Metaphor-less Rao-3 and artificial neural network with parallel computing-based wheeling pricing in competitive power market

• DOI: 10.1080/23311916.2024.2340321
• Publication Date: 2024-05-03T13:16:07Z
• Authors: Abhishek Saxena; Seema N. Pandey; Shishir Dixit
• Keywords: Wheeling; Power market

Fast and accurate wheeling pricing has emerged as an important issue in the recent competitive power market. Embedded cost-based is well accepted by market, because it based on actual flow of wheeled them. It also recovers fully fixed cost facility installation operation. In this article, metaphor-less Rao-3-based ACOPF, MVA-mile method Bialek tracing been employed to compute prices across various generators loads. market due continuously varying load conditions, computation quite a time taking process. Because for computing prices, optimal (OPF) program be run each every loading condition. scenario, artificial neural network (ANN) approach found very useful, estimate instantly accurately any unseen scenario. Here, number ANNs have developed under parallel environment. This article presents project developing new radial basis function (RBFNN). The present work demonstrated examined IEEE 30-bus system.