中文说明：可再生能源可以考虑为偏远地区电气化网格扩展通过困难的地形和茂密的丛林是不可能的经济上可行的最佳替代方案。这项研究建议综合的光伏、 风能混合动力系统，技术经济的评估与电池存储和柴油发电机的关闭网格杂交代中 Malaysia.The 的系统提出优化方法利用粒子群优化 (PSO) 算法，尽量减少损失的功率概率和电力成本。最好的成立的设计来满足这些目标是自主权的提出与 30 千瓦光伏板，系统考虑 8 天，4 座房子的可再生的迷你网格形式之间自主权的共享的。这项研究的成果将 benefit 其他发展中国家的类似的气候条件和利用可再生能源为可持续发展的经济指标。
English Description：
Renewable energy can be considered as the best alternative to electrification grid expansion in remote areas, which is impossible and economically feasible through difficult terrain and dense jungle. This study proposes an integrated photovoltaic and wind hybrid system for techno economic evaluation with battery storage and diesel generator off grid hybrid generation Malaysia.The This paper presents an optimization method based on particle swarm optimization (PSO) algorithm to minimize the power loss probability and power cost. The best design to set up to meet these goals is autonomy presented with 30 kW PV panels, system considered 8 days, 4 houses in renewable Mini grid form shared between autonomy. The results of this study will be bene fi t similar climate conditions and the use of renewable energy in other developing countries as economic indicators of sustainable development.