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Item type:Наукова стаття, Optimisation of energy solutions: Alternative energy, reactive power compensation, and energy efficiency management(2023-11-22) Bandura, Andrii; Romaniuk, Mykola; Komenda, Nataliya; Hadai, Andrii; Volynets, VladyslavThe relevance of the problem under study is determined by the need to create a sustainable, efficient and environmentally safe energy complex. The growth of the world population, industrial development, and overall energy demand endanger the provision of society’s energy needs, making the need for research urgent at the present time. The purpose of the study is to examine optimal energy optimisation strategies, including alternative energy, compensation of reactive power, and energy efficiency management, to ensure the stable and efficient functioning of the energy complex. Among the methods used, analytical, classification, functional, statistical, and synthesis methods were applied. In investigating the optimisation of energy solutions, a thorough analysis of various aspects of alternative energy, reactive power compensation, and energy efficiency management was conducted. This analysis encompassed various aspects and parameters related to these areas, including technical, economic, and environmental indicators. As a result of the study, it was established that alternative energy has significant potential for ensuring sustainable development of the energy system. It can serve as a reliable source of energy that does not harm the environment and is not dependent on limited resources. In addition, reactive power compensation was recognised as an effective way to avoid energy losses in the system. This strategy helps to ensure more efficient energy use and reduce losses during transmission and distribution. Energy efficiency management also proved to be a key aspect in achieving energy supply sustainability. This allows optimising resource utilisation, reducing energy costs, and mitigating the negative impact on the environment. The practical value of the study lies in the development of innovative recommendations and strategies for energy optimisation, which will contribute to the creation of a stable, efficient, and environmentally safe energy complex and enhance its compliance with current and future challenges, making a considerable contribution to the development of science and the energy sector.Item type:Наукова стаття, Modelling the optimal switching scheme of the Ukrainian power grid during blackout (Volyn region)(2024-05-29) Hrytsiuk, Iryna; Volynets, Vladyslav; Komenda, Nataliya; Hrytsiuk, Iryna; Hadai, AndriiThe relevance of the study, in particular, in the Volyn region, is due to the need to ensure the reliability and efficiency of the energy infrastructure in the face of growing challenges associated with the war between Russia and Ukraine, technological development and ensuring the country’s energy security. The purpose of the study is to develop a model of the optimal switching scheme for the Volyn region’s power grids during blackout to minimize the negative consequences and ensure priority power supply to critical facilities. The methods used include mathematical modelling, simulation, optimization, sensitivity analysis, and others. The study optimized the power grid switching scheme under the risk of war and other crisis situations, including a thorough analysis of various options in the event of a blackout. Taking into account additional aspects of grid safety and reliability, the optimal routes for power transmission, placement of backup power sources were identified and effective algorithms for grid management were developed. By optimizing the grid switching scheme, the damage caused by blackouts can be minimized, and power supply can be restored quickly. The results confirmed that an optimal switching scheme can significantly reduce blackout time and its impact on the economy and the lives of the population. The development of optimal switching schemes for power grids is an important step towards increasing the resilience of Ukraine’s electricity system to crisis situations. The study has highlighted the importance of developing such models to ensure energy security and resilience of the power grid under the threat of blackouts, which affects the practical aspects of power supply management and economic development. The practical significance of the study is to improve strategies for managing the power grid in blackout conditions, contributing to the resilience of energy systems and economic development.Item type:Наукова стаття, Prospects for the integration of distributed energy sources into the Ukrainian power grid(2025-02-27) Hrytsiuk, Iryna; Volynets, Vladyslav; Hrytsiuk, Yurii; Bandura, Irina; Komenda, NataliyaThe integration of distributed energy sources (DES) into the Ukrainian power grid is a critical aspect of modern energy development aimed at increasing the efficiency of the power system, reducing greenhouse gas emissions, and improving the country’s energy security. The purpose of this overview and analysis study was to identify the technical and automation aspects of DES integration, as well as to determine the prospects and challenges associated with their adaptation to centralised grids. The study discussed the principal technical challenges arising from the integration of solar, wind, bioenergy, and other DES into the Ukrainian power grid. Particular attention was paid to the issues of stability and quality of electricity supply, the need to modernise the grid infrastructure, and the use of inverter technologies, energy storage systems (ESS), and hybrid microgrids. The study analysed modern methods of automation and control of distributed generation using Smart Grid, Supervisory Control and Data Acquisition (SCADA), and Distributed Energy Resource Management System (DERMS) technologies, which help to optimise the operation of the power system, increase its reliability and flexibility under variable load conditions. The study considered adaptive control algorithms, mathematical forecasting models, and neural network algorithms that enable prompt adjustment of equipment operating modes, ensuring the stability of the system. It was found that the introduction of inverter systems, SPPs, and hybrid microgrids can re solutions that include the use of renewable energy sources, DERMS, and smart management. The recommendations included infrastructure modernisation, development of hybrid ESSs, and implementation of integrated digital monitoring and control systems. The practical value of this study lies in the development of approaches to the effective integration of DES into local power systems, which can be used in the design and implementation of microgrids in Ukraine.Item type:Наукова стаття, Monitoring of Energy Efficiency of District Heating System Facilities: Methodology for Determining the Energy Baseline(Kishinau: Institute of Power Engineering of the Academy of Sciences of Moldova, 2022) Davydenko, LiudmylaDetermining the energy consumption level is one of the stages of energy efficiency monitor-ing facilities. The aim of the article is to adapt the energy baseline to the operating conditions of the facility in accordance with the ISO 50000 Standards requirements. The methodology for determining the energy baseline was proposed to achieve the goal. The three-stage procedure for forming a set of relevant variables of the energy baseline, which allows taking into account the significance of varia-bles, the possibility of their measurement, controllability and control, and the procedure for construct-ing a multifactorial model of the optimal structure for determining the energy baseline are the main scientific results. This methodology was applied to a boiler house of a district heating system. Rele-vant variables were formed using a three-stage selection of factors that influence the gas consumption efficiency of the boiler house. Combinatorial algorithm of the group method of data handling was used for gas consumption simulation. The search for models of optimal complexity was performed in six classes of basic functions. The selection of better structures of the mathematical model was realized based on the criteria for its appropriateness (regularity, unbiasedness criterion, Schwartz, determina-tion coefficient) and accuracy of the forecast using the morphological criterion. As a result, a multifac-tor mathematical model of optimal structure was obtained. The percent forecasting error did not ex-ceed 1%. The significance of the results lies in the fact that the proposed methodology can be applied to any facility.Item type:Наукова стаття, Short-Term Forecasting of Photovoltaic Solar Power Generation Based on Time Series: Application for Ensure the Efficient Operation of the Integrated Energy System of Ukraine(Kyiv, 2023) Davydenko, LiudmylaOver the last decade, there has been a growing in the dependence of electricity production by solar power plants (SPPs) in Ukraine. Therefore, there is a need to optimize the structure of the energy balance of the state, based on the requirements of energy security and ensure the share of renewable energy at 25%. However, with the development of renewable energy sources (RESs) there is a problem of ensuring the appropriate maneuverability of the power system. This is due to the fact that the structure of generating capacity of the United Power System of Ukraine in terms of effective regulation of frequency and power in the power system is suboptimal. Among the reasons for this, the main ones are unregulated and variable operation of a SPP, which is exacerbated by the lack of tools and approaches for the power generation modes forecasting. That is why the issue of accurate forecasting of the possible electricity generation volume has become acute. However, solar energy forecasting is a rather difficult task, as it largely depends on climatic conditions that change over time. This study presents an analysis and application of the seasonal autoregressive integrated moving average (SARIMA) method to develop a model that can support and provide forecasting the amount of power produced by SPP. Data for the development of the model were obtained from the time series of electricity generation on the example of the SPP in the village of Velyka Dymerka, Kyiv re-gion. The data consisted of more than 26 thousand samples collected from July 1, 2020, to December 31, 2020, which characterize the operating conditions of solar panels with a capacity of 9 MW. This led to the choice of the SARIMA model. The coefficient of determination (R2) for the obtained model was 92%. This indicates the ability of the final model to accurately represent and give forecast based on data set of the SPP power generation.