Key Cutting Algorithm Application to Measurement Placement for Power System State Estimation

Methods of measurement placement design for power system state estimation

Data redundancy is crucial for the success of state estimation (SE): for achievement of good and reliable estimates, for efficient processing bad data. The paper presents the review of the methods for measurement placement design assuring adequate data redundancy levels for state estimation. For each of the considered methods, the made assumptions, utilized approach, principles and features are...

Optimal Measurement Placement with Single Measurement Loss Contingency for Power System State Estimation Using Refined Genetic Algorithm

This paper proposes a refined genetic algorithm (RGA) for solving optimal measurement placement with single measurement pair loss contingency for power system state estimation. Even though the global minimum measurement pair number is , their proper positions are required to make the system observable. The observability is checked by the topological analysis method and triangular factorization ...

Optimal Measurement Placement for Static Harmonic State Estimation in the Power Systems based on Genetic Algorithm

In this paper, a method for optimal measurement placement in the problem of static harmonic state estimation in power systems is proposed. At first, for achieving to a suitable method by considering the precision factor of the estimation, a procedure based on Genetic Algorithm (GA) for optimal placement is suggested. Optimal placement by regarding the precision factor has an evident solution, a...

Optimal Placement of Phasor Measurement Units for Improving Power System State Estimation Accuracy: A Heuristic Approach

This paper describes a heuristic approach for optimal placement of phasor measurement units (PMUs) in power system for improving state estimation accuracy. PMUs are able to measure highly accurate bus voltage phasors as well as branch current phasors incident to the buses at which PMUs are installed. Due to cost consideration of PMU placement, power grid utilities are interested in the knowledg...

Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation