计及储能与可控负荷的智能楼宇系统短期优化调度

Short-term Optimal Scheduling of Intelligent Building System Considering Energy Storage and Controllable Load

本文以深度挖掘源-荷互动潜力为目标出发,提出了一种分布式动态可重构电池网络架构的楼宇储能系统拓扑,以提高智能楼宇储能系统的灵活调度能力。首先,通过深入分析楼宇系统内不同类型的可控负荷的工作特性和可中断负荷的反弹效应,建立楼宇可控负荷的区间内可调度裕值指标。在此基础上,考虑用户的用电舒适度和楼宇系统调度区间内实际可调度裕值,以楼宇系统调度成本最小为目标函数建立了短期优化调度模型。最后,应用改进的粒子群算法在IEEE14节点配电系统上对所提的模型进行求解和仿真分析。仿真的结果表明所提出的调度模型可以有效地提升新能源的消纳能力和降低楼宇负荷的功率波动。

Based on the goal of deeply mining the potential in source-load interaction,a distributed dynamic reconfigurable battery network architecture for a building energy storage system topology is proposed to improve the flexible scheduling capability of an intelligent building energy storage system. First,through an in-depth analysis of the working characteristics of different types of controllable loads in the building system and the rebound effect of interruptible load,a schedulable margin index for the controllable load in the scheduling interval is established. On this basis,considering the user’s electricity comfort and the actual schedulable margin in the building system’s scheduling interval,a shortterm optimal scheduling model is established with the system’s minimum scheduling cost as an objective function. Finally,the improved particle swarm optimization is used to solve and simulate the proposed model on an IEEE 14-node power distribution system,and simulation results show that the proposed scheduling model can effectively improve the energy consumption capacity for new energy sources and reduce the power fluctuations of building loads.