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State estimation is critical to ensure the stability of many non-trivial control systems where full observability cannot be maintained, and is particularly important in electrical power networks relying on wide-area measurement systems. In recent years, the problem of malicious bad data injection has been studied extensively, with a number of innovative mitigation and protection measures being proposed...
The stability of a power network is strongly influenced by the ability of network operators to determine the current state despite not having a full set of simultaneous measurements available as this determines the ability to dispatch generator capacity and to take corrective measures. State estimation for power networks has long been the subject of intensive scrutiny as it must satisfy requirements...
State estimation is a key problem wherever systems can only be observed partially, and is typically a prerequisite for effective control. The most widespread current use of state estimation is in electrical power networks, which combine distribution over wide areas with real-time requirements. A number of state estimators have been proposed, but studies of robustness against attacks has concentrated...
Continuous and accurate state estimation is a key prerequisite for ensuring reliable and efficient operation of power networks. Conventional state estimation relies on a single centralised estimator, which is problematic in a smart grid environment where partitioning and distributed operation is far more likely, and represents a single point of failure. This has recently led to an interest in hierarchical...
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