| 引用本文: | 任凯,蒋玮,杨波,桑丙玉,刘忠,李培培.用于平抑间歇性负荷的混合储能系统优化分频定容技术[J].电力自动化设备,2021,41(7): |
| REN Kai,JIANG Wei,YANG Bo,SANG Bingyu,LIU Zhong,LI Peipei.Optimal frequency division and capacity determination technology of hybrid energy storage system for suppressing intermittent load[J].Electric Power Automation Equipment,2021,41(7): |
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| 摘要: |
| 配电网中鱼塘、水泵等间歇性负荷导致的功率峰谷相差10倍左右，影响配电网的安全运行。含功率型储能器件与能量型储能器件的混合储能系统(HESS)可以用于平抑间歇性负荷功率波动。为此，重点研究了HESS设计过程中的分频定容技术：采用经验模态分解与希尔伯特频谱变换相结合的方法，对间歇性负荷特性进行频域分析；根据能量混叠最少原则，确定间歇性负荷中分别由超级电容器和蓄电池响应的部分；在储能元件充放电约束条件下确定HESS的额定功率与额定容量；建立包含容量成本和功率成本的HESS分频定容优化模型，并采用遗传算法进行优化，确定HESS的容量优化配置。基于实际算例进行仿真分析，结果验证了所提方法的有效性。 |
| 关键词: 间歇性负荷 混合储能系统 经验模态分解 希尔伯特频谱变换 容量配置 |
| DOI：10.16081/j.epae.202104022 |
| 分类号:TM761 |
| 基金项目:国家自然科学基金资助项目(51877041)；国网江苏省电力有限公司科技项目(分布式储能提升“鱼塘养殖”区含间歇性负荷配电网运行能力关键技术研究)(B442NY190005) |
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| Optimal frequency division and capacity determination technology of hybrid energy storage system for suppressing intermittent load |
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REN Kai1, JIANG Wei1, YANG Bo1,2, SANG Bingyu2, LIU Zhong3, LI Peipei3
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1.School of Electrical Engineering, Southeast University, Nanjing 210096, China;2.China Electric Power Research Institute(Nanjing),Nanjing 210003, China;3.Yangzhou Power Supply Company of State Grid Jiangsu Electric Power Co.,Ltd.,Yangzhou 225000, China
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| Abstract: |
| In the distribution network, intermittent loads such as fish pond and water pump can cause power peak-valley difference up to about 10 times, which affects the safe operation of distribution network. A HESS(Hybrid Energy Storage System) containing power-type and energy-type energy storage devices can be used to suppress power fluctuations of intermittent load. Therefore, the frequency division and capacity determination technology in the design process of HESS is mainly studied. The characteristics of intermittent load are analyzed in frequency domain by using the combination method of empirical mode decomposition and Hilbert spectrum transformation. According to the principle of least energy aliasing, the parts of intermittent load responded by the supercapacitor and the battery respectively are determined. The rated power and capacity of HESS are determined under the charging and discharging constraints of energy storage devices. The optimization model of HESS frequency division and capacity determination including capacity cost and power cost is established, and the genetic algorithm is used to optimize the model, obtaining the optimal capacity configuration of HESS. Based on a practical example, the simulative results verify the effectiveness of the proposed method. |
| Key words: intermittent load hybrid energy storage system empirical mode decomposition Hilbert spectrum transformation capacity configuration |
