ABSTRACT

This article presents a novel mathematical formulation to solve the problem of optimally sizing and managing battery energy storage for the solar photovoltaic system integration of a multi-apartment building. The aim is the maximization of the collective self-consumption maintaining control over time of the energy sold and bought and the monitoring of the state of batteries while ranging from minimum to maximum levels. This is obtained through a new mathematical programming model with three different objective functions that can be tuned simultaneously to find Pareto optimal solutions to the problem. The computational results in detailed scenarios with real data verify the model's adequacy to deal with the real problem and give a measure of the saving of bought and sold energy.

摘要

本文提出了一种新颖的数学公式，以解决为多公寓建筑的太阳能光伏系统集成优化大小和管理电池储能的问题。目标是最大化集体自我消耗，在一段时间内保持对销售和购买能源的控制，并在从最低水平到最高水平范围内监控电池状态。这是通过具有三个不同目标函数的新数学规划模型获得的，这些目标函数可以同时调整以找到问题的帕累托最优解。详细场景和真实数据的计算结果验证了模型处理实际问题的充分性，并给出了买卖能源节约的衡量标准。