競争環境下における電力系統の過渡安定度からみた送電可能容量の推定法の提案

抄録

To conduct the electric power transactions effectively and to operate the power system efficiently while maintaining reliability under the deregulated environment, it is required that ATC (Available Transfer Capability) should be calculated at high speed with reasonable precision. In order to address this issue, in this paper, an Artificial Neural Network based estimation method for evaluating Maximum Transmission Capability (MTC), which is a key step but also a highly time consuming process in ATC, is proposed. It is confirmed through simulation studies that the proposed method is capable of estimating MTC (ATC) with high speed and sufficient precision. Furthermore, I examined the reduction of calculation time at learning by using the transient stability index.