肖小清, 阚伟民, 杨允, 张士杰, 肖云汉. 有蓄能的联供系统超结构优化配置[J]. 中国电机工程学报, 2012, 32(32): 8-14,3. DOI: 10.13334/j.0258-8013.pcsee.2012.32.011
引用本文: 肖小清, 阚伟民, 杨允, 张士杰, 肖云汉. 有蓄能的联供系统超结构优化配置[J]. 中国电机工程学报, 2012, 32(32): 8-14,3. DOI: 10.13334/j.0258-8013.pcsee.2012.32.011
XIAO Xiao-qing, KAN Wei-min, YANG Yun, ZHANG Shi-jie, XIAO Yun-han. Superstructure-based Optimal Planning of Cogeneration Systems With Storage[J]. Proceedings of the CSEE, 2012, 32(32): 8-14,3. DOI: 10.13334/j.0258-8013.pcsee.2012.32.011
Citation: XIAO Xiao-qing, KAN Wei-min, YANG Yun, ZHANG Shi-jie, XIAO Yun-han. Superstructure-based Optimal Planning of Cogeneration Systems With Storage[J]. Proceedings of the CSEE, 2012, 32(32): 8-14,3. DOI: 10.13334/j.0258-8013.pcsee.2012.32.011

有蓄能的联供系统超结构优化配置

Superstructure-based Optimal Planning of Cogeneration Systems With Storage

  • 摘要: 将蓄能装置引入到基于超结构方法的分布式联供系统优化配置混合整数线性规划模型之中,所得模型可实现系统结构和运行同步优化、各设备与蓄能装置同时优化,采用分枝定界法结合单纯形算法实现对模型的求解。通过研究案例,验证了计算模型和求解方法的可行性和有效性。计算结果亦表明,联供系统中引入蓄能装置可以减小系统内其它制冷设备的容量;在分时电价体系下引入蓄能装置可以部分解除冷热负荷与发电机组之间的强耦合关系,使联供系统运行更灵活,并降低供能成本和能耗;在不同的典型日内蓄能装置的优化运行规律不同,取决于电价、负荷需求等。

     

    Abstract: In this paper,the storage was introduced into a superstructure-based optimal planning mixed integer linear programming(MILP) model of cogeneration systems.The model can achieve simultaneous optimization of system structure and operation as well as simultaneous optimization of all equipment including storage.At the same time the branch and bound method combined with the simplex method was used as a solution algorithm.Through a case study,the validity and effectiveness of the proposed model and the method were verified.The computational results also indicate that,the introduction of storages in cogeneration systems reduces the capacities of other refrigeration equipment;under time of use electricity rates,storage enhances the system flexibility and economic and energy saving can be obtained through removing some of the strong coupling relationship between cooling/heating demands and generators.The optimal operation strategies of storage are different in typical days,which depend on electricity price,energy demands et al.

     

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