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Optimal Design of Renewable Energy System with Storage Towards Grid-Friendly Buildings

机译:面向电网友好型建筑物存储的可再生能源系统的优化设计

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摘要

A new design method is proposed for optimal sizing of grid-connected renewable energy systems with battery electrical storages in cases where financial budgetary limitation apply. Optimal scheduling of daily energy usage is taken into consideration in the design, which aims to achieve lowest annual operation cost, including charging/discharging of energy storage and buying electricity from grid. Generally, the optimal scheduling problems are solved by model predictive control (MPC)-based methods. However, this often leads to heavy computation loads that makes the methodology difficult to apply for optimal design. A rule-based scheduling method is proposed to critically reduce the computation load. This makes it possible to introduce generic algorithm to search optimal combinations of sizes in the whole variable space. Evaluations are made to optimize the sizing of photovoltaic (PV) and battery electrical storage systems for an existing office building in Netherlands. Results confirm efficiency of proposed design method. Computation load of the rule-based method is only 0.0001 of a MPC-based method.
机译:提出了一种新的设计方法,用于在财务预算有限的情况下,优化具有电池储能的并网可再生能源系统的规模。设计中考虑了每日能源使用的最佳计划,该计划旨在实现最低的年度运营成本,包括储能的充电/放电以及从电网购买电。通常,最佳调度问题是通过基于模型预测控制(MPC)的方法解决的。然而,这通常导致沉重的计算负担,这使得该方法难以应用于最优设计。提出了一种基于规则的调度方法来大幅度降低计算量。这使得可以引入通用算法来搜索整个可变空间中尺寸的最佳组合。进行了评估,以优化荷兰现有办公楼的光伏(PV)和电池蓄电系统的尺寸。结果证实了所提出的设计方法的有效性。基于规则的方法的计算负载仅为基于MPC的方法的0.0001。

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