文件名称：Power system harmonic state estimation via sparsity maximization
文件大小：414KB
文件格式：PDF
更新时间：2016-12-31 08:49:03
Power System, state estimation
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 to 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