| 引用本文: | 陈艳波,姚远,杨晓楠,郎燕生.面向电-热综合能源系统的双线性抗差状态估计方法[J].电力自动化设备,2019,39(8): |
| CHEN Yanbo,YAO Yuan,YANG Xiaonan,LANG Yansheng.Bilinear robust state estimation method for integrated electricity-heat energy systems[J].Electric Power Automation Equipment,2019,39(8): |
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| 摘要: |
| 提出一种面向电-热综合能源系统(IEHS)的双线性抗差状态估计方法。首先，通过引入辅助变量构建IEHS的线性加权最小绝对值(WLAV)模型，然后通过一次非线性变换与求解一个二次规划模型得到状态变量的估计值。所提方法的优势为：对强相关的多不良数据具有较好的辨识能力；不需要进行非线性迭代，因而具有较高的计算效率。在搭建的IEHS测试系统上验证了所提方法的有效性。 |
| 关键词: 热电联供 量测方程线性化 状态估计 强相关性不良数据 综合能源系统 |
| DOI：10.16081/j.epae.201908031 |
| 分类号:TM73 |
| 基金项目:国家电网公司科技项目(52110418002R) |
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| Bilinear robust state estimation method for integrated electricity-heat energy systems |
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CHEN Yanbo1,2, YAO Yuan1, YANG Xiaonan2, LANG Yansheng2
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1.School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China;2.State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute Co.,Ltd.,Beijing 100192, China
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| Abstract: |
| A bilinear robust state estimation method for the IEHS(Integrated Electricity-Heat System) is proposed. Firstly, a linear WLAV(Weighted Least Absolute Value) model for IEHS is constructed by introducing auxiliary variables, and then the estimated value of the state variables is obtained by a nonlinear transformation and a quadratic programming model solving. The proposed method has better recognition ability for strongly correlated multiple bad data, and it doesn’t need to perform nonlinear iteration, so it has high computational efficiency. Finally, the effectiveness of the proposed method is verified on the established test system for IEHS. |
| Key words: CHP linearization of measurement equation state estimation strong correlation bad data integrated energy system |
