Iranian Energy Economics

Estimated Cost Function of Energy Generation in Ardebil Combied Cycle Power Plant by Artificial Intelligence Algorithms

Document Type : Research Paper

Authors

Omid Motamedi sede 1
Bakhtiar Ostadi 2
ali hussein zadeh kashan 3
mohamad reza amin naseri 4

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

https://doi.org/10.22054/jiee.2018.9139
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

Power Generation Cost
Meta Heuristic Algorithms
Artificial Intelligence
Genetic Algorithm
Particle Swarm Algorithm
Iranian Energy Economics
Volume 7, Issue 27 - Serial Number 3
Summer 2018
Pages 135-175

  • Receive Date 08 May 2018
  • Accept Date 11 September 2018
  • First Publish Date 11 September 2018
  • Publish Date 22 June 2018

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