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1.电力电子节能与传动控制河北省重点实验室(燕山大学),河北省秦皇岛市 066004
2.国网冀北电力有限公司检修分公司,北京市 102488
曲正伟(1979—),男,通信作者,博士,教授,主要研究方向:智能电网态势感知。E-mail:ysu_qzw@163.com
张嘉曦(1996—),女,硕士研究生,主要研究方向:配电网状态估计。E-mail:786546839@qq.com
王云静(1977—),女,博士,副教授,主要研究方向:新能源电力系统经济调度。E-mail:ysuwyj@163.com
收稿日期:2021-03-02,
修回日期:2021-07-26,
网络出版日期:2021-08-30,
纸质出版日期:2021-12-10
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曲正伟,张嘉曦,王云静等.考虑分布式电源不确定性的配电网改进仿射状态估计[J].电力系统自动化,2021,45(23):104-112.
QU Zhengwei,ZHANG Jiaxi,WANG Yunjing,et al.Improved Affine State Estimation for Distribution Network Considering Uncertainty of Distributed Generator[J].Automation of Electric Power Systems,2021,45(23):104-112.
曲正伟,张嘉曦,王云静等.考虑分布式电源不确定性的配电网改进仿射状态估计[J].电力系统自动化,2021,45(23):104-112. DOI: 10.7500/AEPS20210302011.
QU Zhengwei,ZHANG Jiaxi,WANG Yunjing,et al.Improved Affine State Estimation for Distribution Network Considering Uncertainty of Distributed Generator[J].Automation of Electric Power Systems,2021,45(23):104-112. DOI: 10.7500/AEPS20210302011.
以较低电压等级连接到电网的分布式电源的数量不断增加,其出力的间歇性和随机性给配电网准确的态势感知带来挑战。首先,利用测量不确定度传播理论建立含微型同步相量测量单元生成伪测点的模型,提高了基于支路电流状态估计的精度。然后,考虑分布式电源不确定性并进行仿射建模,结合配电网运行特征,提出一种适用于仿射运算的量测变换策略,减少新增噪声元并降低了运算复杂性。采用改进的仿射运算方法对建立的仿射状态估计模型进行有效求解,保证了解的完备性并降低了保守性。最后,通过算例的仿真分析验证了所提算法的有效性。
As the number of distributed generators connected to the grid at lower voltage levels increases
the intermittent and stochastic nature of distributed generator output bring challenges to the accurate situational awareness in the distribution network. First
the theory of measurement uncertainty propagation is used to establish a model containing pseudo-measurement points generated by a micro synchrophasor measurement unit (μPMU)
which improves the accuracy of branch current based state estimation. Then
considering the uncertainty of distributed power supply and carrying out affine modeling
a measurement transformation strategy suitable for affine arithmetic is proposed combining the operation characteristics of distribution networks. The strategy reduces new noise elements and computational complexity. The improved affine arithmetic algorithm is used to solve the established affine state estimation model effectively to ensure the completeness of the solution and reduce the conservativeness. Finally
the effectiveness of the proposed algorithm is verified by the simulation analysis of the algorithm.
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