Centralized Power Research Articles

Cross-Border Cooperation Against the Odds?

What impact did changes in the geopolitical environment have on grassroots cross-border cooperation within the Barents Euro-Arctic Region in the years before Russia’s full-scale invasion of Ukraine in 2022? Drawing on interviews, surveys and document studies from two evaluations made in 2007 and 2020 of the Norwegian Barents Secretariat’s grant programme, conducted by the authors of the present article, we analyse the development over time of cross-border cooperation in Russia’s northwestern and Norway’s northernmost regions. The context in which the programme was conducted in 2020 differed significantly from that in 2007. The period was one of increasingly strained relations between Russia and the West. In particular, the 2014 events in Ukraine resulted in a new geopolitical environment that posed a challenge to the ideals of cross-border trust and people-to-people cooperation. Moreover, internal political developments in Russia led to more centralized power structures and control, also regarding civil society. Although we had expected these developments to have had a negative impact on the programme’s goal achievement, we find that the programme was closer to achieving several of its objectives in 2020 than in 2007. Competence transfer went both ways, both sides benefitted more equally and despite the geopolitical complications, the number of groups involved on both sides of the border did not decrease. The article identifies the main challenges between partners, and how they were overcome.

Interconnected Smart Transactive Microgrids—A Survey on Trading, Energy Management Systems, and Optimisation Approaches

The deployment of isolated microgrids has witnessed exponential growth globally, especially in the light of prevailing challenges faced by many larger power grids. However, these isolated microgrids remain separate entities, thus limiting their potential to significantly impact and improve the stability, efficiency, and reliability of the broader electrical power system. Thus, to address this gap, the concept of interconnected smart transactive microgrids (ISTMGs) has arisen, facilitating the interconnection of these isolated microgrids, each with its unique attributes aimed at enhancing the performance of the broader power grid system. Furthermore, ISTMGs are expected to create more robust and resilient energy networks that enable innovative and efficient mechanisms for energy trading and sharing between individual microgrids and the centralized power grid. This paradigm shift has sparked a surge in research aimed at developing effective ISTMG networks and mechanisms. Thus, in this paper, we present a review of the current state-of-the-art in ISTMGs with a focus on energy trading, energy management systems (EMS), and optimization techniques for effective energy management in ISTMGs. We discuss various types of trading, architectures, platforms, and stakeholders involved in ISTMGs. We proceed to elucidate the suitable applications of EMS within such ISTMG frameworks, emphasizing its utility in various domains. This includes an examination of optimization tools and methodologies for deploying EMS in ISTMGs. Subsequently, we conduct an analysis of current techniques and their constraints, and delineate prospects for future research to advance the establishment and utilization of ISTMGs.

Research on Microgrid Optimal Dispatching Based on a Multi-Strategy Optimization of Slime Mould Algorithm.

In order to cope with the problems of energy shortage and environmental pollution, carbon emissions need to be reduced and so the structure of the power grid is constantly being optimized. Traditional centralized power networks are not as capable of controlling and distributing non-renewable energy as distributed power grids. Therefore, the optimal dispatch of microgrids faces increasing challenges. This paper proposes a multi-strategy fusion slime mould algorithm (MFSMA) to tackle the microgrid optimal dispatching problem. Traditional swarm intelligence algorithms suffer from slow convergence, low efficiency, and the risk of falling into local optima. The MFSMA employs reverse learning to enlarge the search space and avoid local optima to overcome these challenges. Furthermore, adaptive parameters ensure a thorough search during the algorithm iterations. The focus is on exploring the solution space in the early stages of the algorithm, while convergence is accelerated during the later stages to ensure efficiency and accuracy. The salp swarm algorithm's search mode is also incorporated to expedite convergence. MFSMA and other algorithms are compared on the benchmark functions, and the test showed that the effect of MFSMA is better. Simulation results demonstrate the superior performance of the MFSMA for function optimization, particularly in solving the 24 h microgrid optimal scheduling problem. This problem considers multiple energy sources such as wind turbines, photovoltaics, and energy storage. A microgrid model based on the MFSMA is established in this paper. Simulation of the proposed algorithm reveals its ability to enhance energy utilization efficiency, reduce total network costs, and minimize environmental pollution. The contributions of this paper are as follows: (1) A comprehensive microgrid dispatch model is proposed. (2) Environmental costs, operation and maintenance costs are taken into consideration. (3) Two modes of grid-tied operation and island operation are considered. (4) This paper uses a multi-strategy optimized slime mould algorithm to optimize scheduling, and the algorithm has excellent results.

DEVELOPMENT OF AN ELECTROCHEMICAL ENERGY STORAGE SYSTEM FOR OPERATION IN INDUSTRIAL ELECTRICAL NETWORKS

Abstract. The article substantiates the expediency of developing an energy storage system for modern industrial electrical networks, which involves the use of electrochemical storage systems. The advantages of such a storage system are the possibility of their production by manufacturers located in Ukraine, which will also provide competition to global manufacturers of storage products, provide levers for the development of the domestic economy, and reduce the cost of introducing such energy storage systems into electrical networks. The article presents the results of the development of an electrochemical energy storage device for power supply to consumers of industrial electrical networks, which are used for enterprises and are carried out using central step-down substations and several workshop transformer substations. The analysis of the requirements for power supply to consumers of an industrial enterprise allowed to formulate the main technical characteristics of the energy storage system to ensure reliable operation of the enterprise in case of disruption of the centralised power supply. The type and main components of the storage system are substantiated, the main parameters of the energy storage system are calculated, and its dimensions are determined. An analysis of the functioning of the studied electrical network of an industrial enterprise in typical steady-state operation modes using the developed electrochemical energy storage system is carried out. It is proved that the application of the developed electric energy storage system will increase the reliability of power supply to consumers, ensuring the supply of electric energy for the technological process of the enterprise during the work shift, which is a very important measure in the conditions of power supply disruption under martial law and emergency situations. It is also promising to use the proposed electric energy storage system in combination with distributed generation sources, which are quite common for the industrial electrical networks under investigation.

Neoauthoritarianism as a Challenge to Global Security

The purpose of the study is to determine the features of neoauthoritarianism as a political regime, its tools, and consequences for global security. It is reasoned that neoauthoritarianism is an undemocratic system of methods and means of exercising centralized state power, which is characterized by the formalisation of democratic principles, institutions and procedures, and the use of digitalization to realize the goals of the regime. The features and tools of neoauthoritarianism are systematized, and the probable consequences of neoauthoritarianism on a global scale are assessed. The following features of neoauthoritarian regimes are determined: reduction of the role of ideology; integration into the global capitalist economy; imitation of a democratic facade; covert forms of pressure and control, manipulation, propaganda; providing a legal basis for any undemocratic initiatives; using the advantages of democratization, globalization, digitalization to achieve the regime’s destructive goals, etc. The following tools of neoauthoritarian influence are determined: power tools, tools of influence within the scope of “soft power,” tools of subversion, tools for changing values, electoral tools, tools of pressure on international organizations, etc. It is proven that due to neoauthoritarian intervention, the risks to global security are increased. The main consequence of ascending neoauthoritarianism on a global scale is the fact that neoauthoritarian regimes have endangered democracy as the dominant global model, reshaping the global security architecture.

Power allocation scheme for grid interactive microgrid with hybrid energy storage system using model predictive control

Grid-interactive microgrids have become a promising alternative to traditional centralized power systems as a result of the rising demand for reliable and sustainable energy solutions. DC microgrids (MG) based upon renewable energy sources (RES) are on the rise due to high energy efficiency and compact size than the AC microgrids. Microgrid equipped with hybrid energy storage system is sensible for a reliable and stable power supply to the system. Implementation of a potent control system makes sure of the system stability. A model predictive control (MPC) based control strategy is proposed due to its easy implementation approach and inclusion nonlinear dynamics & constraints of the controlled system. An efficient power allocation scheme is developed in this paper for a grid-interactive photovoltaic microgrid featuring a hybrid energy storage system (HESS). The system-level power allocation scheme (PAS) considers the real-time data of load demands, generation, market energy cost, and energy storage state-of-charge to actively manage the power flow within the microgrid and also with the utility grid. The proposed control scheme uses a sophisticated model predictive current control for the DC/DC bi-directional converters control and model predictive combined power and voltage control is used for bidirectional interlink converter. The proposed control approach provides faster DC bus voltage recovery. The HESS consisting of battery and supercapacitor is used as energy buffers for responding to the fluctuation of power generation and demand for smoothing the PV power. The potency of the proposed controller is verified using MATLAB/Simulink (2021b) environment. Also, the real-time implementation of the proposed approach is carried out using the OPAL-RT OP4510 simulator.

Micro Phasor Measurement Units: a Review from the Prosumer Point of View

In recent years, power grid infrastructure has moved from a centralized power generation model to a paradigm in which generation capacity is distributed across an increasing number of small power plants that rely on renewable energy sources. Systems for emerging distribution systems need a very new protection paradigm, architecture and philosophy making use of new protection devices and sensors such as digital relays, phasor measurement units (PMUs), smart reclosers and line sensors. This article examines the application of PMUs in smart distribution grids and from the point of view of prosumers.

Definitions for Distributed Generation : A revision

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A multi-step analysis and co-produced principles to support equitable partnership with Liverpool School of Tropical Medicine, 125 years on.

Transboundary health partnerships are shaped by global inequities. Perspectives from the "global South" are critical to understand and redress power asymmetries in research partnerships yet are not often included in current guidelines. We undertook research with partners working with the Liverpool School of Tropical Medicine (LSTM) to inform LSTM's equitable partnership strategy and co-develop principles for equitable partnerships as an entry point towards broader transformative action on research partnerships. We applied mixed-methods and participatory approaches. An online survey (n = 21) was conducted with LSTM's transboundary partners on fairness of opportunity, fair process, and fair sharing of benefits, triangulated with key informant interviews (n = 12). Qualitative narratives were analysed using the thematic framework approach. Findings were presented in a participatory workshop (n = 11) with partners to co-develop principles, which were refined and checked with stakeholders. Early inclusion emerged as fundamental to equitable partnerships, reflected in principle one: all partners to input into research design, agenda-setting and outputs to reflect priorities. Transparency is highlighted in principle two to guide all stages including agenda-setting, budgeting, data ownership and authorship. Principle three underscores the importance of contextually embedded knowledge for relevant and impactful research. Multi-directional capacity strengthening across all cadres is highlighted in principle four. Principle five includes LSTM leveraging their position for strategic and deliberate promotion of transboundary partners in international forums. A multi-centric model of partnership with no centralised power is promoted in principle six. Finally, principle seven emphasises commitment to the principles and Global Code of Conduct values: Fairness, Respect, Care, Honesty. The co-developed principles are part of ongoing reflections and dialogue to improve and undo harmful power structures that perpetuate coloniality within global health. While this process was conducted with LSTM-Liverpool's existing partners, the principles to strengthen equity are applicable to other institutions engaged in transboundary research partnerships and relevant for funders.

ПЕРСПЕКТИВЫ ПРИМЕНЕНИЯ ВАРОЧНОГО КОТЛА С ЭНЕРГОНЕЗАВИСИМЫМ ГАЗОГОРЕЛОЧНЫМ УСТРОЙСТВОМ

Intensive gasification of the village makes it possible to use natural gas on a large scale for the heat treatment of animal feed. The paper proposes a gas-using power supply system for a digester for cooking feed and food in peasant farms, which allows it to operate during the failures of centralized power supply due to accidents in electrical grids or planned outages for their repair. (Research purpose) The research purpose is increasing the efficiency of natural gas use, reducing energy consumption by improving the energy supply system of the gas-using digester. (Materials and methods) Automation of the process of ignition of the gas burner, control of the flame, draft in the chimney, ensuring safe operation of the digester with analysis and modern automation tools used in domestic gas-using heating boilers was performed. The design and technological scheme of the power supply system of the gas burner device with automatic power control was presented. Studies were carried out and showed the dynamics of gas consumption and the temperature of the product in the cooking digester during different modes of operation. (Results and discussion) The operating mode of the digester was substantiated, in which the saving of natural gas amounted to 11.4 percent due to the use of an automated system for its energy supply. (Conclusions) It was shown that the power supply system of the gas-using digester is independent from electrical grid, which makes it possible to operate the boiler during failures of centralized power supply. It was found that the use of smooth automatic regulation of gas consumption in the digester during the preparation of feed and food allows saving it up to 11.4 percent. It was determined that the boiler efficiency for the full cycle of product preparation in automatic mode is 0.87, in manual mode - 0.83.

SIMULATION MODELING OF MULTI-PORT DC-DC CONVERTER IN MPPT SOLAR BATTERY CONTROLLERS UNDER NEURAL NETWORK CONTROL

Photovoltaic generation system - energy system, designed to convert useful solar energy through photovoltaic systems. It can consist of several components, including a solar array, DC/DC and DC/AC semiconductor converter, battery, filter or transformer, control system (CS). Depending on the application, photovoltaic systems can be operated as part of a self-contained power plant or operate on a network. Thus, it is possible to distinguish several basic configurations of photovoltaic generation systems. The standalone generation system is the most common configuration of photovoltaic generation systems, which contains rechargeable batteries (AB). This system is completely independent of the centralized power supply networks and is suitable for comfortable energy supply to consumers. The use of AB makes it possible to increase the reliability of the photovoltaic system and to extend the possibilities of using e.g. battery power is used during insufficient light or when the load exceeds the generation of solar cells. The scope of such configurations are lighting systems of residential and non-residential objects, power supply of houses and buildings, security systems and emergency power supply, power supply of remote residential and non-residential objects, Power supply to spacecraft, etc. Autonomous generation systems typically contain two transducers. The DC/DC converter acts as a battery charge controller. The control system for such a transducer may include the function of tracking the maximum power point for the maximum use of solar energy. The excess energy will be stored in AB. The DC/AC converter converts the DC current energy into the AC energy of the required frequency and voltage. The advantage of such a system is the possibility of using solar energy, both during the day and at night, due to the power of AB and the possibility of using the system at remote sites where there is no grid power supply. The disadvantage of such a system is the loss of double conversion of solar energy and the high cost of batteries. Artificial Neural Network (ANN) provides an alternative way to solve complex problems. A neural network, with the right structure, can compute the values of any continuous function with some predetermined accuracy. The neural network requires no knowledge of the internal parameters of the solar module, learns quickly, has the ability to optimize and approximate. Therefore, the use of INS to track the maximum power point is relevant and of practical and scientific importance. Keywords: multi-port DC converter, artificial neural network (ANN), rechargeable batteries (AB), pulse width modulation (PWM), solar panels (SP), MOSFET power keys

A review on the microgrid sizing and performance optimization by metaheuristic algorithms for energy management strategies

A growing concern over climate change and the depletion of conventional energy resources have led to the urgent need for sustainable and resilient energy solutions. The optimization of the size of renewable sources is crucial to maximizing their effectiveness. In contrast to conventional single-objective optimization, the multi-objective technique aims to achieve a trade-off between energy cost and power supply reliability. Due to this need, microgrids (MG) have emerged as a promising paradigm, allowing for localized and decentralized energy generation and distribution. Consequently, the conventional techniques for modelling and optimizing exhibit numerous limitations as the power grid continues to produce substantial volumes of high-dimensional and diverse data types. This review paper examines the use of metaheuristic algorithms in the context of multi-objective energy optimization for hybrid renewable energy-integrated microgrids. A comparative analysis of diverse metaheuristic algorithms for microgrid optimization is provided in this paper, which emulates natural phenomena, such as evolutionary processes and swarm dynamics. Based on the findings of case studies, it can be concluded that trade-offs exist between various objectives, eventually leading to the development of both resilient and efficient microgrid designs. By reviewing sustainable energy solutions, and advocating microgrids as viable alternatives to conventional centralized power systems, the review enhances the advancement of sustainable energy solutions.

THE SIMULATION MODEL OF AN AUTONOMOUS ENERGY SUPPLY SYSTEM FOR HIGHWAY INFRASTRUCTURE OBJECTS

The presence of a centralized power supply with the appropriate infrastructure and an extensive distribution network with significant technological losses not only causes increased risks, but also calls into question the quality and reliability of the energy supply of remote objects. The use of small power plants based on renewable energy sources can solve the problem of power supply of transport infrastructure objects (public transport stops, pedestrian crossings, traffic control elements, etc.). However, the expediency of using one or another energy source requires simulation modeling of the parameters of these power supply systems. The purpose of this study is to develop a simulation model of the autonomous energy supply system of road infrastructure objects and to check its functioning in real conditions. The article describes the structural simulation model and presents the characteristics of its components. The order of functioning of the constituent elements and the peculiarities of their interaction are given. Experimental modeling of the dependences of the output power of the photovoltaic module on the voltage maintained at its output was carried out, and the obtained results were summarized. The developed model makes it possible to implement the mode of maintaining maximum performance thanks to the introduction of feedback to control the value of the input voltage of the converter, which is compared with the calculated (set) value of the voltage, calculated from the data of the actual load current and short-circuit current of the photovoltaic module for different values of light flux. The result of the comparison, with the appropriate sign, is sent to the proportional-integral regulator, the output control effect of which is the regulation of the output voltage of the converter and, related to it, the charging current of the battery, which, therefore, leads to a change in the input current and ensures the maintenance of the set voltage at solar cell outputs. Under this condition, its output current is directly proportional to the amount of solar radiation. It is also established that the selection of the minimum required capacity of the photovoltaic panel must be carried out taking into account the most unfavorable scenario regarding weather conditions and the season of the year in order to ensure the maximum charge of the battery.

An investigation into the practical application of the physical principle to ensure the safety of hydraulic structures during the construction of Novokarachayevskaya small hydropower plants on the Kuban River

Many countries around the world have embraced small hydropower as a stable component of their energy sector. Small HPPs in Russia generate approximately 2.2 billion kWh/year, and experts estimate their technical potential to be around 382 billion kWh/year. Small hydropower is an excellent alternative to centralized power supply for remote and hard-to-reach areas and areas with limited transmission capacity of power lines. The construction of small hydropower plants will also allow efficient use of river water resources for water supply, fishery, transportation, etc. This paper examines the construction of a small hydropower plant that will provide electricity to the communities near the hydropower plant. The purpose of the study is to investigate the option of applying the physical principle of fish protection using diverting re-forming fish protection structures to prevent fish from entering the system of structures of the Novokarachayevsk small hydroelectric power plant.

Optimal Configuration and Planning of Distributed Energy Systems Considering Renewable Energy Resources

With increasing electricity demand, conventional centralized power generation systems encounter numerous challenges, including transmission and distribution losses, limited capacity, and high operational costs. In response, distributed energy systems have emerged as a promising solution by enabling electricity generation in close proximity to consumption points. These systems leverage renewable energy sources and minimize energy losses during transmission, presenting a more sustainable and efficient alternative. By utilizing diverse energy sources such as solar thermal panels, photovoltaic systems, geothermal energy, distributed energy systems enhance overall efficiency, and reduce power losses during transmission as well as greenhouse gas emissions. This research endeavor presents a novel approach employing mixed-integer linear programming to optimize distributed energy systems. The proposed model facilitates the determination of optimal dimensions of technologies, including combined heat and power systems, boilers, electric chillers, and absorption chillers, while simultaneously minimizing total costs and greenhouse gas emissions and adhering to real-world constraints. The findings of this study are validated through a real-world numerical example, confirming the model’s efficiency in configuring and planning distributed energy systems optimally, thereby enhancing their operational performance.

Methods of optimization energy consumption in residential and public buildings with the availability of alternative sources of energy supply

The article is devoted to the analysis of the potential for increasing the efficiency of electricity consumption in residential and administrative buildings in the presence of various energy sources and storage systems. This task is relevant in view of the spread of renewable energy sources both in centralized power supply systems and at local facilities and the significant impact of unstable generation on the cost of electricity in the market. In particular, the main consumers of electricity, which can be used as "consumers-regulators", as well as storage systems available for use in buildings, are considered. Taking into account that a significant amount of electricity is used or can be used in building air-conditioning systems, as well as for the needs of hot water supply, the construction of mathematical models of such systems for existing buildings will allow the creation of effective electrical load management systems to optimize energy costs for traditional buildings and ensure autonomy for buildings with close to zero energy consumption. The article describes the priority tasks to be solved to build an energy management system to minimize energy costs and increase the efficiency of the country's energy system and local energy systems of communities. The formulation of the tasks follows from the analysis of information on the actual consumption schedules of residential and public buildings and the analysis of their mutual correlation, which allows using these findings to develop algorithms for monitoring energy consumption and load management on the consumer side. Further stages of the study include additional measurements of actual energy consumption at the facilities with a discreteness of several seconds to an hour, while simultaneously recording potential influencing factors, which will allow creating a digital model of building energy consumption. A preliminary analysis of the research shows that the most promising mathematical apparatus for building such a model is the use of neural networks.

Issues Of Introduction Of Mobile Power Plants Based On Renewable Energy Sources And A Multifunctional Electric Tractor

For the effective development of the agricultural sector, solving the problems of timely and sufficient power supply is relevant. Due to the absence or inefficiency of the wiring of centralized power supply systems in remote areas, fertile lands are gradually going out of circulation. Based on the study of the experience of developed countries in solving the above problems, the corresponding conclusions were made on the transfer of mobile agricultural machinery to electric drive, the development and production of mobile mini-electric tractors for processing and harvesting in local conditions, mobile power stations based on renewable energy sources for remote territories.
 
 In the agricultural sector, electric energy is mainly consumed for irrigation and electric drive of various equipment and installations. For example, for the introduction of drip irrigation and electric tractors in remote areas from centralized power supply lines in Uzbekistan, the mobile method of power supply is considered effective. The developed prototype of the Solar-Wind mobile power plant can generate an average of 4.5-4.7 kWh in the daytime, and 0.8-1.0 kWh of electric energy in the evening hours. The annual production of electric energy is more than 20,000 kWh of electric energy. Taking into account the return of fertile lands into circulation, and the cost of the resulting crop, the payback of the station does not exceed 4-5 years.

Study of an autonomous solar power plant for a motorhome

Problem. An RV combines two essential features desired by modern travelers: the ability to relax in unconventional locations while still being able to work remotely if your job requires remote access. However, if you're accustomed to the conveniences that rely on electrical power, you'll find yourself searching for places to connect to the centralized power grid. Alternatively, you'll need to seek solutions to this issue. One of the most intriguing and effective solutions is the installation of a low-power solar power station on the RV, based on photovoltaic modules. This solution enables you to park and enjoy any location you prefer while benefiting from all the available technologies powered by electricity. Goal. This study aims to investigate the installation of an autonomous solar power station on an RV and determine its electrical power generation capacity. Methodology. Analytical research methods were employed to explore the development and application of solar energy conversion methods and devices to generate electricity. Experimental research methods and mathematical techniques for processing experimental data were also utilized. Results. The RV type suitable for installing an autonomous solar power station has been identified, specifically the Roller Team Sirio 599. An investigation of its equipment in terms of electricity consumption has been conducted. Furthermore, a self-sustaining solar station has been proposed for the selected RV, and the electricity generation schedule of this station has been studied. The electricity consumption by RV appliances has been thoroughly examined. Originality. This study explored the volt-ampere characteristics of photovoltaic modules and their power generation dependency on the load. The investigated photovoltaic modules demonstrate maximum operational efficiency in the active load range from 3 ohms to 3.5 ohms. Practical Value. The research findings indicate that starting from March, the solar power station on the RV is fully capable of meeting its electricity consumption needs. In the winter months, particularly in November, in Ukraine's climate conditions, this solar power station may only cover a portion of electricity consumption needs. Considering that electrical devices are often used for heating the RV, this solar power station should not be relied upon as the primary source of electrical power.

Roadmap for Renewable Energy Development

The article examines the priorities and prospects of the road map for the development of renewable energy using the example of Turkmenistan. The main scientific conditions of the goal, objectives, principles of public policy, a heterogeneous class of renewable technologies, the main scientific conditions of the road map for sustainable development, the environmental aspect of climate change, mitigation potential, and costs are presented. The compiled roadmap for the use of renewable energy sources outlines the expected energy, economic, and environmental effects from the use of renewable energy technologies in remote areas from the centralized power line. The author believes that the outlined development roadmap for the use of renewable energy sources will become the basis for drawing up programs in other countries, depending on natural, climatic, and geographical conditions. Thus, the road map for the development of renewable energy sources, the use of local renewable energy resources, can reduce the need for fossil fuels in some cases by up to 80% and will significantly reduce the anthropogenic load on the environment. The introduction of renewable energy sources is one of the most relevant and promising for the development of the desert and the fight against desertification in the Karakum.

РАЗРАБОТКА АВТОНОМНОГО ИСТОЧНИКА ЭЛЕКТРОПИТАНИЯ С ПРИМЕНЕНИЕМ ВИХРЕВОГО ЭФФЕКТА РАНКА-ХИЛША

The relevance of the research is to develop an autonomous power source based on a closed organic Rankine cycle with the simultaneous use of the Ranque-Hilsch vortex effect, which can be used for the efficient generation of electrical energy at mining, transportation, preparation and processing facilities various gases, including at industrial sites located in hard-to-reach areas, significantly removed from the centralized power supply, as well as in areas with harsh climatic conditions. The article discusses the main positive characteristics and disadvantages of existing autonomous power plants used in this industry, as well as the design and operating principle of the developed autonomous power supply, the use of which will significantly reduce environmental pollution due to the lack of use of combustion products in the technological cycle, thereby increasing the environmental friendliness of the process of generating electrical energy, minimizing the economic costs of fuel and maintenance, as well as increasing the fire and explosion safety of the mentioned objects, a design option for an autonomous power supply, including a thermoelectric generator module, has also been considered.