李存斌, 庆格夫, 陆龚曙, 李鹏. 基于全生命周期成本的配电网变压器选型系统动力学模型[J]. 现代电力, 2014, 31(3): 86-90.
引用本文: 李存斌, 庆格夫, 陆龚曙, 李鹏. 基于全生命周期成本的配电网变压器选型系统动力学模型[J]. 现代电力, 2014, 31(3): 86-90.
LI Cunbin, QING Gefu, LU Gongshu, LI Peng. System Dynamics Model of Transformer Selection for Distribution Network Based on Life Cycle Cost[J]. Modern Electric Power, 2014, 31(3): 86-90.
Citation: LI Cunbin, QING Gefu, LU Gongshu, LI Peng. System Dynamics Model of Transformer Selection for Distribution Network Based on Life Cycle Cost[J]. Modern Electric Power, 2014, 31(3): 86-90.

基于全生命周期成本的配电网变压器选型系统动力学模型

System Dynamics Model of Transformer Selection for Distribution Network Based on Life Cycle Cost

  • 摘要: 针对配电网升级改造过程中的设备选型投资决策问题,以配电网变压器这一重要设备为研究对象,充分考虑影响变压器全寿命周期成本的动态变化,利用系统动力学理论与方法,构建配电网变压器全寿命周期成本的系统动力学模型,用以模拟和计算配电网变压器全周期成本,为配电网设备选型提供参考思路。选取某地区农网改造项目作为案例,构建变压器全生命周期系统动力学模型并进行仿真,结果表明运用系统动力学方法来反映变压器的LCC变化过程,不仅可以考虑过程中的影响成本的变化因素(如电量、故障率等),而且能够通过模型模拟结果直观地反映出LCC及其构成因素的变化过程。

     

    Abstract: As for the investment decision-making problems of equipment selection in the process of distribution network upgrade, the important power transformer equipment is taken as the research object. Then, by considering the dynamic changes of the whole life cycle cost (LCC) which affected the power transformer equipment, the system dynamics theory and method are used to build the system dynamics model of whole life cycle cost of power transformer equipment. This mode can be used to simulate and calculate full cycle cost of power transformer, and provide a reference for selecting power distribution network equipment. In the end, a case about retrofit projects in an area is given, and the dynamic model of whole life cycle of transformer system is built and simulated. The results show that the system dynamics method is used to reflect the transformer LCC change process, which not only can consider the change factors (such as electricity, failure rate, etc.) that affect the cost in the process, but also can reflect the change process of LCC and its component factors can be intuitively reflected through the model simulation results.

     

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