分时电价环境下的办公建筑空调负荷双层柔性优化控制策略

发布时间：2018-03-10 01:03

本文选题：能效　切入点：空调负荷　出处：《电力系统保护与控制》2017年21期 　论文类型：期刊论文

【摘要】：空调系统是办公建筑中电力能源消耗较大的终端设备,其不合理的运行方式导致用电效率低下,实现空调系统的用电优化已成为电力需求响应的重要研究内容之一。为了降低用户用电费用和提高空调系统能效,提出了分时电价环境下的办公建筑空调负荷双层柔性优化控制策略。在上层模型中,考虑室外温度变化和分时电价信息,通过柔性调节空调系统的预冷时间和设定温度,实现兼顾用电费用最省和用户舒适度最优的效果,并将得到的空调系统冷负荷量输出给下层模型。在下层模型中,根据多台冷水机组性能(Coefficient of Performance,COP)特性的不同,优化负载率的分配,达到冷水机组总体能效最大的效果。采用粒子群算法求解双层模型,通过算例仿真,比较空调系统在不同运行模式下的结果,验证了所提策略可以有效地提高冷水机组的效率,降低用电费用。
[Abstract]:Air conditioning system is the terminal equipment which consumes more energy in office buildings, and its unreasonable operation mode leads to low efficiency of electricity consumption. In order to reduce the cost of electricity consumption and improve the energy efficiency of air conditioning system, it has become one of the important research contents of electricity demand response to realize the optimization of air conditioning system. In the upper layer model, considering the change of outdoor temperature and time-sharing price information, the precooling time and setting temperature of air conditioning system are adjusted by flexibility. In the lower model, the cooling load of the air conditioning system is output to the lower layer model. In the lower model, according to the performance coefficient of performance COPs of several chillers, the cooling load of the air conditioning system is output to the lower layer model according to the different characteristics of the performance coefficient of the water chiller, and the cooling load of the air conditioning system is output to the lower layer model. In order to optimize the load distribution and achieve the maximum overall energy efficiency of the chiller, the particle swarm optimization algorithm is used to solve the bilevel model, and the results of the air conditioning system under different operation modes are compared by the example simulation. It is verified that the proposed strategy can effectively improve the efficiency of the chiller and reduce the power cost.
【作者单位】：河海大学能源与电气学院;江苏省配用电与能效工程技术研究中心;国网江苏省电力公司;国电南瑞科技股份有限公司;南京河海科技有限公司;
【基金】：国家自然科学基金项目(51577051) 国网公司科技项目(SGJS0000YXJS1501044) 国家发改委物联网专项“基于物联网的智能用电综合管理与能效提升技术研发及产业化”~~
【分类号】：TB657.2;TM73

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