Известия Томского политехнического университета: Инжиниринг георесурсов (Mar 2020)

INCREASE OF PASSAGE CAPACITY OF DISTRIBUTIVE ELECTRIC NETWORKS WITH RENEWABLE ENERGY SOURCES THROUGH THEIR RECONFIGURATION

  • Vasily T. Cheremisin,
  • Evgeny A. Tretyakov

DOI
https://doi.org/10.18799/24131830/2020/3/2554
Journal volume & issue
Vol. 331, no. 3
pp. 112 – 122

Abstract

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The relevance of the study is caused by the need to develop technical solutions to increase the capacity of promising distribution electric networks of railways with renewable energy sources in the pace of changing demand for electricity. The aim of research is to increase the capacity of promising distribution electric networks of railways with renewable energy sources through optimal reconfiguration of electrical circuits. Objects: distribution electric networks, sources of distributed generation of active and reactive power, optimization methods for solving problems in the electric power industry, increasing the capacity of the electric network. Methods. Optimization problem was solved by the branch and bound method, simulation modeling of the electrical network modes was performed in Matlab Simulink. Results. The authors have developed the algorithm for reconfiguring the electrical network to increase its capacity based on solving the problems of optimizing normal modes (static reconfiguration) and minimizing power consumption without calculating steady-state modes in the pace of electricity demand change processes (dynamic reconfiguration). To ensure the admissibility of the modes of distribution electric networks, approaches to managing the supply of active (based on renewable sources) and reactive capacities and the demand of active consumers were proposed. The paper introduces the results of implementation of dynamic reconfiguration for the test circuitry without taking into account the power supply and demand management of active consumers, indicating the validity of the proposed approaches to improving the transmission capacity of the electrical network.

Keywords