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Evaluating the application of energy storage and day-ahead solar forecasting to firm the output of a photovoltaic plant

机译:评估储能和日前太阳能预报的应用,以确保光伏电站的输出稳定

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The cost of photovoltaic (PV) electricity is competitive with some high cost forms of natural gas electricity in some areas. However, the variability of PV energy increases the cost to utilize it. This increased cost is partially shouldered by imbalance penalties assigned to the plant owner. Energy storage and forecasting services are two techniques that have been proposed to reduce the penalties. This paper quantifies the level of energy storage and forecasting necessary to reduce, or firm, the intra-hour variability of a PV plant. It also assesses the economics of using a battery energy storage system (BESS) to firm output, finding that more than a 90% cost reduction is required to justify deployment of a BESS. Finally, the viability of a BESS providing multiple services to the power system is assessed
机译:在某些地区,光伏(PV)电的成本与天然气电的某些高成本形式相比具有竞争力。然而,PV能量的可变性增加了利用它的成本。分配给工厂所有者的不平衡罚款部分承担了增加的成本。能量存储和预测服务是已提出的减少处罚的两种技术。本文对减少或确定光伏电站的小时内波动所需的能量存储和预测水平进行了量化。它还评估了使用电池储能系统(BESS)来确保产量的经济性,发现为了使BESS部署合理,需要将成本降低90%以上。最后,评估了为电力系统提供多种服务的BESS的可行性

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