Document Type : Research Paper
Authors
1 PhD student, Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran
2 Tarbiat modaresAssistant Professor faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran
3 Assistant Professor faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran
4 Professor faculty of Industrial and Systems Engineering, Tarbiat Modares University
Abstract
The deregulation in power market is lead to competition among market participant to increase efficiency. In electricity market generation is the best candidate for iterance in competition to improve productivity and efficiency in resource allocation and offer lowest price by highest quality will be yielded. In the pool-based electricity market, every Genco submits a bidding price in ten step offer to the Independent System Operator (ISO) for every hour of the next day. One of the most important parameters affecting the profitability of Genco’s and their bidding pattern is the cost of energy generation. Therefore, in this paper, taking into account the costs of fuel consumption, depreciation, maintenance, operation and utilization and other costs as factors affecting the production cost. In this article artificial intelligence algorithms applied to calculate the energy generation cost function at different levels of production (base load, partial load, and full load), broken down by fuel type. According to the results, the average cost per kilowatt-hour of energy with gas fuel is 398 Rials and diesel fuel is 500 Rials
Keywords
)