技术与装备协同创新中心开放基金项目(XTCX201701)"的资助,谨此致谢!Project Supported by National Natural Science Foundation of China(51707089) （5210EF17001C）
Science and Technology Project of State Grid (5210EF17001C). （5210EF17001C）
