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Assessment of Hybrid Off-Grid Wind Photovoltaic System: A Case Study of University Campus

机译:杂交离网风风光型系统评估 - 以大学校园为例

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The new and improved Smart Grid (SG) is replacing conventional electrical grid due to: (a) Integration of renewable energy sources, (b) Demand response programs, (c) energy management system, and (d) supply versus demand management. The electrical demand is typically supplied by conventional fossil fuel generation that induces high cost and increased carbon dioxide (CO_2) emissions. Therefore, to overcome abovementioned issues, there is a pressing need to supply the consumer demand using hybrid energy system with low cost and reduced CO_2 emissions. The analytical assessment of optimal hybrid power generation system at University campus is performed during load shedding hours or unavailability of power supply from the conventional power system. Further, this paper analyzes four various configurations of the power system that includes: (a) Diesel based, (b) Photo Voltaic (PV) based, (c) Wind based, and (d) Wind and PV based power generation system. Cost of Energy (COE) and Net Present Cost (NPC) plays a vital role in opting for power generation system. Therefore, this research will analyze COE and NPC for the abovementioned configurations using Hybrid Optimization Model for Electric Renewables (HOMER) software. A configuration with reduced COE and NPC will be proposed for University campus.
机译:新的和改进的智能电网(SG)正在取代传统的电网由于:(a)可再生能源的整合,(b)需求响应计划,(c)能源管理系统,(d)供应与需求管理。电气需求通常由常规化石燃料产生提供,以诱导高成本和增加的二氧化碳(CO_2)排放。因此,为了克服上述问题,需要使用具有低成本和减少的CO_2排放的混合能量系统来提供消费者需求。在大学校园内最佳混合动力发电系统的分析评估在负载脱落时间或来自传统电力系统的电源的不可用。此外,本文分析了电力系统的四种各种配置,该电力系统包括:(a)基于柴油的柴油,(b)光伏(PV)基于型,(c)浪的voltaic(pv)和(d)风和基于PV的发电系统。能源成本(COE)和净目前的成本(NPC)在选择发电系统方面发挥着至关重要的作用。因此,本研究将使用电动再生能源(HOMER)软件的混合优化模型分析COE和NPC的上述配置。大学校园将提出减少COE和NPC的配置。

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