庞水, 杨楚平, 刘如磊, 等. 船舶微电网锂电池储能系统容量配置多目标优化方法[J]. 中国舰船研究, 2020, 15(6): 22–28. doi: 10.19693/j.issn.1673-3185.01769
引用本文: 庞水, 杨楚平, 刘如磊, 等. 船舶微电网锂电池储能系统容量配置多目标优化方法[J]. 中国舰船研究, 2020, 15(6): 22–28. doi: 10.19693/j.issn.1673-3185.01769
shu
PANG S, YANG C P, LIU R L, et al. Multi-objective optimization method of energy storage system capacity allocation for marine microgrid lithium battery[J]. Chinese Journal of Ship Research, 2020, 15(6): 22–28. doi: 10.19693/j.issn.1673-3185.01769
Citation: PANG S, YANG C P, LIU R L, et al. Multi-objective optimization method of energy storage system capacity allocation for marine microgrid lithium battery[J]. Chinese Journal of Ship Research, 2020, 15(6): 22–28. doi: 10.19693/j.issn.1673-3185.01769
shu

船舶微电网锂电池储能系统容量配置多目标优化方法

Multi-objective optimization method of energy storage system capacity allocation for marine microgrid lithium battery

    摘要
  • 摘要:
      目的  针对船舶发电微电网的功率波动平抑问题，提出一种锂电池储能系统（ESS）容量配置的多目标优化方法。
      方法  首先，建立以储能系统成本、电网功率波动平抑、能量供求平衡为目标函数的优化设计模型；然后，针对模型优化，设计基于分解的多目标差分进化算法（MOEA/D-DE）的求解方法，并以某双燃料（柴油−天然气）电力推进船舶微电网为对象，使用Matlab编程求得最优解集，按照子目标函数的不同权重分配进行多属性决策；最后，得到不同权重分配方案的最优解。
      结果  仿真得到的5种方案的结果都满足功率波动平抑的目标，且成本和储能系统寿命损耗目标受权重分配的影响明显，实现了预期效果。
      结论  所提方法对船舶锂电池储能系统容量配置具有参考意义。

     

    Abstract:
      Objective   This study proposes a multi-objective optimization method for the capacity allocation of a lithium battery energy storage system (ESS) in a ship's microgrid to smooth the power fluctuation of the microgrid for ship power generation.
      Method  First, an optimization design model is established with the objective functions of ESS cost, smoothing power fluctuations, energy balance. A multi-objective differential evolutionary algorithm based on decomposition (MOEA/D-DE) is then designed for the optimization model. Taking a dual-fuel (diesel-natural gas) microgrid of electric propulsion ship as the object, the Matlab program is used to implement the algorithm and obtain the optimal solution set, and multi-attribute decisions are made according to the different weight distributions of the sub-objective function.
      Results  The results of the five schemes obtained by the simulation all meet the goal of smoothing power fluctuations. The cost and ESS life loss targets are significantly affected by weight allocation, and the expected results are obtained.
      Conclusion  This design method has reference significance for the capacity allocation of ESS of marine lithium battery.

     

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