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Reliability of High Renewable Penetration Microgrid Facilitated by Coordination of Air Conditioning System and Cooling Fans

机译:空调系统协调和冷却风扇的高可再生渗透微电网可靠性

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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 horizonbased 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:需求侧管理是众所周知的一种有效的方法,可以减少微电网中随机供需需求之间的功率不匹配。由于乘客的热舒适性主要由空气温度和速度决定,因此通过协调空调和机械通风(ACMV)系统和冷却风扇,可以提高建筑物需求灵活性的事实。本文解决了这些能量装置的协调调度,以最小化高可再生渗透微电网中供需的电力不匹配。开发了一个后退地平线的框架,以解决供应和需求的不确定性。基于此框架,我们必须通过未来的系统动态演变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这些器件,问题可能不会被遗传。因此,我们开发了一种基于拉格朗日放松的算法,可以有效地解决每个阶段的问题。数值结果显示了基于实际数据的提出方法的有效性。

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