Optimizing the Power System Prospective Structure Based on the Particle Swarm Optimization Algorithm

Authors

  • Nikolay A. BELYAEV
  • Nikolay V. KOROVKIN

DOI:

https://doi.org/10.24160/0013-5380-2026-2-40-50

Keywords:

PSO, evolutionary algorithms, optimization, power systems structure, structure of generating capacities, electric power industry development planning, difference equation, convergence

Abstract

The shaping of an optimal (rational) prospective structure is one of the key objectives in long-term planning of the electric power industry development. The decisions made in solving this task determine the required commissioning volumes of generating capacities by power plant types over the long-term horizon, taking into account the anticipated growth in electricity demand and the technical and economic indicators of various electricity generation technologies. Based on the results of optimizing the prospective structure of the Unified Power System (UPS) of Russia, the parameters of the Energy Strategy of Russia (in the electricity sector) and the composition of projects included in the General Scheme for the Placement of Electric Power Industry Facilities are determined. The article presents the optimization problem statement and the problem solution algorithm based on the particle swarm optimization (PSO) algorithm. The selection of PSO parameters used in optimizing the prospective structure of power systems is considered. The PSO algorithm operating principle is described through the use of linear difference equations. Recommendations for selecting PSO parameters have been proposed proceeding from the condition for convergence of the solution to these equations and an analysis of characteristic trajectories in the search for optimal solutions. Test calculations were carried out, which have confirmed the effectiveness of the proposed recommendations.

Author Biographies

Nikolay A. BELYAEV

(JSC «Scientific and Technical Center of Unified Power System», St. Petersburg, Russia) – Head of the Generation and Forecasting of Demand for Electric Energy and Capacity Dept., Cand. Sci. (Eng.).

Nikolay V. KOROVKIN

(Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia) –Professor of the Higher School of High Voltage Energy, Dr. Sci. (Eng.), Professor

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#

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25. Pedersen M.E., Chipperfield A.J. Simplifying Particle Swarm Optimization. – Applied Soft Computing, 2009, DOI: 10.1016/j.asoc.2009.08.029

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Published

2026-02-14

Issue

No. 2 (2026): Issue № 2

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Article