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首页> 外文期刊>Journal of Energy Storage >Optimal techno-economic sizing of a solar-biomass-battery hybrid system for off-setting dependency on diesel generators for microgrid facilities
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Optimal techno-economic sizing of a solar-biomass-battery hybrid system for off-setting dependency on diesel generators for microgrid facilities

机译:太阳能 - 生物量电池混合系统的最佳技术经济尺寸,用于微电网柴油发电机的脱离依赖性

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Increase in energy demand and scarcity of fossil fuels have increased concerns over rudimentary energy security. The adverse impact on the environment by fossil fuel based power generation has supervened the focus on renewable energy. To ascertain the reliability of power, diesel generator (DG-set) based backup system is predominant. DG-set based power generation has become very costly and has an adverse impact on the environment. Renewable energy (RE) based power generation (solar/wind) proves to be an effective alternative but is intermittent and variable in nature. One of the key solutions is by providing energy storage in multi-generation systems (MGS). Energy storage plays a vital role in MGS by smoothening the variations in the intermittent generation and arresting the net load variations. However, an approach for obtaining optimal asset configuration of MGS for mitigating DG-set along with operating strategy for a battery energy storage system (BESS) is the real challenge. A generic adaptable model for techno-economic optimization has been developed and presented. This paper attempts to find the optimal sizes for a battery bank with solar PV system for eliminating DG-set for microgrids. The problem has been solved using mixed integer linear programming (MILP) based optimization. The economic viability along with carbon mitigation for different microgrids have been presented. The evaluation of the optimization model is carried out with six different real case studies (Educational, micro industrial, residential, medical institutions) of India. The techno-economic analysis has been presented for different scenarios of each case study and compared with the existing solution.
机译:化石燃料的能源需求和稀缺增加了对基本能源安全的担忧。化石燃料发电对环境的不利影响已对可再生能源的关注重点。为了确定功率的可靠性,基于柴油发生器(DG-SET)的备用系统是主要的。基于DG集的发电已经变得非常昂贵,对环境产生了不利影响。基于可再生能源(RE)的发电(太阳能/风)被证明是一种有效的替代方案,但在自然界中是间歇性的。其中一个关键解决方案是通过在多代系统(MGS)中提供能量存储。通过平滑间歇生成的变化和捕获净负载变化,能量存储在MGS中起着至关重要的作用。然而,用于获得用于减轻DG集合的MGS的最佳资产配置以及电池能量存储系统(BESS)的操作策略是真正的挑战。开发和介绍了技术经济优化的通用适应性模型。本文试图找到带有太阳能光伏系统的电池组的最佳尺寸,用于消除微电网的DG集。使用混合整数线性编程(MILP)优化来解决了问题。已经提出了经济可行性以及不同微电网的碳缓解。优化模型的评价是用印度的六种不同实际案例研究(教育,微工业,医疗机构)进行的。针对每种案例研究的不同情景,并与现有解决方案相比,已经提出了技术经济分析。

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