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面向用户侧的电池储能配置与运行优化策略
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作者单位:

1.浙江大学电气工程学院;2.浙江华云信息科技有限公司

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Optimization Strategy of Configuration and Operation for User-side Battery Energy Storage
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1.College of Electrical Engineering,Zhejiang University;2.Zhejiang Huayun Information Technology Co,Ltd

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    摘要:

    为提高用户侧电池储能投资与运行的经济性,降低用户用电成本,提出了用户侧电池储能配置优化及运行调度滚动优化方法。首先,分析了用户加装储能的收益以及储能运行的约束,然后构建了储能配置优化模型、储能月前和日内运行滚动优化模型,并用CPLEX求解器进行求解。在构建模型时加入了储能性能约束,能有效减少储能运行时充放电状态之间的转换次数,延长储能寿命。在月前优化中,确定一个预测的月需量防守值;在日内滚动优化中,构建了储能日运行分段优化模型及月需量防守值更新模型,实时更新日负荷数据及月需量防守值,进行滚动优化,不断修正负荷预测误差影响。最后,对一工业大用户进行算例仿真,验证了所提优化模型的有效性。

    Abstract:

    In order to improve the economy of the investment and operation of user-side battery energy storage and reduce the cost of user power consumption, a rolling optimization method of user-side battery energy storage configuration and operation scheduling is proposed. Firstly, the benefit of users after installing energy storage and the constraints of energy storage operation are analyzed. Then the energy storage configuration optimization model, the energy storage optimization model before month and the rolling optimization model for intra-day operation are constructed and solved by CPLEX solver. Energy storage performance constraints are added to the model, which can effectively reduce the number of transitions between charging and discharging states and prolong the life of energy storage. In the pre-month optimization, a predicted monthly demand defense value is determined. In the intra-day rolling optimization, a subsection optimization model for daily operation of energy storage and a renewal model for monthly demand defense value are constructed. The daily load data and monthly demand defense value are updated in real time, and the rolling optimization is carried out to continuously correct the impact of load forecasting error. Finally, a large industrial user is simulated to verify the validity of the model.

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引用本文

赵乙潼,王慧芳,何奔腾,等.面向用户侧的电池储能配置与运行优化策略[J/OL].电力系统自动化,http://doi.org/10.7500/AEPS20190507001.
ZHAO Yitong,WANG Huifang,HE Benteng,et al.Optimization Strategy of Configuration and Operation for User-side Battery Energy Storage[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20190507001.

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历史
  • 收稿日期:2019-05-07
  • 最后修改日期:2019-10-29
  • 录用日期:2019-08-12
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