Nonlinear Mathematical Model of Optimal Solar Photovoltaic Station Design

Bilenko, Maryna; Buratynskyi, I.M.; Leshchenko, I.Ch.; Nechaieva, T.P.; Shulzhenko, S.V.

doi:10.1007/978-3-030-69189-9_3

Cited by 3 publications

(5 citation statements)

References 12 publications

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Section: Theorymentioning

confidence: 99%

“…Nonlinear mathematical model of optimization of the PV station equipment structure [5] provides the choice of optimal AC power of inverter equipment with fixed DC power of PV modules to achieve the minimal cost of electricity generation during their lifetime depending on the intensity of solar radiation. The performed model calculations [5] showed the difference in the structure of PV station equipment for sunny and cloudy days at different levels of solar radiation. It means that the optimal structure of the PV station equipment is formed according to its geographical location, which is an important factor for the selection of equipment before the stage of participation in the auction for the allocation of quotas for installed capacity.…”

Section: Theorymentioning

confidence: 99%

“…The electrical energy output from the PV station to the power system is deter-mined according to the intensity of solar radiation entering the PV-modules, taking into account the power limit of inverters [5]:…”

Section: Theorymentioning

confidence: 99%

“…The power supply of electricity from the PV station to the power system during time t is determined taking into account the limitation of inverter power depending on the level of solar radiation [5]…”

Section: Theorymentioning

confidence: 99%

“…The specific levelized daily capital investment costs for PV station equipment and BESS are determined as follows [5]:…”

Section: Theorymentioning

confidence: 99%

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The Least-Cost Optimization of PV-Station DC/AC Equipment Using Battery Energy Storage System

Buratynskyi

Nechaieva

2022

Latvian Journal of Physics and Technical Sciences

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The auction allocation of state support quotas for renewable generation implementation that will change the existing incentive for their development by providing “green” tariffs to producers is based on competitive selection of the power plant projects with the least cost of electricity generation. The competitive advantage of solar photovoltaic power plant (PV stations) projects can be done by deciding what kind of equipment can provide the minimum cost of electricity generation during the period of operation. In the article, there is improvement of non-linear mathematical least-cost optimization model of the structure of PV-station equipment using DC coupled battery energy storage system (BESS) to store the excess electricity of photovoltaic modules (PV modules), which is lost on inverters when they are overloaded during the hours of the highest intensity of solar radiation. The article presents the modelling results of overall operation of PV station with fixed power of PV modules, as well as determines optimal power of inverter equipment and battery capacity. The model calculations have shown that when the DC equipment costs of the PV station are reduced by almost 62 % and DC equipment costs of BESS are reduced by 86.7 % of the actual value in 2020 at the power of 10 MW PV modules, the optimal power of inverter equipment decreases from 7.08 to 6.29 MW, and the storage capacity increases from 0.22 to 2.51 MWh. The use of BESS allows accumulating the amount of electricity produced by PV modules, which is lost with limitation on inverters, while the cost of their joint electricity production is decreased by 0.42 %.

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Section: Theorymentioning

confidence: 99%

Section: Theorymentioning

confidence: 99%

Section: Theorymentioning

confidence: 99%

Section: Theorymentioning

confidence: 99%

“…The specific levelized daily capital investment costs for PV station equipment and BESS are determined as follows [5]:…”

Section: Theorymentioning

confidence: 99%

See 3 more Smart Citations

The Least-Cost Optimization of PV-Station DC/AC Equipment Using Battery Energy Storage System

Buratynskyi

Nechaieva

2022

Latvian Journal of Physics and Technical Sciences

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The Optimization of PV-plant's DC/AC Equipment Ratio Using the Non-linear Least-cost Model

Buratynskyi

Nechaieva

Shulzhenko

et al. 2021

2021 IEEE 3rd Ukraine Conference on Electrical and Computer Engineering (UKRCON)

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Electricity and heat supply technologies for increasing the energy independence of certain territorial communities

Stanytsina,

Nechaieva,

Trokhaniak

et al. 2023

Sist. dosl. energ. (Online)

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Russian attacks on Ukraine's energy system, which led to the blackout of entire cities and the termination of district heating, highlighted the risks and disadvantages of relying on large-scale district energy supply for communities. In this context, it is important to consider the development of the energy supply of communities in the direction of their energy independence. The purpose of the article is to form a list of electricity generation and heat supply technologies for increasing the energy independence of individual territorial communities, which are appropriate for implementation in Ukraine. The article considers the criteria for the analysis and selection of technologies for distributed power generation and heat supply. An analytical overview of the following power generation and heat supply technologies is presented: solar and wind power plants, gas piston and gas turbine plants, generators, batteries, co- and trigeneration plants, biofuel power plants and heat-generating boilers, heat pumps and electric boilers, and their grouping is performed according to the established criteria. All the considered technologies contribute to reducing the external supply of communities with energy resources and reducing losses during the transmission and distribution of electricity. Technologies that use renewable energy sources and local fuels are appropriate for implementation in communities in accordance with the availability of sufficient amounts of resources. Still, in most cases, they are not able to fully provide communities with electrical and thermal energy due to their insufficient quantity and high cost of equipment, such as batteries and heat pumps. Decisions regarding the implementation of a specific technology of distributed generation should be made after a thorough analysis of the conditions and possibilities of the energy supply of each individual community. This article is aimed at discussing the options of increasing energy independence and ensuring the reliability of the energy supply of territorial communities in Ukraine. Keywords: distributed generation, power generation, heat supply, renewable energy sources, cogeneration, biofuels, heat pumps.

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Nonlinear Mathematical Model of Optimal Solar Photovoltaic Station Design

Cited by 3 publications

References 12 publications

The Least-Cost Optimization of PV-Station DC/AC Equipment Using Battery Energy Storage System

The Least-Cost Optimization of PV-Station DC/AC Equipment Using Battery Energy Storage System

The Optimization of PV-plant's DC/AC Equipment Ratio Using the Non-linear Least-cost Model

Electricity and heat supply technologies for increasing the energy independence of certain territorial communities

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