文件名称:
Power system harmonic state estimation via sparsity maximization
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上传时间: 2013-12-11
详细说明： This paper presents a new system-wide harmonic state estimation method with the capability to identify harmonic sources with fewer meters than state variables. Note there are only a few simultaneous harmonic sources among the suspicious buses. By extending the concept of observability , the underdeter-mined system can be observable when considering the sparsity of harmonic sources. We formulate harmonic state estimation as a constrained sparsity maximization problem. It is solved by linear programming using L1-norm equivalence t o L0-norm. Meter placement is optimized to enhance the robustness of he solution. Our numerical experiments in IEEE 14-bus power systems show the effectiveness of the proposed method ...展开收缩
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