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Probabilistic Performance Assessment of a Roof Top Wind, Solar Photo Voltaic Hybrid Energy System

机译:屋顶风的概率性能评估,太阳能光伏杂交能量系统

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The escalation in electrical energy costs associated with fossil and nuclear fuels, and enhanced public awareness of potential environmental impacts of conventional energy systems has created an increased interest in the development and utilization of alternate sources. Photo Voltaic and Wind Energy Sources are being increasingly recognized as cost effective generation sources in small isolated power systems. A realistic cost benefit analysis requires evaluation models that can recognize the highly erratic nature of these energy sources while maintaining the chronology and inter dependence of the random variables inherent in them. This paper reports the probabilistic performance assessment of a wind, Solar Photo Voltaic (SPV) Hybrid Energy System. A 400 watt wind Electric Generator (WEG), 840 WP (peak watt power) Solar Photo Voltaic Power Generator, 6x75 Amp-Hour (Ah) backup storage batteries, charge controller (CC), 1KVA inverter(INV), etc were designed, integrated and optimized to predict the behavior of generating system based on available local wind / solar and load data at Vasavi College of Engineering, Hyderabad, India. Storage batteries can be designed for various hours of uninterrupted power supply in the event of Wind & SPV energy failures. This model is useful for evaluating the probabilistic reliability evaluation of generating systems and gaining a better insight in the component sizes needed before they are built. The loss of supply and effects of the randomness of the wind and solar radiation's were presented. The Wind Solar Photo Voltaic Hybrid Energy System (WSPVHES) is working satisfactorily. The above system is reliable and economical for remote applications.
机译:与化石和核燃料相关的电能成本的升级,以及增强的公众对传统能源系统的潜在环境影响的公众意识已经为替代来源的开发和利用产生了较高的兴趣。光伏和风能源越来越被认为是小型电力系统中的成本效益的生成源。一个现实的成本效益分析需要评估模型,可以识别这些能源的高度不稳定性质,同时维持其所固有的随机变量的年表和互相依赖性。本文报告了风,太阳能光伏(SPV)混合能源系统的概率性能评估。 400瓦风电发电机(WEG),840 WP(峰值瓦特电源)太阳能光伏发电机,6x75安培小时(AH)备用蓄电池,充电控制器(CC),1KVA逆变器(INV)等设计,集成并优化以预测基于可用的地方风/太阳能和负载数据的发电系统的行为,印度海德拉巴省瓦斯瓦西工程学院。在风力和SPV能量故障发生时,蓄电池可以设计用于各个小时的不间断电源。该模型可用于评估生成系统的概率可靠性评估,并在构建之前在所需的组件尺寸中获得更好的洞察力。提出了风和太阳辐射随机性的供应和影响的损失。风光太阳能光伏杂交能量系统(WSPVELS)令人满意。上述系统可用于远程应用是可靠且经济的。

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