Planning the Production Power of Thermal, Wind and Solar Units Using the Sine Cosine Algorithm

Document Type : Power Article

Authors

1 PhD Student, Department of Electrical Engineering, Islamic Azad University, Saveh branch, Saveh, Iran

2 Assistant Professor, Department of Electrical Engineering, Islamic Azad University, Saveh branch, Saveh,

Abstract

Dynamic production power planning to meet hourly load demand is one of the important issues in production management and operation of power systems. In this article, the problem of optimal load dispatch considering transmission network losses, considerations and practical limitations of thermal power plants such as increasing and decreasing ramp rates, prohibited production areas, steam valve effect with the combination of renewable resources including wind farms and solar units has been raised.
Renewable energy sources have reduced environmental pollution due to the non-use of fossil fuels, but these sources have uncertainty and random nature in production. On the other hand, wind and solar sources are considered to be part of fast start-up sources and thermal sources are considered to be part of slow start-up thermal sources. Considering the mentioned cases together complicates the problem of optimal load distribution, in this article, a new method based on the sine-cosine algorithm is used to determine the contribution of different production sources in the load supply.
To solve this problem, which has non-convex cost functions, a new method based on the sine-cosine algorithm has been used. In order to evaluation the effectiveness of the proposed method, simulation results and numerical studies on a sample system including 6 thermal units, 5 wind units and 13 solar units have been implemented and compared with other metaheuristic algorithms. The results of numerical studies show the superiority of the proposed method over other methods while having the appropriate speed and accuracy.
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Main Subjects

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Journal of Modeling in Engineering
Volume 22, Issue 76
May 2024
Pages 257-271

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History

  • Receive Date: 16 February 2023
  • Revise Date: 01 May 2023
  • Accept Date: 03 September 2023

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