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面向用户侧的电池储能配置与运行优化策略
作者:
作者单位:

1.浙江大学电气工程学院, 浙江省 杭州市 310027;2.浙江华云信息科技有限公司, 浙江省 杭州市 310051

作者简介:

赵乙潼(1995—),女,硕士研究生,主要研究方向:储能优化、增量配电网。E-mail: 21710022@zju.edu.cn

通讯作者:

王慧芳(1974—),女,通信作者,博士,副教授,主要研究方向:继电保护与控制、电网状态检修、电力数据挖掘。E-mail: huifangwang@zju.edu.cn

基金项目:


Optimization Strategy of Configuration and Operation for User-side Battery Energy Storage
Author:
Affiliation:

1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.Zhejiang Huayun Information Technology Co., Ltd., Hangzhou 310051, China

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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 users’ power consumption, a rolling optimization method of configuration and operation scheduling for user-side battery energy storage is proposed. Firstly, the benefit of users after installing energy storage and the constraints of energy storage operation are analyzed. Then the configuration optimization model of energy storage, the optimization model of energy storage before month and the rolling optimization model for intra-day operation are constructed and solved by CPLEX solver. Performance constraints of energy storage 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 of daily operation for energy storage and a renewal model of 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, an industrial user is simulated to verify the validity of the proposed optimization model.

    表 1 储能配置优化结果Table 1 Optimization results of energy storage configuration
    图1 用户侧储能优化策略Fig.1 Optimization strategy of user-side energy storage
    图2 有无性能约束储能日内运行结果对比Fig.2 Comparison of daily operation results for energy storage with or without performance constraints
    图3 2种模型储能日运行优化结果Fig.3 Daily operation optimization results of two models for energy storage
    图4 储能日前运行优化结果Fig.4 Day-ahead operation optimation results for energy storage
    图5 储能日内运行滚动优化结果Fig.5 Rolling optimization results of intra-day operation for energy storage
    图 储能运行调度滚动优化算法流程Fig. Rolling optimization algorithm for energy storage operation scheduling
    图 峰谷电价时间分布Fig. Time distribution of peak and valley electricity price
    图 不同储能配置下收益变化Fig. Revenue change under different energy storage allocations
    表 2 Table 2
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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].电力系统自动化,2020,44(6):121-128. DOI:10.7500/AEPS20190507001.
ZHAO Yitong,WANG Huifang,HE Benteng,et al.Optimization Strategy of Configuration and Operation for User-side Battery Energy Storage[J].Automation of Electric Power Systems,2020,44(6):121-128. DOI:10.7500/AEPS20190507001.

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历史
  • 收稿日期:2019-05-07
  • 最后修改日期:2019-08-09
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  • 在线发布日期: 2020-03-21
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