GridPeaks: Employing Distributed Energy Storage for Grid Peak Reduction
GridPeaks: Employing Distributed Energy Storage for Grid Peak Reduction
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GridPeaks：采用分布式储能来降低电网峰值
DOI：
10.1109/igsc48788.2019.8957184
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
A. Seetharam
中科院分区：
文献类型：
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作者：
Yasra Chandio;A. Mishra;A. Seetharam
由于高峰需求决定了发电的成本和碳排放，电力公司正在向可再生能源过渡，以减少高峰和减少碳足迹。虽然是清洁和可持续的能源，但大多数可再生能源（如太阳能、风能）的间歇性使其与传统电网的整合具有挑战性。储能可以促进一体化。电网规模的能源存储项目已经在世界各地出现，但需要巨大的前期资本成本，以及大量的时间和努力。相比昂贵的集中式能源存储，一种经济且可扩展的替代方案是利用电网中多个家庭的分布式能源存储。先前的研究已经提出采用家庭储能来减少峰值需求和客户的电费。然而，单独工作的家庭不能有效地剃除总峰值，因为不是所有的家庭峰值都与总峰值对齐，而且家庭没有总消费知识。为了解决这些限制，我们提出了GridPeaks，这是一个分布式能源存储系统，可以通过部署在电网上的主节点集中控制参与家庭的电池。主控系统根据电网总需求做出电池充放电决策。我们根据实际功耗数据评估GridPeaks。我们的研究结果表明，GridPeaks可以将整个电网的峰值减少23%，并将发电成本降低14%。
Since peak demand dictates the costs and carbon emissions in electricity generation, electric utilities are transitioning to renewable energy to cut peaks and curtail carbon footprint. Although clean and sustainable energy source, intermittent nature of most renewables (e.g., solar, wind) makes it challenging to integrate them with the traditional electric grid. Energy storage could facilitate the integration. Grid-scale energy storage projects have been coming up across the world, but require huge upfront capital costs, and significant time and efforts. An economic and scalable alternative to expensive centralized energy storage is to leverage distributed energy storage across several homes in the grid. Prior research has proposed employing home energy storage for cutting peak demands and electricity bills for customers. However, homes working individually cannot shave aggregate peaks efficaciously since not all home peaks are aligned with the aggregate peaks and homes don’t have the aggregate consumption knowledge. To address these limitations, we present GridPeaks, a distributed energy storage system that centrally controls the batteries of the participating homes from a master node deployed at the grid. The master makes battery charging-discharging decisions based on aggregate grid demand. We evaluate GridPeaks on real power consumption data. Our results show that GridPeaks can cut grid-wide peaks by 23% and reduce the generation costs by up to 14%.