No abstract

No abstract

No abstract

No abstract

No abstract

No abstract

Accurate target localization technology plays a very important role in ensuring mine safety production and higher production efficiency. The localization accuracy of a mine localization system is influenced by many factors. The most significant factor is the non-line of sight (NLOS) propagation error of the localization signal between the access point (AP) and the target node (Tag). In order to improve positioning accuracy, the NLOS error must be suppressed by an optimization algorithm. However, the traditional optimization algorithms are complex and exhibit poor optimization performance. To solve this problem, this paper proposes a new method for mine time of arrival (TOA) localization based on the idea of comprehensive optimization. The proposed method utilizes particle filtering to reduce the TOA data error, and the positioning results are further optimized with fingerprinting based on the Manhattan distance. This proposed method combines the advantages of particle filtering and fingerprinting localization. It reduces algorithm complexity and has better error suppression performance. The experimental results demonstrate that, as compared to the symmetric double-sided two-way ranging (SDS-TWR) method or received signal strength indication (RSSI) based fingerprinting method, the proposed method has a significantly improved localization performance, and the environment adaptability is enhanced.

This paper studies the volt/var control strategy for smart distribution system by formulating and solving system optimization problems. In the study, solid state transformers (SST) are used for continuous var compensation, while voltage regulators (VR) are for voltage regulation. The objectives are to minimize total system power loss while maintaining voltages along the feeder within acceptable limits. A two step optimization volt/var control method for multiple, discrete/continuous mixed regulating device is introduced in this paper. Simulation results demonstrate that the proposed technique is able to achieve the objective efficiently.Index Terms--Volt/var control, Newton method, Lagrangian function, steepest decent, Brute Force.