Intelligent Subset Selection of Power Generators for Economic Dispatch

Autor:	Bhattacharya, Biswarup, Sinha, Abhishek
Rok vydání:	2017
Předmět:	Computer Science - Computational Engineering Finance and Science Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	Sustainable and economical generation of electrical power is an essential and mandatory component of infrastructure in today's world. Optimal generation (generator subset selection) of power requires a careful evaluation of various factors like type of source, generation, transmission & storage capacities, congestion among others which makes this a difficult task. We created a grid to simulate various conditions including stimuli like generator supply, weather and load demand using Siemens PSS/E software and this data is trained using deep learning methods and subsequently tested. The results are highly encouraging. As per our knowledge, this is the first paper to propose a working and scalable deep learning model for this problem. Comment: 6 pages, 6 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1709.02513 Zobrazit plný text záznamu View this record from Arxiv