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基于新能源出力保证率轨迹灵敏度分析的储能配置方法
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1.广东电网有限责任公司电网规划研究中心,广东省广州市 510080;2.广东电网有限责任公司,广东省广州市 510620

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中国南方电网有限责任公司科技项目(030000QQ00180025)


Energy Storage Configuration Method Based on Trajectory Sensitivity Analysis of Output Guaranteed Rate for New Energy
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Affiliation:

1.Grid Planning &2.Research Center of Guangdong Power Grid Co., Ltd., Guangzhou 510080, China;3.Guangdong Power Grid Co., Ltd., Guangzhou 510620, China

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    摘要:

    大规模新能源接入电网使得电源出力的不确定性超过了负荷需求的不确定性,电力系统概率潮流加大了运行部门的管理难度。针对这一问题,提出了一种基于新能源出力保证率轨迹灵敏度分析的储能配置方法。首先根据新能源出力的不确定性,建立了受考核元件的概率潮流越限方程。其次,以新能源出力保证率作为参数改变量,建立概率潮流的轨迹灵敏度分析模型。然后,提出了使得概率潮流不发生越限储能容量配置策略,针对轨迹灵敏度较小的元件相关节点,计算储能功率需求和储能能量需求。最后,在中国南方某地区实际电力系统进行了算例仿真,验证了所提方法的有效性。

    Abstract:

    The integration of large-scale new energy to the power grid makes the uncertainty caused by power supply higher than the uncertainty of load demand. The probabilistic power flow of power system makes the management of operation department even more difficult. To solve this problem, this paper proposes an energy storage configuration method based on trajectory sensitivity analysis based on guaranteed rate of new energy output. Firstly, an over-limit equation of probabilistic power flow for tested components is set up according to the uncertainty of new energy output. Secondly, an analysis model of trajectory sensitivity for probabilistic power flow is built by setting the guaranteed rate of new energy output as a parameter. Thirdly, a configuration strategy of energy storage is proposed to make the probabilistic power flow not exceed limit. In the meanwhile, power and energy requirements of energy storage are calculated for component-related nodes which have low trajectory sensitivities. Finally, the proposed method is simulated and verified on a practical power system in a area of South China.

    表 1 不同保证率下潮流越限元件统计Table 1 Statistics of over-limit components with different guaranteed rates
    表 4 Table 4
    表 2 Table 2
    图1 基于概率潮流轨迹灵敏度的储能配置流程Fig.1 Configuration procedure of energy storage based on trajectory sensitivity of probabilistic power flow
    图2 南方某地区电网地理接线示意图Fig.2 Schematic diagram of geographical connection for power grid in a area in South China
    图3 支路C9-B1不同保证率下的潮流曲线Fig.3 Power flow curves of branch C9-B1 with different guaranteed rates
    图4 保证率α=94%时的轨迹灵敏度曲线Fig.4 Trajectory sensitivity curves when guaranteed rate α=94%
    图5 不同保证率下轨迹灵敏度平均值Fig.5 Average values of trajectory sensitivities with different guaranteed rates
    图6 不同保证率下储能充放电功率Fig.6 Charging and discharging power of energy storage with different guaranteed rates
    图 风电场W2不同保证率下的冬季出力曲线Fig. Winter-output curves for wind farm W2 with different guaranteed rates
    图 光伏电站S3不同保证率下的冬季出力曲线Fig. Winter-output curves for solar power station S3 with different guarantee rates
    图 算例冬季典型日负荷特性曲线Fig. Typical daily load characteristics curves of winter used in example
    表 5 Table 5
    表 3 Table 3
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引用本文

程鑫,许亮,周姝灿,等.基于新能源出力保证率轨迹灵敏度分析的储能配置方法[J/OL].电力系统自动化,http://doi.org/10.7500/AEPS20190717008.
CHENG Xin,XU Liang,ZHOU Shucan,et al.Energy Storage Configuration Method Based on Trajectory Sensitivity Analysis of Output Guaranteed Rate for New Energy[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20190717008.

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  • 收稿日期:2019-07-17
  • 最后修改日期:2020-02-10
  • 录用日期:2019-10-08
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