|dc.description.abstract||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 place-
ment 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
To preserve as many substation measurements as possible and maintain the net-work 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. This dissertation also presents a new way to verify circuit breaker status and
identify topological errors. The new method improves topological error detection
using the method of DUSM. It can be seen that without modifying the state estimator,
the status of a circuit breaker may still be verified even without direct power flow
measurements. Inferred measurements, calculated by DUSM, are used to help decide
the CB status.
To reduce future software code maintenance and to provide standard data ex-
changes, the newly developed functions were developed in Java, with XML format
input/output support. The effectiveness and applicability of these functions are ver-ified by various test cases.||