Advance Evaluation of System Protection Control Strategy Based on Multi-scheme Concurrency

According to rapid assessment requirement of system protection control strategy adaptability in future operation mode, combining with application status of distributed computing for power system security and stability analysis, based on design idea of asynchronism and concurrency, this paper proposes a multi-scheme concurrent computing framework suitable for coarse-grained case parallelism. By the way of multi-data section parallel, the asynchronous and concurrent scheduling management of computing task of multiple application functions under different sections is realized, which effectively improves the utilization rate of computing resources and significantly reduces the computing period of advance evaluation of system protection control strategy adaptability. The technology has been applied in provincial power grid and its effectiveness has been verified.

Advances in Concurrent Computing for Digital Stochastic Measurement Simulation

This paper introduces a concurrent computing technique for the acceleration of digital stochastic measurement simulations. The digital stochastic measurement presents an advanced methodology based on the specific parallel hardware structure, utilized for an orthogonal transformation calculus/decomposition. Methodology is analyzed in detail, starting from the very basic idea, toward recent references, covering main research directions and trends. An oversampling nature of the evaluated digital stochastic measurement, along with demanding arithmetic requirements, implies exhausting simulation complexity. As a test case, several typical power grid signals were harmonically analyzed through a discrete Fourier transformation based on the proposed methodology. A harmonic decomposition was simulated with several levels of computing concurrency. Through all the simulated scenarios main success criterion was model accuracy, while the parameter used for selection of the optimal simulation computing technique was the overall calculus speed. Final results exposed thread pool computing technique as an optimal simulation platform.