Improved measurement placement and topology processing in power system state estimation

Improved Measurement Placement and Topology Processing in Power System State Estimation. (August 2007) Yang Wu, B.S., Xi’an Jiaotong University, China; M.S., Xi’an Jiaotong University, China Chair of Advisory Committee: Dr. Mladen Kezunovic State estimation plays an important role in modern power system energy management systems. The network observability is a pre-requisite for the state estimation solution. Topological error in the network may cause the state estimation results to be seriously biased. This dissertation studies new schemes to improve the conventional state estimation in the above aspects. A new algorithm for cost minimization in the measurement placement design is proposed in this dissertation. The new algorithm reduces the cost of measurement installation and retains the network observability. Two levels of measurement placement designs are obtained: the basic level design guarantees the whole network to be observable using only the voltage magnitude measurement and the branch power flow measurements. The advanced level design keeps the network observable under certain contingencies. To preserve as many substation measurements as possible and maintain the network observability, an advanced network topology processor is introduced. A new method the dynamic utilization of substation measurements (DUSM) is presented. Instead of seeking the installation of new measurements in the system, this method dynamically calculates state estimation measurement values by applying the current law that regulates different measurement values implicitly. Its processing is at the substation level and, therefore, can be implemented independently in substations.

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