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Coordinated Air Conditioning Resources Scheduling with High Photovoltaic Penetrations

机译:高光伏渗透率的协调空调资源调度

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Controllable air conditioning loads (ACLs) and distributed renewable energy sources have become one of the research focuses in recent decades. This paper aims to propose a new control strategy which can schedule the interruptible ACLs and increase the photovoltaic (PV) penetration rate in distribution network, with battery energy storage system (BESS) involved in the scheduling process. The control scheme is modelled and further transformed into a MILP (mixed integer linear programming) problem whose objective function is to minimise the system operation costs. In order to guarantee the thermal comfort of customers, an advanced two-parameter thermal model is applied to describe the indoor thermodynamic transition more accurately. The proposed scheme is tested on a five-node radial distribution network based on large-scale integrated commercial buildings. The simulation results demonstrate the efficiency of proposed control scheme.
机译:可控制的空调负荷(ACL)和分布式可再生能源已成为近几十年来的研究重点之一。本文旨在提出一种新的控制策略,该策略可以调度可中断ACL,并通过调度过程中涉及的电池储能系统(BESS)来提高配电网中的光伏(PV)渗透率。对控制方案进行建模,然后进一步转换为MILP(混合整数线性规划)问题,其目标功能是使系统运行成本最小化。为了保证客户的热舒适性,采用了先进的两参数热模型来更准确地描述室内的热力学转变。该方案在基于大型综合商业建筑的五节点径向分布网络上进行了测试。仿真结果证明了所提控制方案的有效性。

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