地方能源系统中的电力储存

W. Seward, Weiqi Hua, Meysam Qadrdan
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摘要

传统上,电力系统的运行依赖于供应侧的灵活性,从大型化石燃料发电厂到管理供需波动。可变可再生能源发电的增加增加了可再生能源电力的削减和电价的变化。消费者可以利用不稳定的电价,利用电力储存来减少电费。随着化石燃料发电的减少,平衡供需的传统方法必须改变。电力储存为化石燃料的灵活性提供了另一种选择,预计将支持高水平的可再生能源发电。电化学存储是一种很有前途的局部能源系统技术。特别是锂离子电池,由于其高能量密度和高效率。然而,尽管在过去的10年里,锂离子电池的资本成本下降了89%,但锂离子电池仍然相对昂贵。拥有电池存储的本地能源系统可以将电池用于不同的目的,例如最大化其自我消耗,通过能源套利(在电价较低时储存能源,在电价上涨时释放能源)将运营成本降至最低,以及通过向公用事业电网提供灵活性服务来增加收入。在蓄电系统的设计中,额定功率和能量容量是至关重要的。给出了一个案例研究,目的是为局部能源系统的电池存储系统的最佳尺寸提供可重复的方法。该方法可适用于任何当地能源系统的发电或需求情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electricity Storage in Local Energy Systems
Traditionally, power system operation has relied on supply side flexibility from large fossil-based generation plants to managed swings in supply and/or demand. An increase in variable renewable generation has increased curtailment of renewable electricity and variations in electricity prices. Consumers can take advantage of volatile electricity prices and reduce their bills using electricity storage. With reduced fossil-based power generation, traditional methods for balancing supply and demand must change. Electricity storage offers an alternative to fossil-based flexibility, with an increase expected to support high levels of renewable generation. Electrochemical storage is a promising technology for local energy systems. In particular, lithium-ion batteries due to their high energy density and high efficiency. However, despite their 89% decrease in capital cost over the last 10 years, lithium-ion batteries are still relatively expensive. Local energy systems with battery storage can use their battery for different purposes such as maximising their self-consumption, minimising their operating cost through energy arbitrage which is storing energy when the electricity price is low and releasing the energy when the price increases, and increasing their revenue by providing flexibility services to the utility grid. Power rating and energy capacity are vitally important in the design of an electricity storage system. A case study is given for the purpose of providing a repeatable methodology for optimally sizing of a battery storage system for a local energy system. The methodology can be adapted to include any local energy system generation or demand profile.
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