Developing the algorithm for the smart control system of distributed power generation of water drainage complexes at iron ore underground mines

Sinchuk, I.O.; Mykhailenko, Oleksii; Kupin, Andrey; Ilchenko, Oleksandr; Budnikov, Kyrylo; Baranovskyi, Vladyslav

doi:10.1109/ess57819.2022.9969263

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…The developed fuzzy algorithm can be applied to controlling a peak pumped-storage power plant of main water drainage facilities of underground mines [27,28].…”

Section: Literature Reviewmentioning

confidence: 99%

Power consumption control of multi-pump systems of the main water drainage in underground mines based on the Mamdani fuzzy inference system

Mykhailenko,

Baranovskyi,

Shchokin

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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The article considers synthesis of an expert system for controlling electric power consumption by pumps of main water drainage facilities of an underground mine on the basis of the Mamdani fuzzy inference algorithm. The proposed system has a MISO-structure (multiple-input, single-output) with two input variables, such as water inflow and power cost as well as one output coordinate – power of pumping units. Two bases of fuzzy rules such as conjunction (AND) and disjunction (OR) are formed. By simulation modelling, a comparative analysis of fuzzy control systems for power consumption by water drainage facilities is carried out, as well as a system without control, when the pump performance is stabilized, during week and month periods. It is established that OR-rule based systems can reduce power costs by 1.89% during a week and by 2.28% during a month, and AND-rule based systems by 4.13%, as well as by 5.43% during week and month, respectively. At the same time, we note that the economic effect is achieved not through a decrease in power consumption, but by adjusting the operation mode of the water drainage facility, which involves ensuring maximum efficiency of groundwater drainage when the power cost is high, and minimum efficiency when it is low.

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“…The developed fuzzy algorithm can be applied to controlling a peak pumped-storage power plant of main water drainage facilities of underground mines [27,28].…”

Section: Literature Reviewmentioning

confidence: 99%

Power consumption control of multi-pump systems of the main water drainage in underground mines based on the Mamdani fuzzy inference system

Mykhailenko,

Baranovskyi,

Shchokin

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Pumped-Storage Hydroelectic Power Plants as Sources of Distributed Power Generation as Part of Industrial Power Systems

Mykhailenko,

Sinchuk,

Budnikov

2023

Praci Inst. elektrodin. Nac. akad. nauk Ukr.

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The article examines the economic aspects of the efficiency of power systems for mine loads, which include peak pumped-storage hydroelectric power plants that use reservoirs of the mine underground water drainage. The compari-son of power supply options was carried out according to the net present value (NPV) criterion, which was determined by changing the water inflow through the hydro turbine and power consumption. As a result of numerical experiments, it has been established that the greatest economic effect can be achieved by implementing a pumped-storage hydroelec-tric power plant consisting of four hydroturbines, two of which will be used during the half-peak price hours, and at other times, when the peak price is used, all facilities will be used to. Ref. 10, fig. 3, table. Key words: pumped-storage hydroelectric power plant, distributed power generation, mine drainage, net present value, efficiency.

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Developing the algorithm for the smart control system of distributed power generation of water drainage complexes at iron ore underground mines

Cited by 2 publications

References 14 publications

Power consumption control of multi-pump systems of the main water drainage in underground mines based on the Mamdani fuzzy inference system

Power consumption control of multi-pump systems of the main water drainage in underground mines based on the Mamdani fuzzy inference system

Pumped-Storage Hydroelectic Power Plants as Sources of Distributed Power Generation as Part of Industrial Power Systems

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