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计及蓄电池储能寿命影响的微电网日前调度优化 被引量:76

Day-Ahead Scheduling Optimization for Microgrid with Battery Life Model
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摘要 蓄电池储能是进行微电网日前调度需要综合考虑的重要单元。为了充分发挥蓄电池储能平抑可再生能源波动、调节系统峰谷差及减小系统备用的功能,需要综合考虑其剩余容量、充放电功率及充放电次数对蓄电池寿命的影响。文中通过推导得出了反应蓄电池每一次放电损耗的数学模型,并对其进行了适当简化,通过权重因子将其引入到日前调度优化的目标函数中;针对蓄电池储能约束条件时间上耦合的特点,文中将基于拉格朗日松弛和内点法的动态规划方法应用于模型求解;通过算例分析,表明了所述方法对微电网日前调度具有良好的优化效果。 Battery energy storage is an important element to be considered when the day-ahead dispatch of microgrid is carried out. In order to maximize the abilities of battery energy storage for stabilizing the fluctuations of renewable energy, regulating the difference between peak and valley and reducing the back capacity, the impacts on the battery life need to be considered, such as remaining capacity, charge power discharge power and the number of use times. In this paper, the mathematical model of each battery discharge loss is established. Before the model is introduced into the scheduling optimization objective function appropriate simplification is carried out by the weighting factor. For the characteristics of battery energy storage constraints relaxation and interior point method are introduced numerical example shows that the proposed method has coupled in continuous time, the Lagrangian to solve dynamic programming model. The good optimization results.
出处 《电工技术学报》 EI CSCD 北大核心 2015年第22期172-180,共9页 Transactions of China Electrotechnical Society
基金 国家自然科学基金面上项目(51277170) 国家自然科学青年基金(50907065) 中国科学院知识创新工程重要方向项目(KGCX2-EW-322)资助
关键词 蓄电池寿命 微电网 优化 日前调度 Battery life, optimization, microgrid, day-ahead scheduling
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参考文献22

  • 1Lasseter R H. Integration of distributed energy resources: The CERTS microgrid concept[R]. Consortium for Electric Reliability Technology Solutions, 2002.
  • 2Lee T Y. Operating schedule of battery energy storage system in a time-of-use rate industrial user with wind turbine generators: a multipass iteration particle swarm optimization approach[J]. IEEE Transactions on Energy Conversion, 2007, 22(3): 774-782.
  • 3Liu Xiaoping, Ding Ming, Han Jianghong, et al.Dynamic economic dispatch for microgrids including battery energy storage[C]. IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 2010: 914-917.
  • 4Drouilhet S, Johnson B L. A battery life prediction method for hybrid power applications[C]. AIAA Aerospace Sciences Meeting and Exhibit, 1997.
  • 5Schiffer J, Sauer D U, Bindner H, et al. Model prediction for ranking lead-acid batteries according to expected lifetime in renewable energy systems and autonomous power-supply systems[J]. Journal of Power Sources, 2007, 168(1): 66-78.
  • 6陈健,王成山,赵波,张雪松.考虑储能系统特性的独立微电网系统经济运行优化[J].电力系统自动化,2012,36(20):25-31. 被引量:78
  • 7Zhao B, Zhang X, Chen J, et al. Operation optimi- zation of standalone microgrids considering lifetime characteristics of battery energy storage system[J]. IEEE Transactions on Sustainable Energy, 2013, 4(4) 934-943.
  • 8丁明,张颖媛,茆美琴,刘小平,徐宁舟.包含钠硫电池储能的微网系统经济运行优化[J].中国电机工程学报,2011,31(4):7-14. 被引量:253
  • 9Gu W, Wu Z, Yuan X. Microgrid economic optimal operation of the combined heat and power system with renewable energy[C]. IEEE Power and Energy Society General Meeting, 2010: 1-6.
  • 10陈昌松,段善旭,蔡涛,刘邦银.基于改进遗传算法的微网能量管理模型[J].电工技术学报,2013,28(4):196-201. 被引量:53

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