CONSIDERATION OF THE NETWORK FACTOR IN OPTIMAL PLANNING OF SHORT-TERM OPERATING MODES OF POWER SYSTEMS WITH LOAD MANAGEMENT OF ELECTRICITY CONSUMERS

Authors

  • Gaibov T. Sh. Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan Author
  • Reymov K. M. Karakalpak State University named after Berdakh, Nukus, Uzbekistan Author
  • Umarov B. S. Karakalpak State University named after Berdakh, Nukus, Uzbekistan Author
  • Saduakasov D. S. Yessenov University Аktau, Kazakhstan Author

Keywords:

Energy systems, Optimal planning, Short-term modes, Power consumption management, Network factor, Mathematical modeling, Gradient method, Active power losses, Optimization algorithm, Power balance

Abstract

 This article addresses the issue of optimal planning of short-term energy system operation modes. Managing power consumption and considering the network factor play a crucial role in ensuring the stable and efficient operation of energy systems. The proposed mathematical 
model integrates these two aspects, optimizing system performance. The main objective of this study is to reduce fuel consumption by efficiently distributing power among power plants and load nodes. To achieve this, the gradient method is applied, providing a fast and accurate solution. During planning, independent and dependent variables are separated, ensuring optimal resource allocation. 
Considering the network factor is essential for minimizing electricity losses and improving the overall economic efficiency of the system. If this factor is ignored, excessive energy losses and inefficient power distribution may occur. The proposed algorithm is designed to minimize active 
power losses in the network. The calculation results presented in this article confirm the effectiveness of the proposed algorithm. The findings show that taking the network factor into account reduces fuel consumption by 0.26% compared to the initial method. While this percentage may seem small, it leads to significant cost savings at the scale of energy systems. 

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Published

2025-05-13

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