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Документ Automated power supply control system for a food industry enterprise using a photovoltaic plant and energy storage(2022) Baliuta, Serhii; Zinkevych, PetroIntroduction. Studies were carried out on the power supply control process of a food industry enterprise using a photoelectric plant and electric energy storage to ensure the efficiency of transmission and use of electrical energy. Materials and methods. The studies were carried out using the methods of modern theory of automatic control and system analysis of control processes. Results and discussion. The main stages of the power supply control process using a photovoltaic plant and an energy storage system are defined: basic control functions – registration of electric energy consumption, forecasting of electric energy generation using a photovoltaic plant, forecasting of electric energy consumption, determination of parameters of the electric energy storage system, analysis power supply system modes; conditions for providing control functions – information on solar radiation; data on electric energy generation using photovoltaic plant, data on electric energy consumption, limitations and tariffs for electric energy, requirements for the accuracy of forecasting electricity consumption and generation of electric energy using photovoltaic plant, data on energy storage system (current charge, maximum and minimum permissible charges), decision-making on optimization of power supply; organizational and technical mechanisms for the implementation of management functions – information and computing complex, energy dispatcher, chief energy engineer; the database of the electrical supply control system, which is used to prepare decisions; basic information flows that ensure the management of electricity supply – forecast values of meteorological data, current data on electric energy consumption, management actions on the regulation of photovoltaic plant and energy storage system, current data on power supply mode parameters; current data on power supply configuration; control actions on optimization of power supply regimes, management actions on the management of electricity quality indicators; control actions for changing the configuration of the power supply. The functional scheme of power supply control using photovoltaic plant and energy storage system is presented and the requirements for individual units are formulated. The synthesis of the food industry enterprise power supply control system is carried out using the method of ensuring compatibility through sequential integration. In order to ensure energy-efficient power supply of food industry enterprise and optimal use of photovoltaic plant and energy storage system, optimization of modes is carried out using dynamic programming methods. Conclusion. The development of control systems for power supply of food industry enterprise using photovoltaic plant and energy storage system based on system analysis and compatibility with the use of mode optimization using dynamic programming methods ensures high efficiency of power supply and rational modes of use of photovoltaic plant and energy storage system.Документ Comparative computational analysis of the selection of battery energy storage for civil objects and parking with photovoltaic plants(2022) Zinkevych, Petro; Baliuta, Serhii; Kuievda, YuliaEnergy production from PPS has a number of advantages and disadvantages. One of the disadvantages is that PPS does not produce electricity at night, so they cannot support the load of consumers. To solve the problem of stability of electricity supply at night battery energy storage (BES) are used [1]. BES in combination with a solar power plant is called a battery energy storage system (BESS). This system absorbs and releases energy in different periods. There is no doubt that the additional investment and operating costs of BESS will affect the cost-effectiveness of the PPS.Документ Forecasting the electricity generation of photovoltaic plants(2021) Kuievda, Yulia; Baliuta, Serhii; Zinkevych, Petro; Stoliarov, OleksandrIt was calculated the table of dependence of RMSE, MAE and NMAE errors on the number of input membership functions and their forms for training, test and the whole sample. The number of input membership functions varied from 2 to 30, and the type of membership functions was chosen from the set (MATLAB notation): gbellmf, gaussmf, gauss2mf, trimf, trapmf, dsigmf, psigmf, pimf. To determine the optimal number and form of membership functions, the NMAE error of the test sample was used, which was calculated to be in the range from 3.92% to 4.15%. A minimum was achieved on 5 triangular trimf membership functions. The model was tested for sensitivity to the error of the input data using the chosen optimal number and the form of membership functions. A generated random sequence was added to the input data, which added an NMAE error of 1.81% to 8.19% to the input data. The NMAE error of the initial data in the test sample varied from 4.19% to 5.78%, i.e. the model studies showed a sufficiently low level of variation in the output values relative to the error of the input data.Документ Heroes of the energy front(2023) Kukharyk, Roman; Zinkevych, PetroIntroduction. Distribution networks (Oblenergo), trunk networks (Ukrenergo) and generation facilities (CHP, TPP, HPP) were the main target of artillery and missile attacks by the Russian Federation. As a result of shelling in the system, 50% of the country's electrical networks were damaged. Results and discussion. The northern, southern, eastern and western regions suffered the greatest damage. During the war, the following electrical distribution networks (oblenergo) were damaged as a result of artillery shelling: 1. Dtek Kyiv Regional Power Grids; 2. DTEK Donetsk power grids; 3. "Kharkivoblenergo" JSC; 4. "Khersonoblenergo" JSC; 5. JSC "Mykolaivoblenergo"; 6. PJSC "Zaporizhjiaoblenergo"; 7. JSC "Chernihivoblenergo"; 8. Sumioblenergo JSC. Damage to main electrical networks (UKRENERGO): The northern, southern, eastern and western regions suffered the greatest damage. About 30 substations of various voltages were damaged.Документ The active consumer at the centre of the energy system(2020) Zinkevych, Petro; Okopna, YanaIntroducing. In terms of the transformation of electric power industry all over the world, the consumer of the energy market is forced to become an “active consumer” (AC) who has the technical capabilities to optimize his energy consumption by either “producing” or “purchasing” electricity in the market. Materials and methods. To start with the concept of the AC in the energy system is based on the energy consumption management mechanisms, which are divided into long-term and short-term actions (Scenario Forecast for the Development of the Electric Power Sector for the Period up to 2030). The Demand-side management (DSM), as an example of a static response mechanism, is currently a developed area. The program of action is aimed at stimulating energy-efficient consumption. The dynamic response mechanism is characterized by the consumers’ reaction and includes planned or contracted actions, which contribute to the stability of the energy system and its balancing or are required in case of network failures. The main problem is consumer retention, as well as ensuring their motivation and ability to participate in the program. Results. As a result of the electrical energy market develops on the basis of protecting all participants’ interests, which is feasible provided that energy companies interact with AC by offering them load rate tariffs for electricity, capacity utilization and grid connection.