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The application of the Luus-Jaakola direct search method to the optimization of a hybrid renewable energy system.

机译：Luus-Jaakola直接搜索方法在混合可再生能源系统优化中的应用。

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he application of the Luus-Jaakola direct search method to the optimization of stand-alone hybrid energy systems consisting of wind turbine generators (WTG's), photovoltaic (PV) modules, batteries, and an auxiliary generator was examined. The loads for these systems were for agricultural applications, with the optimization conducted on the basis of minimum capital, operating, and maintenance costs. Five systems were considered: two near Edmonton, Alberta, and one each near Lethbridge, Alberta, Victoria, British Columbia, and Delta, British Columbia. The optimization algorithm used hourly data for the load demand, WTG output power/area, and PV module output power. These hourly data were in two sets: seasonal (summer and winter values separated) and total (summer and winter values combined). The costs for the WTG's, PV modules, batteries, and auxiliary generator fuel were full market values. To examine the effects of price discounts or tax incentives, these values were lowered to 25% of the full costs for the energy sources and two-thirds of the full cost for agricultural fuel. Annual costs for a renewable energy system depended upon the load, location, component costs, and which data set (seasonal or total) was used. For one Edmonton load, the cost for a renewable energy system consisting of 27.01 m2 of WTG area, 14 PV modules, and 18 batteries (full price, total data set) was
机译：他研究了Luus-Jaakola直接搜索方法在优化由风力涡轮发电机（WTG），光伏（PV）模块，电池和辅助发电机组成的独立混合能源系统中的应用。这些系统的负载用于农业应用，其优化是基于最小的资金，运营和维护成本进行的。考虑了五个系统：两个系统在艾伯塔省埃德蒙顿附近，每个系统在不列颠哥伦比亚省艾伯塔省维多利亚市的莱斯布里奇市和不列颠哥伦比亚省三角洲附近。优化算法将每小时数据用于负载需求，WTG输出功率/面积和PV组件输出功率。这些每小时数据分为两组：季节性（夏季和冬季值分开）和总计（夏季和冬季值相加）。 WTG，PV模块，电池和辅助发电机燃料的成本为全部市场价值。为了检查价格折扣或税收优惠的影响，将这些值降低为能源全部成本的25％和农业燃料全部成本的三分之二。可再生能源系统的年度成本取决于负载，位置，组件成本以及所使用的数据集（季节或总计）。对于一个埃德蒙顿负载，由27.01平方米的WTG区域，14个光伏模块和18个电池组成的可再生能源系统的成本为（全价，总数据集）

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