Unit Commitment Planning Under Uncertainty and Fuel Cost Volatility with Economical and Emission Reduction Objective

Subject Areas : Power Engineering

Mahyar Abasi ¹ , Javad Ebrahimi ² , Sajad Bagheri ³ , Moaiad Mohseni ⁴ , Alireza Niknam Kumlah ⁵ , Mahmood Joorabian ⁶

1 - Department of Electrical Engineering, Faculty of Engineering, Arak University, Arak, Iran
2 - Research Institute of Renewable Energy, Arak University, Arak, Iran
3 - Department of Electrical Engineering, Arak Branch, Islamic Azad University, Arak, Iran
4 - Khuzestan Regional Electric Company, Ahvaz, Iran
5 - Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
6 - Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran

Received: 2024-05-22 Accepted : 2024-08-15 Published : 2025-06-20

Keywords: Uncertainty, Electricity market, Unit commitment, Power grid security, Distributed generation,

Abstract :

The mismatch between production and consumption and concern for providing the energy needed in the power grid has always been one of the problems of grid operators. Also, large-scale electricity production has always been a costly and polluting industry. Therefore, engineers and power generation companies have always been looking for a cheap and clean way to generate power so that they can overcome the power imbalance and ensure stability and the allowed level of pollutants in the network. The most common sources used in the power grid to generate power are gas and thermal units, these units enter the circuit faster and, of course, have a higher production cost. When to use thermal units and when to use gas units in the network is a complex issue, which depends on various factors such as peak time, fuel price and gas supply network conditions. None of these things are certain in their true state. Therefore, in this article, the uncertainty of gas sources and the variability of gas prices in the problem of the participation of power plant units in the power system have been modeled and analyzed by GAMS software. Also, the mixed integer non-linear programming solution method has been used to solve the problem. The results show that if there is uncertainty in the gas sources, there is a greater tendency to use other power plants in the network in order to maintain the security and stability of the network.

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