• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2018, Vol. 39 ›› Issue (4): 83-.doi: 10.3969/j.issn.1000-7229.2018.04.013

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 Coordinated Optimization Control of Hybrid Energy Storage System Based on Ensemble Empirical Mode Decomposition

 LI Dayong1,DU Mingliang2, TIAN Chunguang2, HAN Xiaojuan3

 
  

  1.  (1.State Grid Jilin Electric Power Company, Changchun 130021, China;2. Electrical Power Research Institute of State Grid Jilin Electric Power Company, Changchun 130021, China;3. School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China)
     
  • Online:2018-04-01
  • Supported by:
     Project supported by National Natural Science Foundation of China(51577065);Science and Technology Project of State Grid Corporation of China(KY-SG-2016-204-JLDKY)
     

Abstract:  ABSTRACT:  Due to the strong randomness and volatility of the photovoltaic power generation, the energy storage system can be used to effectively stabilize the fluctuation of the photovoltaic output power. This paper proposes a coordinated optimization control method of hybrid energy storage system (HESS) bases on ensemble empirical mode decomposition (EEMD). The photovoltaic output power is decomposed into the high frequency component and low frequency component by adjusting the filter order k1 of the EEMD according to the fluctuation rate limit of the photovoltaic output power, and the low frequency component is regarded as the connected grid power to achieve a smoothing control of the photovoltaic output power. In order to improve the service life of hybrid energy storage system, according to the SOC (state of charge) of batteries and super capacitors, the filter order k2 of the EEMD is adjusted to realize the energy distribution between batteries and super capacitors. According to the priority rule of charge and discharge of batteries and super capacitors, the optimal control between super capacitors and batteries is realized. The effectiveness and correctness of the proposed method are verified by a simulation example.

 

Key words:  KEYWORDS: ensemble empirical mode decomposition (EEMD), hybrid energy storage system (HESS), filter order, volatility, state of charge (SOC), photovoltaic power generation

CLC Number: