This paper presents a new optimum design for an off-grid hybrid solar photovoltaic (PV), wind turbine (WT), and battery storage system for power isolated dwellings in Malaysia and South Africa. Selecting a desirable design of the WT/PV/Battery system among a wide variety of configurations, particularly at a favorable level of reliability, lowering the total cost, and reducing the surplus energy, remains a challenging task. The procedure of this work is summarized as follows: First, the parameter of the three diode PV model is optimally extracted from datasheet information to forecast the output power of the Yingli PV module. Then, the upper and lower variables bounds of the WT/PV/Battery system are intuitively determined. Afterward, the numerical method is employed to identify every possible configurations inside the design space. The non-dominated multi-objective principle is then established to generate optimal sets of Pareto front solutions. Finally, an integration of the best worst method, technique for order of preference by similarity to ideal solution, and group decision making technique are employed to weight the objectives with complete consistency ratios and rank the optimal designs based on practical judgments. The performance results showed that the optimal designs are comprised of 1 WTs, 105 PV modules (21 in series and 5 in parallel), and 69 storage batteries with zero loss of load probability (LLP), 60185.47 ($) of life cycle cost (LCC), and 13548017.77 KWh of excess energy for Malaysian scenario. While the optimum configuration of the South African case study consists of 16 WTs, 80 PV modules (20 in series and 4 in parallel), and 69 storage batteries with a favorable LLP values of 0.00068, 59180.15 ($) of LCC, and 19174160.54 ($) of excess energy, respectively. It can be concluded that the proposed methodology for finding appropriate size of the WT/PV/Battery system is capable of operating with extremely confident dependability while minimizing the overall cost of the system and minimizing the surplus energy.

本文介绍了一种新的优化设计，用于马来西亚和南非的电力隔离住宅的离网混合太阳能光伏 (PV)、风力涡轮机 (WT) 和电池存储系统。在各种各样的配置中选择理想的 WT/PV/电池系统设计，特别是在可靠的水平、降低总成本和减少剩余能量的情况下，仍然是一项具有挑战性的任务。这项工作的过程总结如下：首先，从数据表信息中优化提取三二极管光伏模型的参数，以预测英利光伏组件的输出功率。然后，直观地确定 WT/PV/Battery 系统的上下变量边界。然后，采用数值方法识别设计空间内的每一种可能配置。然后建立非支配多目标原则以生成最优的帕累托前沿解集。最后，综合最佳最差法、理想解相似度排序技术和群体决策技术，对具有完全一致性比的目标进行加权，并根据实际判断对最优设计进行排序。性能结果表明，最优设计由 1 个 WT、105 个光伏组件（21 个串联和 5 个并联）和 69 个蓄电池组成，负载概率为零（LLP），生命周期成本为 60185.47 美元（ LCC)，以及马来西亚情景的 13548017.77 千瓦时过剩能源。虽然南非案例研究的最佳配置包括 16 个 WT、80 个光伏组件（20 个串联和 4 个并联），和 69 个蓄电池，其有利的 LLP 值分别为 0.00068、LCC 的 59180.15 ($) 和过剩能量的 19174160.54 ($)。可以得出结论，用于寻找合适尺寸的 WT/PV/电池系统的拟议方法能够以极其可靠的可靠性运行，同时最大限度地降低系统的总成本并最大限度地减少剩余能量。