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Mathematical modeling of electrochemical storage for incorporation in methods to optimize the operational planning of an interconnected micro grid 被引量:3

Mathematical modeling of electrochemical storage for incorporation in methods to optimize the operational planning of an interconnected micro grid
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摘要 We extract a mathematical model to simulate the steady-state charging and discharging behaviors of an electrochemical storage over a 24-hour time interval.Moreover,we develop a model for optimizing the daily operational planning of an interconnected micro grid considering electrochemical storage.The optimization model is formulated to maximize the total benefit of the micro grid via selling power to its end consumers and also exchanging power with the wholesale energy market so that the constraints of distributed energy resources(DERs) and low-voltage grid are met.The optimization problem is solved by a genetic algorithm,and applied on two micro grids operating under different scenarios containing the absence or presence of electrochemical storages.Comparison of the results of the optimization model for this micro grid,with and without electrochemical storage,shows that the electrochemical storage can improve the economical efficiency of the interconnected micro grids by up to 10.16%. We extract a mathematical model to simulate the steady-state charging and discharging behaviors of an electrochemical storage over a 24-hour time interval. Moreover, we develop a model for optimizing the daily operational planning of an interconnected micro grid considering electrochemical storage. The optimization model is formulated to maximize the total benefit of the micro grid via selling power to its end consumers and also exchanging power with the wholesale energy market so that the constraints of distributed energy resources (DERs) and low-voltage grid are met. The optimization problem is solved by a genetic algorithm, and applied on two micro grids operating under different scenarios containing the absence or presence of electrochemical storages. Comparison of the results of the optimization model for this micro grid, with and without electrochemical storage, shows that the electrochemical storage can improve the economical efficiency of the interconnected micro grids by up to 10.16%.
出处 《Journal of Zhejiang University-Science C(Computers and Electronics)》 SCIE EI 2010年第9期737-750,共14页 浙江大学学报C辑(计算机与电子(英文版)
关键词 Electrochemical storage Micro grid Operational planning Distributed energy resources Electrochemical storage, Micro grid, Operational planning, Distributed energy resources
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  • 1Abu-Sharkh,S.,Arnold,R.J.,Kohler,J.,Li,R.,Markvart,T.,Ross,J.N.,Steemers,K.,Wilson,P.,Yao,R.,2006.Can microgrids make a major contribution to UK energy supply? Renew.Sustain.Energy Rev.,10(2):78-127.[doi:10.1016/j.rser.2004.09.013].
  • 2Agovic,K.,Jokic,A.,Bosch,P.P.J.,2005.Dispatching Power and Ancillary Services in Autonomous Network-Based Power Systems.IEEE Int.Conf.on Future Power Systems,p.1-6.
  • 3Biradar,S.K.,Patil,R.A.,Ullegaddi,M.,1998.Energy Storage System in Electricity Vehicle.IEEE Conf.on Power Quality,p.247-255.
  • 4Ceraolo,M.,2000.New dynamical models of lead-acid batteries.IEEE Trans.Power Syst.,15(4):1184-1190.[doi:10.1109/59.898088].
  • 5Ceraolo,M.,Buonarota,A.,Giglioli,R.,Menga,P.,Scarioni,V.,1992.An Electric Dynamic Model of Sodium Sulfur Batteries Suitable for Power System Simulations.11th Int.Electric Vehicle Symp.
  • 6Christiansen,J.C.,Dortolina,C.A.,Bermudez,J.P.,2000.An Approach to Solve the Unit Commitment Problem Using Genetic Algorithm.IEEE Int.Society on Power Engineering (Sumer Meeting),p.261-266.
  • 7Divya,K.C.,(Φ)stergaard,J.,2009.Battery energy storage technology for power systems:an overview.Electr.Power Syst.Res.,79(4):511-520.[doi:10.1016/j.epsr.2008.09.017].
  • 8Djapic,P.,Ramsay,C.,Pudjianto,D.,Strbac,G.,Mutale,J.,Jenkins,N.,Allan,R.,2007.Taking an active approach.IEEE Power Energy Mag.,5(4):68-77.[doi:10.1109/MPAE.2007.376582].
  • 9Dondi,P.,Beyoumi,D.,Haederli,C.,Julian,D.,Suter,M.,2002.Network integration of distributed power generation.J.Power Source,106(1-2):1-9.[doi:10.1016/S0378-7753(01)01031-X].
  • 10Erdinc,O.,Vural,B.,Uzunoglu,M.,2009.A Dynamic Lithiumm-Ion Battery Model Considering the Effects of Temperature and Capacity Fading.IEEE Int.Conf.on Clean Electrical Power,p.383-386.[doi:10.1109/ICCEP.2009.5212025].

同被引文献22

  • 1李蔚,刘长东,盛德仁,陈坚红,任浩仁,袁镇福,岑可法.基于免疫算法的机组负荷优化分配研究[J].中国电机工程学报,2004,24(7):241-245. 被引量:53
  • 2张敬平,梁志瑞,苏海锋,王建杰.基于改进排挤小生境遗传算法配网无功优化研究[J].继电器,2007,35(10):19-22. 被引量:14
  • 3盛鹍,孔力,齐智平,裴玮,吴汉,息鹏.新型电网-微电网(Microgrid)研究综述[J].继电器,2007,35(12):75-81. 被引量:200
  • 4张建华,黄伟.微电网运行控制与保护技术[M].北京:中国电力出版社,2010.
  • 5Hemandez-Aramburo C A, Green T C, Mugniot N. Fuel consumption minimization of a microgrid[J]. IEEE Transactions on Industry Applications, 2005, 41(3): 673-681.
  • 6Dimeas A L, Hatziargyriou N D. Operation of a multiagent system for microgrid control[J]. IEEE Transaction on Power Systems, 2005, 20 (3): 1447-1455.
  • 7Azmy A M, Erlich I. Online optimal management of PEM fuel cells using neural networks[J]. IEEE Transactions on Power Delivery, 2005, 29 (2): 1051-1058.
  • 8Orero S O, Irving M R. Large scale unit commitment using a hybrid genetic algorithm[J]. International Journal of Electrical Power & Energy Systems, 1997, 19 (1):45-55.
  • 9Blickle T, Thiele L. A comparison of selection schemes used in genetic algorithms[R]. TIK-Report (1995) : 14-22.
  • 10Deb K, Agarwal R B. Simulated binary crossover for continuous search space[J]. Complex System, 1995: 115-148.

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