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A MILP methodology to optimize sizing of PV - Wind renewable energy systems

机译：一种MILP方法，可优化光伏发电规模-风能可再生能源系统

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摘要

This paper proposes a methodology that is based on mixed-integer linear programming (MILP) to calculate the optimal sizing of a hybrid wind-photovoltaic power plant in an industrial area. The proposed methodology considers the: i) load requirements; ii) physical and geometric constraints for the renewable plants installation; iii) operating and maintenance costs of both wind and PV power plants; and the iv) electric energy absorbed by the public network.The power demand variation associated with the production cycles is considered by using a stochastic simulation tool. To consider both the load and seasonality variability, and to adapt the methodology to the actual operational use of the power plant, the optimization is performed separately for each month of the year. Then, an integrated economic analysis is discussed. The methodology is adopted to analyze an industrial plant in the Rome area used as a train depot and for maintenance purposes. The results, which combine the needs of the plant activity with the availability of renewable energy, enabled the determination of optimal solutions and the relevant savings achievable.
机译：本文提出了一种基于混合整数线性规划（MILP）的方法来计算工业区混合风力光伏发电站的最佳规模。所提出的方法考虑了：i）负荷要求； ii）可再生能源装置安装的物理和几何约束； iii）风力和光伏电站的运营和维护成本； iv）公共网络吸收的电能。通过使用随机模拟工具来考虑与生产周期相关的电力需求变化。为了同时考虑负荷和季节性变化，并使方法论适应发电厂的实际运行用途，每年的每个月分别进行优化。然后，讨论了综合经济分析。该方法用于分析罗马地区用作火车站和维修目的的工厂。结果结合了工厂活动的需求和可再生能源的可用性，从而能够确定最佳解决方案并实现相关的节省。

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