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Reliability of high renewable penetration microgrid facilitated by coordination of air conditioning system and cooling fans

机译:通过协调空调系统和冷却风扇,提高了高可再生渗透性微电网的可靠性

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Demand side management is well known as an effective way to reduce the power mismatch between stochastic supply and demand in a microgrid. Since thermal comfort of occupants is mainly determined by air temperature and speed, we explore the fact that building demand flexibility could be enhanced by coordination of air conditioning and mechanical ventilation (ACMV) system and cooling fans. The coordinated scheduling of these energy devices is addressed in this paper to minimize the power mismatch between the supply and demand in a high renewable penetration microgrid. A receding horizon-based framework is developed to address the uncertainties in both the supply and demand. Based on this framework, we have to solve the problem at each sampling stage with the future evolution of the system dynamics. Due to the coupling between ACMVs and fans and a large number of these devices in the microgrid, the problem may not be tractable. So we develop a Lagrangian relaxation-based algorithm to efficiently solve the problem at each stage. Numerical results show the effectiveness of the proposed method based on the actual data.
机译:众所周知,需求方管理是减少微电网中随机供需之间功率不匹配的有效方法。由于乘员的热舒适性主要取决于空气温度和速度,因此我们探索了这样一个事实,即通过协调空调和机械通风(ACMV)系统以及冷却风扇可以提高建筑需求的灵活性。本文解决了这些能源设备的协调调度问题,以最大程度地降低高可渗透性微电网中供需之间的功率失配。建立了一种基于后备水平的框架,以解决供需双方的不确定性。基于此框架,我们必须随着系统动力学的未来发展来解决每个采样阶段的问题。由于ACMV和风扇之间的耦合以及微电网中的大量此类设备,该问题可能无法解决。因此,我们开发了一种基于拉格朗日松弛的算法,可以有效地解决每个阶段的问题。数值结果表明了该方法的有效性。

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