The urge for Electrical Power is escalating regularly at an increased rate due to the internationalization and progression of civilization. However, proper economic consumption of additional energy produced from the Islanded Hybrid Microgrid System (IHMS) that has not been consumed by the load is a major challenge globally. To overcome the above mentioned summon, this research focuses on a multi‐optimal combination of stand‐alone IHMS for Tioman Motel located at Tioman Island, Malaysia with an efficient exertion of redundant energy. To avail of this excess energy efficiently, an electrical heater along with a storage tank has been designed concerning diversion load having proper energy management. Furthermore, the system design has adopted the improved hybrid optimization by genetic algorithms (IHOGA) software for profitable and practical analysis of the designated configuration. Moreover, the optimal size of every module has been tested and analyzed through MATLAB Simulink and stabilized the whole system by representing the values of 1297 and 15 096 kW have been determined as the approximated peak and average load per day for the Motel, respectively. Moreover, the optimized IHMS is comprehended of Photovoltaic (PV) cells, Diesel Generator, Wind Turbine, Battery, and Converter. Adjacent to this, the optimized system ensued in having a net present cost (NPC) of $19.77 million, Renewable Fraction (RF) of 23%, cost of energy (COE) of $0.175/kWh, CO₂ of 1 726 825 kg/year and excess energy of 532.26MWh per annum. Whereas, the system involved with the diesel generator lead a COE of $0.315/kWh, CO₂ of 6 213 353 kg/year and NPC of $22.12 million. Additionally, this design alone with diesel generator has a higher CO₂ emission rate, COE and NPC compared to optimized IHMS. On the other hand, the amount of excess energy is effectively utilized with an electrical heater as a diversion load.

中文翻译：

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通过使用iHOGA和Matlab适当地吸引多余能量的大型汽车旅馆的孤岛混合微电网的设计和演示

由于文明的国际化和进步，对电力的渴望正以越来越高的速度定期升级。然而，孤岛式混合微电网系统（IHMS）产生的，未被负载消耗的额外能源的适当经济消耗是全球范围内的主要挑战。为了克服上述召唤，本研究着眼于刁曼汽车旅馆的独立IHMS的多优化组合，该度假村位于马来西亚刁曼岛，有效地利用了多余的能量。为了有效地利用这种多余的能量，已经设计了一种电加热器以及一个储罐，该储罐涉及具有适当能量管理的转移负荷。此外，系统设计采用了改进的遗传算法（IHOGA）混合优化技术，可对指定配置进行有利可图的实用分析。此外，每个模块的最佳尺寸已通过MATLAB Simulink进行了测试和分析，并通过表示1297和15096 kW的值稳定了整个系统，分别确定为Motel的近似峰值和每天的平均负荷。此外，优化的IHMS包括光伏（PV）电池，柴油发电机，风力涡轮机，电池和转换器。与此相邻的是，优化后的系统的净现值（NPC）为1,977万美元，可再生部分（RF）为23％，能源成本（COE）为$ 0.175 / kWh，CO 通过MATLAB Simulink对每个模块的最佳尺寸进行了测试和分析，并通过分别表示1297和15096 kW的值确定了Motel每天的近似峰值和平均负载，从而稳定了整个系统。此外，优化的IHMS包括光伏（PV）电池，柴油发电机，风力涡轮机，电池和转换器。与此相邻的是，优化后的系统的净现值（NPC）为1,977万美元，可再生部分（RF）为23％，能源成本（COE）为$ 0.175 / kWh，CO 通过MATLAB Simulink对每个模块的最佳尺寸进行了测试和分析，并通过分别表示Motel 1的每日峰值和平均负载来确定1297和15096 kW的值来稳定整个系统。此外，优化的IHMS包括光伏（PV）电池，柴油发电机，风力涡轮机，电池和转换器。与此相邻的是，优化后的系统的净现值（NPC）为1,977万美元，可再生部分（RF）为23％，能源成本（COE）为$ 0.175 / kWh，CO 风力涡轮机，电池和转换器。与此相邻的是，优化后的系统的净现值（NPC）为1,977万美元，可再生部分（RF）为23％，能源成本（COE）为$ 0.175 / kWh，CO 风力涡轮机，电池和转换器。与此相邻的是，优化后的系统的净现值（NPC）为1,977万美元，可再生部分（RF）为23％，能源成本（COE）为$ 0.175 / kWh，CO每年1 726 825千克中的_2架，每年多余能量532.26兆瓦时。而与柴油发电机有关的系统的COE为0.315美元/千瓦时，CO ₂为6213353千克/年，NPC为2212万美元。此外，与优化的IHMS相比，单独使用柴油发电机的这种设计具有更高的CO ₂排放率，COE和NPC。另一方面，电加热器有效地利用了多余的能量作为转移负荷。