A multi-period optimal power flow model including battery energy storage

A multi-period optimal power flow model including battery energy storage
复制标题

包含电池储能的多周期最优潮流模型

DOI:
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发表时间:
2013
期刊:
IEEE Power & Energy Society General Meeting
影响因子:
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通讯作者:
K. Men
K. Men
中科院分区:
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文献类型:
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作者:
Zhongwei Wang;J. Zhong;Dong Chen;Yuefeng Lu;K. Men

文献摘要

被引文献

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储能装置在当今互联电力系统中起着非常重要的作用。它们可以用于调峰以及减轻分布式发电源引起的波动。电池技术的发展使得大规模电池储能(BES)装置集成到电力系统中成为可能。为了研究BES对发电调度的影响,提出了一个包含BES的多时段最优潮流模型。该模型的目标是最小化总发电成本考虑充电和放电的BES成本。模型考虑了荷电状态(SOC)约束和其它电网约束。所提出的模型确定在每个周期的最佳输出功率以及电池充电/放电计划。最后,基于IEEE-30系统的算例验证了所提模型的有效性和正确性。
Energy storage devices play a very important role in nowadays inter-connected power systems. They could be used for peak shaving as well as mitigating the fluctuations caused by distributed generation sources. The development of battery technologies makes it possible to integrate large-scale battery energy storage (BES) devices into power systems. In this paper, a multi-period optimal power flow (OPF) model including BES is proposed to study the effect of BES on power generation scheduling. The objective of the proposed model is to minimize the total generation cost considering charging and discharging costs of BES. State of charge (SOC) constraints and other power network constraints are taken into consideration in the model. The proposed model determines the optimal output power in each period as well as the battery charging/discharging schedule. Finally, the numerical example based on IEEE-30 system shows effectiveness and validity of the proposed model.