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Sensitivity of the dispatch strategy in designing grid integrated hybrid energy systems

机译:电网集成混合能源系统设计中调度策略的敏感性

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Integrating renewable energy technologies based on solar PV (SPV) and wind energy in the energy system is challenging due to time dependence of the energy potential for these energy sources. Grid integrated hybrid energy systems combining SPV panels, wind turbines, battery bank and internal combustion generators (ICG) can be used in this regard specially for distributed generation. Energy-economic dispatch strategy plays a vital role in managing the energy flow of the system. However, it is difficult to design such energy system due to complexity of the energy flow because of the changes in electricity demand, solar and wind energy potential. This study evaluates the sensitivity of dispatch strategy on optimum system configuration considering Levelized Energy Cost (LEC) and Grid Integration Level (GI). Two existing dispatch strategies i.e. cycle charging (CC) and modified cycle charging (MCC) dispatch strategies are used for the analysis based on Pareto multi objective optimization of LEC and GI. Pareto-fronts obtained considering both approaches were subsequently compared for different grid curtailments. The results show that a notable difference in LEC and system configuration is observed for two different approaches with the increase of grid interactions.
机译:由于这些能源的能源潜力与时间的关系,将基于太阳能光伏(SPV)和风能的可再生能源技术集成到能源系统中具有挑战性。在这方面,可以将结合了SPV面板,风力涡轮机,电池组和内燃发电机(ICG)的并网集成混合能源系统用于分布式发电。能源经济调度策略在管理系统的能源流中起着至关重要的作用。然而,由于电力需求,太阳能和风能潜力的变化,由于能量流的复杂性,难以设计这样的能量系统。这项研究考虑了平均能源成本(LEC)和电网集成水平(GI),评估了调度策略对最佳系统配置的敏感性。基于LEC和GI的Pareto多目标优化,分析了两种现有的调度策略,即循环计费(CC)和修改后的循环计费(MCC)调度策略。随后比较了考虑两种方法获得的Pareto前沿,以得到不同的网格缩减率。结果表明,随着网格交互作用的增加,两种不同的方法在LEC和系统配置方面均出现了显着差异。

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