| 引用本文: | 王昕,田猛,赵艳峰,等.一种基于状态估计的新型窃电方法及对策研究[J].电力系统保护与控制,2016,44(23):141-146. |
| WANG Xin,TIAN Meng,ZHAO Yanfeng,et al.A new kind of electricity theft based on state estimation and countermeasure[J].Power System Protection and Control,2016,44(23):141-146 |
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| 一种基于状态估计的新型窃电方法及对策研究 |
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王昕1,2,田 猛3,赵艳峰1,2,赵 旭1,2,魏 龄1,2,蒋婷婷1,2,王先培3
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(1.南方电网电能计量重点实验室，云南 昆明 650217;2.云南电网有限责任公司电力科学研究院，
云南 昆明650217;3.武汉大学电子信息学院，湖北 武汉 430072)
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| 摘要: |
| 随着科学技术的不断发展，窃电手段逐渐趋向于智能化，也更加的隐蔽。研究了一种基于状态估计的新型窃电方法-虚假数据注入。首先，在传统的虚假数据注入模型基础之上，得到了标准的L0范数优化模型，消除了变量系数对虚假数据注入向量精度的影响。然后，基于脆弱性指标提出设置PMU的方法提高窃电成本和难度。最后在IEEE标准测试系统上对提出的标准的L0范数优化模型和保护策略进行了测试。结果表明提出的标准L0范数优化模型可以得到更精确的虚假数据注入向量，基于脆弱性指标设置PMU可以有效提高非法用户的窃电成本。 |
| 关键词: 窃电 虚假数据注入 L0范数优化模型 保护策略 PMU |
| DOI：10.7667/PSPC152000 |
| 分类号: |
| 基金项目:云南电网公司重点项目(YN2014-2-001) |
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| A new kind of electricity theft based on state estimation and countermeasure |
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WANG Xin1,2,TIAN Meng3,ZHAO Yanfeng1,2,ZHAO Xu1,2,WEI Ling1,2,JIANG Tingting1,2,WANG Xianpei3
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(1. Key Laboratory of CSG for Electric Power Measurement, Kunming 650217, China;2. Yunnan Electric Power
Research Institute, Kunming 650217, China;3. School of Electronic Information,
Wuhan University, Wuhan 430072, China)
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| Abstract: |
| With the development of science and technology, electricity theft tends to be more intelligent and covert. A new kind of electricity theft based on the state estimation, namely false data injection, is analyzed. First, a standardL0-norm optimization model is proposed based on the classic false data injection model. The effects of variable factors on the solution accuracy are eliminated with this standard model. Furthermore, in order to increase the cost and difficulty of the electricity theft, the placement of PMUs based on the vulnerability index is proposed. Finally, the standard L0-norm optimization model and the countermeasure are tested on the IEEE Power Flow Test Cases. The results show that the proposed standard L0-norm optimization model can obtain more accurate false data injection vector, and setting the PMUs based on the vulnerability index can increase the electricity theft cost of illegal users effectively. |
| Key words: electricity theft false data injection L0-norm optimization model countermeasure PMU |
