REDUCING POWER AND VOLTAGE LOSSES IN ELECTRIC NETWORKS OF OIL FIELDS USING THE MOTH FLAME OPTIMIZATION ALGORITHM
Saukhimov A.A. Ceylan O. Baimakhanov O.D. Shokolakova S.K.
2021National Academy of Sciences of the Republic of Kazakhstan
News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences
2021#5Issue 449103 - 112 pp.
Modern methods of optimizing power flow distribution modes to reduce the technological consumption of electricity for its transmission are widely used for central and remote areas of electrical networks. One of the most effective ways is the integration of distributed generation. Several measures have been taken in Kazakhstan to stimulate the introduction of renewable energy, one of which is solar energy. The use of photovoltaic (PV) panels in the oil field as a distributed generation will allow regulating the voltage, which will reduce power and voltage losses in distribution networks of10/0.4 kV. At the same time, low-power capacitor banks can be used as an additional means for optimizing the modes. However, one of the most difficult tasks in electrical distribution networks is the selection of connection points for PV panels and capacitors (Cap) to effectively reduce power and voltage losses, based on the limitations of the number and volume of power of distributed generation sources (PV panels and capacitors). To solve this problem, the most effective method is based on the Moth-flame optimization algorithm. This article discusses the results of modeling the optimization of the flow distribution in the IEEE 69 test circuit using the heuristic Moth-Flame Optimization algorithm to find the optimal power ratio of distributed generation sources (PV panels and capacitors)in electric networks of oil fields. The application of the new heuristic optimization algorithm MFO allows, in conditions of constraints, to find the optimal connection points for sources of active and reactive power to minimize power losses and voltage deviations in load nodes, which increases the efficiency of operation of distribution electrical networks.
Distribution electric networks in oil field , Heuristic optimization algorithms , MFO algorithm , Power losses , Power supply of oil fields
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Non-profit JSC “Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev”, Almaty, Kazakhstan
Marmara University, İstanbul, Turkey
Kazakh National Agrarian University, Almaty, Kazakhstan
Non-profit JSC “Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev”
Marmara University
Kazakh National Agrarian University
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