基于模型预测控制的混合动力船舶能量控制策略
|
摘要
为提高混合动力船舶的燃油经济性,选取马尔科夫模型对混合动力船舶需求功率进行预测。运用动态规划的方法以总油耗量最小为目标进行柴油发电机组和动力电池组功率分配优化,并将油耗量与基于模糊逻辑控制策略的油耗量作对比。仿真表明,采用所提出的控制策略时混合动力船舶的燃油经济性得到明显提高,说明基于马尔科夫模型的预测控制在混合动力船舶能量分配上是可行的,且具有良好的实用性。
In order to improve the fuel economy of hybrid power ships,the Markov model is selected to predict the demand power of hybrid power ships. The dynamic programming method is used to optimize the power distribution of diesel generator set and power battery pack with the objective of the minimum total fuel consumption,and the fuel consumption is compared with the fuel consumption based on fuzzy logic control strategy. The simulation results show that the fuel economy of hybrid power ships is improved obviously with the proposed control strategy,which indicates that the predictive control based on Markov model is feasible and is of good practicability in the energy distribution of hybrid power ships.
In order to improve the fuel economy of hybrid power ships,the Markov model is selected to predict the demand power of hybrid power ships. The dynamic programming method is used to optimize the power distribution of diesel generator set and power battery pack with the objective of the minimum total fuel consumption,and the fuel consumption is compared with the fuel consumption based on fuzzy logic control strategy. The simulation results show that the fuel economy of hybrid power ships is improved obviously with the proposed control strategy,which indicates that the predictive control based on Markov model is feasible and is of good practicability in the energy distribution of hybrid power ships.
引文
[1]FERRY M,WB W N,MFAHMAD,et al.Comparative study of hybrid catamaran versus diesel monohull boat as ferry for short distance routes[J].Indonesian Journal of Naval Architecture,2013,1(1):30-36.
[2]WIEDEBACK N J,JOHNSON B K,HESS H L,et al.A PSCAD/EMTDC model of a marine vehicle propulsion system[C]//IEEE Transmission and Distribution Conference and Exposition(T&D),IEEE,2012:1-8.
[3]俞万能,李丹,郑为民.太阳能游览船能量控制系统研发[J].中国造船,2013,54(3):177-183.
[4]BERNARD J,DELPRAT S,GUERRA T M,et al.Fuel efficient power management strategy for fuel cell hybrid powertrains[J].Control Engineering Practice,2010,18(4):408-417.
[5]KANELLOS F D,TSEKOURAS G J,HATZIARGYRIOU N D.Optimal demand-side management and power generation scheduling in an all-electric ship[J].IEEE Transactions on Sustainable Energy,2014,5(4):1166-1175.DOI:10.1109/TSTE.2014.2336973.
[6]TANI A,CAMARA M B,DAKYO B.Energy management in the decentralized generation systems based on renewable energy-ultracapacitors and battery to compensate the wind/load power fluctuations[J].IEEE Transactions on Industry Applications,2015,51(2):1817-1827.DOI:10.1109/TIA.2014.2354737.
[7]赵秀春,郭戈.混合动力电动汽车能量管理策略研究综述[J].自动化学报,2016,42(3):321-334.DOI:10.16383/j.aas.2016.c150477.
[8]李书臣,徐心和,李平.预测控制最新算法综述[J].系统仿真学报,2004,16(6):1314-1319.
[9]孟凡博,黄开胜,曾祥瑞,等.基于马尔科夫链的混合动力汽车模型预测控制[J].中国机械工程,2014,25(19):2692-2697.DOI:10.3969/j.issn.1004—132X.2014.19.025.
[10]赵韩,吴迪.ISG混合动力汽车模型预测控制策略研究[J].合肥工业大学学报(自然科学版),2014,37(1):1-5.DOI:10.3969/j.issn.1003-5060.2014.01.001.
[11]赵韩,吴迪.基于随机模型预测控制的并联式混合动力汽车控制策略研究[J].汽车工程,2014,36(11):1289-1294.
[12]魏伟,褚建新,王帆.串联式混合动力船舶能源系统运行模式切换策略[J].船舶工程,2016,38(4):26-30.DOI:10.13788/j.cnki.cbgc.2016.04.026.
[13]高迪驹,沈爱弟,褚建新,等.混合动力船舶的能量管理与控制策略[J].上海海事大学学报,2015,36(1):70-74.DOI:10.13340/j.jsmu.2015.01.013
[14]樊娟娟.基于预测控制的并联式混合动力汽车能量管理策略研究[D].济南:山东大学,2012.
[15]张洁丽.基于模型预测控制的插电式混合动力客车能量管理策略研究[D].北京:北京理工大学,2016.
[16]曾祥瑞,黄开胜,孟凡博.具有实时运算潜力的并联混合动力汽车模型预测控制[J].汽车安全与节能学报,2012,3(2):165-172.DOI:10.3969/j.issn.1676-8484.2012.02.010.
[17]孙彦琰,高迪驹,褚建新.混合动力电动船舶模糊逻辑控制策略[J].船舶工程,2014,36(3):67-70.DOI:10.13788/j.cnki.cbgc.2014.0079.
[2]WIEDEBACK N J,JOHNSON B K,HESS H L,et al.A PSCAD/EMTDC model of a marine vehicle propulsion system[C]//IEEE Transmission and Distribution Conference and Exposition(T&D),IEEE,2012:1-8.
[3]俞万能,李丹,郑为民.太阳能游览船能量控制系统研发[J].中国造船,2013,54(3):177-183.
[4]BERNARD J,DELPRAT S,GUERRA T M,et al.Fuel efficient power management strategy for fuel cell hybrid powertrains[J].Control Engineering Practice,2010,18(4):408-417.
[5]KANELLOS F D,TSEKOURAS G J,HATZIARGYRIOU N D.Optimal demand-side management and power generation scheduling in an all-electric ship[J].IEEE Transactions on Sustainable Energy,2014,5(4):1166-1175.DOI:10.1109/TSTE.2014.2336973.
[6]TANI A,CAMARA M B,DAKYO B.Energy management in the decentralized generation systems based on renewable energy-ultracapacitors and battery to compensate the wind/load power fluctuations[J].IEEE Transactions on Industry Applications,2015,51(2):1817-1827.DOI:10.1109/TIA.2014.2354737.
[7]赵秀春,郭戈.混合动力电动汽车能量管理策略研究综述[J].自动化学报,2016,42(3):321-334.DOI:10.16383/j.aas.2016.c150477.
[8]李书臣,徐心和,李平.预测控制最新算法综述[J].系统仿真学报,2004,16(6):1314-1319.
[9]孟凡博,黄开胜,曾祥瑞,等.基于马尔科夫链的混合动力汽车模型预测控制[J].中国机械工程,2014,25(19):2692-2697.DOI:10.3969/j.issn.1004—132X.2014.19.025.
[10]赵韩,吴迪.ISG混合动力汽车模型预测控制策略研究[J].合肥工业大学学报(自然科学版),2014,37(1):1-5.DOI:10.3969/j.issn.1003-5060.2014.01.001.
[11]赵韩,吴迪.基于随机模型预测控制的并联式混合动力汽车控制策略研究[J].汽车工程,2014,36(11):1289-1294.
[12]魏伟,褚建新,王帆.串联式混合动力船舶能源系统运行模式切换策略[J].船舶工程,2016,38(4):26-30.DOI:10.13788/j.cnki.cbgc.2016.04.026.
[13]高迪驹,沈爱弟,褚建新,等.混合动力船舶的能量管理与控制策略[J].上海海事大学学报,2015,36(1):70-74.DOI:10.13340/j.jsmu.2015.01.013
[14]樊娟娟.基于预测控制的并联式混合动力汽车能量管理策略研究[D].济南:山东大学,2012.
[15]张洁丽.基于模型预测控制的插电式混合动力客车能量管理策略研究[D].北京:北京理工大学,2016.
[16]曾祥瑞,黄开胜,孟凡博.具有实时运算潜力的并联混合动力汽车模型预测控制[J].汽车安全与节能学报,2012,3(2):165-172.DOI:10.3969/j.issn.1676-8484.2012.02.010.
[17]孙彦琰,高迪驹,褚建新.混合动力电动船舶模糊逻辑控制策略[J].船舶工程,2014,36(3):67-70.DOI:10.13788/j.cnki.cbgc.2014.0079.