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考虑超短期负荷预测的储能电池参与电网一次调频控制策略
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作者单位:

1. 湖南大学电气与信息工程学院, 湖南省长沙市 410082; 2. 国网湖南省电力有限公司株洲供电分公司, 湖南省株洲市 412000; 3. 国网湖南省电力有限公司长沙供电分公司, 湖南省长沙市 410015

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基金项目:

国家重点研发计划资助项目(2017YFB0903504);国家自然科学基金资助项目(51677059)


Control Strategy for Energy Storage Battery Participating in Primary Frequency Regulation of Power Grid Considering Ultra-short-term Load Forecasting
Author:
Affiliation:

1. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; 2. Zhuzhou Power Supply Company of State Grid Hunan Electric Power Co., Ltd., Zhuzhou 412000, China; 3. Changsha Power Supply Company of State Grid Hunan Electric Power Co., Ltd., Changsha 410015, China

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    摘要:

    考虑电力系统调频效果和储能容量,提出一种储能参与电网一次调频的出力策略。通过超短期负荷预测曲线得到调频需求,提出了基于双层模糊控制的动态荷电状态(SOC)基准储能容量恢复策略,并给出了储能电池参与一次调频的效果评价指标与储能SOC健康度评价指标。最后,以典型区域电网为例,对所提策略在2种典型工况下进行仿真分析并与常规控制策略比较。结果表明,所提策略能够有效改善调频效果和储能SOC健康状态。

    Abstract:

    Considering the frequency regulation effect and energy storage capacity of power system, an output strategy of energy storage participating in primary frequency regulation of power grid is proposed. The frequency regulation demand is obtained by the ultra-short-term load forecasting curve, and a benchmark energy storage capacity recovery strategy of dynamic state-of-charge(SOC)based on bi-level fuzzy control is proposed. Moreover, the evaluation indices including the effect of energy storage battery participating in the primary frequency regulation and the health of energy storage SOC are given. Finally, taking the typical regional power grid as an example, the proposed strategy is simulated and analyzed in two typical conditions and compared with the conventional control strategy. The results show that the proposed strategy can effectively improve the frequency regulation effect and the health of energy storage SOC.

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李培强,丰云鹤,李欣然,等.考虑超短期负荷预测的储能电池参与电网一次调频控制策略[J].电力系统自动化,2019,43(19):87-93. DOI:10.7500/AEPS20181030001.
LI Peiqiang, FENG Yunhe, LI Xinran,et al.Control Strategy for Energy Storage Battery Participating in Primary Frequency Regulation of Power Grid Considering Ultra-short-term Load Forecasting[J].Automation of Electric Power Systems,2019,43(19):87-93. DOI:10.7500/AEPS20181030001.

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历史
  • 收稿日期:2018-10-30
  • 最后修改日期:2019-06-06
  • 录用日期:2019-04-06
  • 在线发布日期: 2019-06-04
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