Stochastic parallel algorithm based evaluation of Available Transfer Capability

Abstract

In practical power markets, Available Transfer Capability (ATC) is crucial for transmission customers, system operators and power marketers to make a good choice. It is an indication of the expected transfer capability remaining on the transmission network. In order to assure the secure, economic, stable and reliable operation of power systems, the assessment of ATC should be carried out instantly. Most of the existing ATC calculation are mainly focused on AC power systems and based on deterministic techniques. As high performance computing has been extensively used in scientific computation and technology, less work has been done on evaluation of ATC by using parallel algorithm. This paper is dealing with the evaluation of ATC by stochastic parallel algorithm in an AC power system. Due to the stochastic nature of power system behaviors, it is important to assess ATC from a statistical and risk analysis point of view. Considering the dynamics, time-varying and uncertainties of power systems, several statistical indices is presented to evaluate ATC. They are calculated based on Monte Carlo simulation and parallel computing. The system operation states can be simulated by Monte Carlo method, and the parallel algorithm based on MATPOWER (A MATLAB™ Power System Simulation Package) is developed. Case study with an IEEE 30-bus power system is used to verify the presented approach. Five-number summary and other statistical indices of ATC are calculated. The results show that the proposed method can elapse shorter computation time and it is more effective and practical. Some new attractive issues are suggested at the end.