Operation Of Wind Power Plants Research Articles

Технико-экономические показатели энергокомплекса при использовании ветроэнергетических установок для покрытия собственных нужд ТЭЦ

In accordance with the Russia Energy Strategy until 2035, within the framework of the implementation of energy-saving technologies in the power-generating sector, it is planned to use hybrid energy, which is one of the ways of transition from conventional generation to generation with a high share of renewable energy sources. However, to implement such complexes, it is necessary to conduct research that considers the natural and climatic characteristics of the region, its resource capabilities, as well as the mutual influence of conventional and renewable energy sources in the structure of generating equipment capacities. The wind potential at the construction site has been analyzed to assess the feasibility of incorporating wind turbines. Based on the technical characteristics of wind turbines and meteorological conditions, the model of wind turbines to be installed has been selected. Technical and economic indicators of the energy complex operation, providing for the use of wind power plants to partially cover the house load of CHPs have been obtained. The indicators are determined on an annual, monthly basis using the physical method of attributing the total fuel costs for heat and electricity output in case of their combined production. Operation of wind power plants as a part of the energy complex with CHP in winter has a positive effect on the process of thermal efficiency of combined heat and power generation, and in summer, on the contrary, leads to deterioration of the efficiency indicators. Relatively small fuel savings per year when using wind power plants as a part of the energy complex with CHP does not allow to consider the project cost-effective. The obtained results should be considered when making system-wide decisions on the development of renewable energy sources in parallel operation with fossil fuel power plants.

Offshore Wind Power: Progress of the Edge Tool, Which Can Promote Sustainable Energy Development

Offshore wind is renewable, clean, and widely distributed. Therefore, the utilization of offshore wind power can potentially satisfy the increasing energy demand and circumvent the dependence on fossil energy. Thus, offshore wind power is an edge tool for achieving sustainable energy development because of its potential in large-scale energy supply and its important role in reducing environmental pollution as well as carbon emission brought by fossil energy. The worldwide development of offshore wind power has entered the era of large-scale research and commercial application. It displays a trend of rapid development, continuous technological breakthroughs, and high-speed market growth. This article systematically introduces the structural components and technical characteristics of offshore wind power. Moreover, the current developmental status of offshore wind power is summarized. By reviewing the current development and application status of offshore wind power technology worldwide, large wind turbines and fixed and floating offshore wind power technologies are analyzed. Additionally, the development of the offshore wind energy market is overviewed. The policy condition and key aspects such as the construction, operation, and maintenance of offshore wind power plants are also summarized. Finally, the prospective challenges and development trends of offshore wind power and its significance in achieving sustainable society development are proposed. We consider that the article can provide reference and inspiration for researchers and developers dedicated to offshore wind power.

Comparative analysis of Weibull parameters estimation for wind power potential assessments

There are many renewable energy sources available, especially wind energy, but it is not being fully utilized. In the wind energy industry, Wind Power Potential (WPP) is essential since it is critical to the development, operation, and optimization of wind power plants. WPP plays a significant role in the wind energy project life cycle, impacting site selection, project viability, technology choices, and ultimate success. This means that specific WPP for certain places need to be determined for development in wind industry.The goal of this study is to conduct a statistical comparison and analysis of the efficacy of various numerical methods, including the method of moments (MoM), the energy pattern factor method (EPFM), the maximum likelihood method (MLM), the energy density method (EDM), the energy pattern factor method of Sathyajith (EPFMS), Rayleigh's distribution (Rayl), and the novel energy pattern factor method (NEPFM). These methods are compared for different sites of Andhra Pradesh India. The NEPFM is considered the most effective approach for assessing the wind energy density in the regions of Visakhapatnam, Amaravati, and Tirupati. Conversely, the MLM (Modified Logarithmic Model) technique has demonstrated superior performance in evaluating the wind energy potential specifically for the Rajamahendravaram site. The Rayleigh distribution, also known as Rayl., was utilized as the primary approach for calculating the probability density of the geographical sites of Visakhapatnam, Rajamahendravaram, and Amaravati. Additionally, the energy pattern factor method was employed to analyze the site of Tirupati. The Rayleigh distribution is found to be the most suitable statistical model for estimating the cumulative density of site locations in Visakhapatnam and Amaravati. Similarly, the innovative energy pattern factor technique is recommended for analyzing the cumulative density of site locations in Rajamahendravaram and Tirupati.

Wind speed prediction for site selection and reliable operation of wind power plants in coastal regions using machine learning algorithm variants

The challenge of predicting wind speeds to facilitate site selection and the consistent operation of wind power plants in coastal regions is a global concern. The output of wind turbines is subject to fluctuations corresponding to changes in wind speed. The unpredictable characteristics of wind patterns introduce vulnerabilities to wind power facilities in wind power plants. To address this unpredictability, an effective strategy involves forecasting wind speeds at specific locations during wind power plant operations. While previous research has explored various machine learning algorithms to tackle these issues, satisfactory results have not been achieved, and Bangladesh faces challenges in this regard, especially in low-wind speed areas. This study aims to identify the most accurate machine learning-based algorithm to forecast the short-term wind speed of two areas (Kutubdia and Cox's Bazar) located on the eastern coast of Bangladesh. Wind speed data for a span of 21.5 years, ranging from January 2001 to June 2022, were sourced from two outlets: the Bangladesh Meteorological Department and the website of NASA. Wind speed has been forecasted using 14 different regression-based machine learning models with a comprehensive overview. The results of the experiment highlight the exceptional predictive performance of a boosting-based ensemble method known as categorical boosting, especially in the context of forecasting wind speed data obtained from NASA. Based on the testing data, the evaluation yields remarkable results, with coefficients of determination measuring 0.8621 and 0.8758 for wind speed in Kutubdia and Cox's Bazar, respectively. The study underscores the critical importance of prioritizing optimal turbine site selection in the context of wind power facilities in Bangladesh. This approach can yield benefits for stakeholders, including engineers and project owners associated with wind projects.

Перспективы Крайнего Северо-Востока России на производство "зеленого" водорода с использованием климатических источников возобновляемой энергии

For the first time, Russia's Far North-East prospects for hydrogen production by the method of water electrolysis, using climatic energy sources and ultra-fresh mountain-river water, are comprehensively assessed. Taking into account the identified regional features, it is calculated that, with the current technical level of development, the amount of hydrogen produced in the region will be controlled just by the amount of used ultra-fresh mountain-river water. Thus, using no more than 10 percent of the general runoff (18 billion m3 water), it is possible to annually obtain 2x109 tons of "green" hydrogen through the operation of wind and solar power plants. To accommodate the latter, it is ecologically feasible to use the areas in mountain tundras and forest-tundras on flattened and flat watersheds.

Analysis of the main approaches, methods of selection and justification of the parameters and modes of wind power plant for integration into the work of the electric power transmission

One of the priority directions for the development of the electric power industry in Ukraine is the development and use of alternative and renewable energy sources, which leads to a reduction in dependence on the import of electricity. A large part of Ukraine's territory is characterized by favorable conditions for generating electricity using modern wind power plants.
 The article discusses the integration of wind power plants without considering other renewable energy sources. Compared to other sources of renewable energy, the operation of wind power plants has a random nature of electricity production, as the generated power can significantly vary during a day. This requires to take into account certain requirements for power systems during the integration and co-operation with wind power plants. Therefore, in the paper, wind power plants are considered separately from other sources of renewable energy, as they have their own peculiarities and can affect the operation of power systems.
 Integration of a significant amount of renewable energy sources, including wind power plants, into power systems requires solving various tasks related to the characteristics and functionality of such plants, as well as the structure of the generating sources of power systems. Among these tasks, it is necessary to ensure the necessary reserve capacity to timely compensate for changes during electricity generation, maintain the reliability of power system operation, and take measures to compensate for possible reduction in the quality of electrical energy. In fact, the processes of changing the power generated by wind power plants occur quite rapidly, especially in case of sudden deterioration of weather conditions, which is a fairly common phenomenon.
 The methods of selection and justification of parameters and operating modes of wind energy installations for integration into electric power systems have been analyzed. Various approaches to the selection of wind energy installations parameters and modes are described in the work, focusing on methods that ensure system reliability or adequacy of generation.
 Methods for selecting and justifying parameters and modes of wind power plants for integration into operation of power systems based on power and energy balance have been formulated. Key indicators that consider electricity demand conformity are defined in the work, along with approaches to balancing energy production and consumption.
 An evaluation of the effectiveness of wind power plants in different integration modes into power systems operation has been performed, taking into account economic aspects. The impact of different modes on the rational use of generated energy, particularly in cases of insufficient and excess generation, is examined, and economic indicators associated with these modes are considered.
 An analysis of the exact match mode (zero imbalance) of wind power plants in the context of integration into operation of PSs has been conducted. The utilization of storage and auxiliary maneuvering capacities' effects on the duration of the exact match mode and the level of zero imbalance are determined.

Organisation of the Structure and Functioning of Self-Sufficient Distributed Power Generation

During the operation of solar and wind power plants, it is necessary to solve issues related to the guaranteed capacity of these plants, as well as the frequency stabilisation in the power system where they operate, and maintain an operating mode of self-sufficiency conditions. One of the solutions to these problems is the use of energy storage systems. This article proposes a mathematical model for the study of frequency and power regulation processes in power systems with distributed generation, which includes renewable energy resources and energy storage systems. The novelty of the model lies in the possibility of determining energy cost indicators based on instantaneous energy power data. The model allows us to estimate the conditions under which distributed generation becomes self-sufficient. The results of the model calculations of two variants of power system operation, which includes wind generators with a capacity of 1500 MW, demonstrate the ability of the proposed model to accurately reproduce the dynamics of the frequency stabilisation process. The calculation results of the energy-economic indicators of a real power system combined with a powerful subsystem of wind generation and a battery-type energy storage system prove the competitiveness of self-sufficient renewable energy power plants.

Short-Term Wind Power Forecasting Based on VMD and a Hybrid SSA-TCN-BiGRU Network

Wind power generation is a renewable energy source, and its power output is influenced by multiple factors such as wind speed, direction, meteorological conditions, and the characteristics of wind turbines. Therefore, accurately predicting wind power is crucial for the grid operation and maintenance management of wind power plants. This paper proposes a hybrid model to improve the accuracy of wind power prediction. Accurate wind power forecasting is critical for the safe operation of power systems. To improve the accuracy of wind power prediction, this paper proposes a hybrid model incorporating variational modal decomposition (VMD), a Sparrow Search Algorithm (SSA), and a temporal-convolutional-network-based bi-directional gated recurrent unit (TCN-BiGRU). The model first uses VMD to break down the raw power data into several modal components, and then it builds an SSA-TCN-BIGRU model for each component for prediction, and finally, it accumulates all the predicted components to obtain the wind power prediction results. The proposed short-term wind power prediction model was validated using measured data from a wind farm in China. The proposed VMD-SSA-TCN-BiGRU forecasting framework is compared with benchmark models to verify its practicability and reliability. Compared with the TCN-BiGRU, the symmetric mean absolute percentage error, the mean absolute error, and the root mean square error of the VMD-SSA-TCN-BiGRU model reduced by 34.36%, 49.14%, and 55.94%.

Enabling control co-design of the next generation of wind power plants

Abstract. Layout design and wake steering through wind plant control are important and complex components in the design and operation of modern wind power plants. They are currently optimized separately, but with more and more computational and experimental studies demonstrating the gains possible through wake steering, there is a growing need from industry and regulating bodies to combine the layout and control optimization in a co-design process. However, combining these two optimization problems is currently infeasible due to the excessive number of design variables and large solution space. In this article, we present a method that enables the coupled optimization of wind power plant layout and wake steering with no additional computational expense than a traditional layout optimization. We developed a geometric relationship between wind turbines to find an approximate optimal yaw angle, bypassing the need for either a nested or coupled wind plant control optimization. It also provides a significant and immediate improvement to wind power plant design by enabling the co-design of turbine layout and yaw control for wake steering. A small co-designed plant shown in this article produces 0.8 % more energy than its sequentially designed counterpart. This additional energy production comes with no additional infrastructure, turbine hardware, or control software; it is simply the outcome of optimizing the turbine layout and yaw control together, resulting in millions of dollars of additional revenue for the wind power plants of the future.

Theoretical Analysis of the Operation of a Multi-Unit Wind Power Plant in Conditions of a Shortage of Wind Power

Theoretical Analysis of the Operation of a Multi-Unit Wind Power Plant in Conditions of a Shortage of Wind Power

НАКОПИЧУВАЧІ ЕЛЕКТРИЧНОЇ ЕНЕРГІЇ

The article provides an analytical review of reverse-acting electric energy storage devices that can be used to solve systemic problems of the United Energy System of Ukraine. The need for the use of electric energy storage is due to the existing shortage of maneuverable capacities of the United Energy System and the construction of solar and wind power plants, which, due to the stochastic mode of operation, are a significant destabilizing factor. Due to the lack of market pricing mechanisms, the possibility of adjusting the rates of the "green" tariff, and the decrease in the cost of solar and wind power plant technologies, a rapid increase in their number and capacity has been observed in recent years. At the beginning of 2021, the installed capacity of solar power plants was 6.87 GW, and wind power plants – was 1.31 GW, and by 2030, their growth is planned to be 10.5 GW and 5.0 GW, respectively. Without adequate regulatory capacity, this can lead to catastrophic consequences, as happened in South Australia. The conducted review and analysis showed that the dominant technology of electric energy storage in the world is hydro-storage power plants, the implementation costs of which are about 260 USD/kWh. Compressed air energy storage is the cheapest technology but needs to be located near the energy systems of natural caves. Accumulator systems of energy storage are developing at a fast pace, the costs of their implementation are 311-520 USD/kWh with a tendency to decrease by 2030 by about 25%. They are the most promising for work in energy systems. These storage devices can be used to regulate frequency and power, reduce electricity flows, reduce voltage fluctuations in electrical networks, consolidate daily schedules of electrical loads, prevent overloads of electrical networks and transformers, increase the reliability of electricity supply, increase the stability of the operation of solar and wind power plants, as well as for commercial purposes in various segments of the electricity market of Ukraine. Keywords: energy system, electricity storage, power, capacity.

Continuous Operation of Wind Power Plants Under Pole-to-Ground Fault in an HVDC System Consisting of Half-Bridge MMCs and Disconnecting Switches

This article focuses on a multicircuit HVDC system which can localize the dc line fault without dc circuit breakers. The conventional fault clearing method causes the shutdown and the restart of the wind power plants, which results in the suspension of the power supply. The suspension may affect the balance of supply and demand, and may cause frequency drop in the onshore ac power system. To solve the problem, this article proposes a system switching method to enable the continuous operation of the wind power plants under the dc line fault. The proposed method utilizes the half-bridge modular multilevel converter to clear the fault while keeping the wind power plants operating. As a result, the proposed method realizes the continuous operation of wind power plants and shorten the transmission outage to 0.2 s. Thus, it greatly increases the supply reliability. Experimental results demonstrate the validity of the proposed method.

Influence of Environmental Factors on the Intelligent Management of Photovoltaic and Wind Sections in a Hybrid Power Plant

The high-efficiency operation of photovoltaic and wind systems is affected by many factors and parameters that should be continuously monitored. Since most of the variable factors are related to weather conditions, they are difficult to predict. Therefore, in order to optimize the operating point of a photovoltaic or wind power plant, it is necessary to observe changes in the subject area. The operation of photovoltaic and wind power plants can complement each other. The results recorded at the hybrid power plant of the Faculty of Electrical Engineering of Bialystok University of Technology are useful for a comprehensive analysis of the power plant operation and the ways to optimize it. This paper presents the influence of environmental factors on the operation of a hybrid photo-voltaic–wind power plant located in the city of Bialystok, Poland. The aim of the study was to present the variable factors on the optimal adjustment of the location of the power plant elements at the stage of its design and selection of the energy management system. The presented measurement data from 2015–2021 allow conclusions to be drawn on the significant impact on the power plant’s operation, taking into account both the average conditions corresponding to the analysed location and the full range of changes in the listed factors.

МОДЕЛЮВАННЯ РЕЖИМІВ РОБОТИ ВІТРОВИХ ЕНЕРГЕТИЧНИХ УСТАНОВОК У ГІБРИДНИХ СИСТЕМАХ ЕЛЕКТРОПОСТАЧАННЯ

The article presents modern schemes for the organization of wind-solar power supply systems. Available approaches to managing the energy-dynamic process of operation of wind power plants as part of hybrid power supply systems are given, and modern research on this topic is given. The results of the development of a mathematical model of the energy-dynamic processes of the hybrid wind-solar power supply system, which includes wind power plants, solar panels, and a battery energy storage system. The universal structural diagram of such a system is substantiated. A set of production rules for the implementation of management of the hybrid power supply system and a simulation model of energy-dynamic processes for possible modes of operation of the system have been developed. The simulation model was developed in the IntelliJ IDEA programming environment using the Java programming language, the Spring framework, and the PostgresDB relational database. A simulated simulation of the system's operation was carried out in order to determine the optimal operating modes depending on the restrictions on the number of switchings of each wind power plant, the structure of the system and the parameters of its elements. The input data for the study of operating modes are the wind energy potential, the solar energy potential at a given geographical point, the number and technical parameters of wind electric installations and solar panels, as well as the energy parameters of the storage element. In order to reduce the number of switching (switching on/exclusion) of wind electrical installations in the hybrid power supply system, the parameter "Minimum interval between consecutive changes in the active composition of the wind farm" was introduced. The result of simulation modelling is the establishment of the following dependencies: customer support time from the deficiency of power supply probability (DPSP); the minimum interval between determinations of the active set of the wind power plant based on the number of switchings; the minimum interval between determinations of the active composition of wind turbines from the average deviation of the generation capacity. The obtained results will make it possible to optimize the parameters and modes of operation of hybrid wind-solar systems, as well as algorithms for managing energy-dynamic modes in the design and operation of systems.

EJECTION WIND POWER PLANT

The article covers issues related to non-traditional sources of electricity, namely wind energy. It is shown that every year wind energy is used on an increasingly large scale in order to satisfy the need of mankind for reliable and environmentally friendly sources of energy. It is noted that in many European countries a significant amount of energy was produced in wind energy, which is approximately 2% of its global consumption. In the developed countries of Europe, wind energy already makes up a fairly significant share of all electricity. Compared to the countries of Western Europe and the Mediterranean, Ukraine is a windless region, where winds blow more stably only in the Carpathians and on the Azov coast. Despite this, a significant number of wind power plants have already been built in Ukraine. The wind speed for the operation of industrial wind power plants must be at least 3 m/s. As a result of weak wind or its temporary absence, wind turbines operate on average at 35% of the calculated capacity. The goal of the research is to develop an ejection wind power plant that can operate at 100% of the calculated capacity due to the creation of a constant upward flow of air. The article proposes the design of an ejection vertical wind power plant, which will ensure efficient operation and will be able to operate at 100% of the calculated capacity. The methodology uses an analytical research method, which is based on the calculations of the main indicators of the ejection power plant. Also, the methodology provides means of determining the speed of the air flow, which ensures the efficient operation of power plants. In the work, the calculations of the speed of the air flow on the ejection wind intake, the dynamic pressure of the fan, the impulse of the force of the air flow on the rotor blade, the projected power, and the payback period were performed. The indicators of the linear movement of the fairing, which is in the design of the ejection power plant, depending on the drop in atmospheric pressure, are given. The developed ejection wind power plant will ensure electronic independence, environmental protection, operational safety and economy.

Assessment of the Life Cycle of a Wind and Photovoltaic Power Plant in the Context of Sustainable Development of Energy Systems.

The conversion of kinetic energy from wind and solar radiation into electricity during the operation of wind and photovoltaic power plants causes practically no emissions of chemical compounds that are harmful to the environment. However, the production of their materials and components, as well as their post-use management after the end of their operation, is highly consumptive of energy and materials. For this reason, this article aims to assess the life cycle of a wind and photovoltaic power plant in the context of the sustainable development of energy systems. The objects of the research were two actual technical facilities-a 2 MW wind power plant and a 2 MW photovoltaic power plant, both located in Poland. The analysis of their life cycle was carried out on the basis of the LCA (life-cycle assessment) method, using the ReCiPe 2016 calculation procedure. The impact of the examined renewable energy systems was assessed under 22 impact categories and 3 areas of influence (i.e., human health, ecosystems, and resources), and an analysis was conducted for the results obtained as part of three compartments (i.e., air, water, and soil). The life cycle of the wind power plant was distinguished by a higher total potential negative environmental impact compared to the life cycle of the photovoltaic power plant. The highest levels of potential harmful impacts on the environment in both life cycles were recorded for areas of influence associated with negative impacts on human health. Emissions to the atmosphere accounted for over 90% of all emissions in the lifetimes of both the wind and the photovoltaic power plants. On the basis of the obtained results, guidelines were proposed for pro-ecological changes in the life cycle of materials and elements of the considered technical facilities for renewable energy sources, aimed at better implementation of the main assumptions of contemporary sustainable development (especially in the field of environmental protection).

Staff Training and Scientific Research Activities on the Basis of the Moscow Power Engineering Institute’s Renewable Energy Sources Educational and Experimental Site

The Institute of Hydropower and Renewable Energy Sources at the National Research University Moscow Power Engineering Institute is the only one in the Russian Federation that unites departments implementing educational programs in the areas of electric power engineering, electrical engineering, and power machinery design and construction, with placing focus on power and hydraulic engineering facilities. The need of training high-skilled personnel with broad knowledge in the design and operation of hydroelectric, wind and solar power plants has led to the development of a unique laboratory complex. The article gives a retrospective review of the process through which the Joint Laboratory of the Institute of Hydropower and Renewable Energy Sources was established.

Impact of Wind Power Plant Operation on Voltage Quality Parameters—Example from Poland

In Poland, there has been a steady increase in the share of wind-generated energy in the overall energy balance of the country. However, wind power plants belong to unstable energy sources—the amount of generated power is variable in time. Variable generation may cause problems with the quality of energy transmitted in electricity networks. Therefore, this article presents the results of field tests of the impact of the Vestas V90 2 MW wind turbine on selected voltage quality parameters occurring in the grid. Due to the multifaceted influence of the power plant on the parameters of the grid to which it is connected, the article focuses only on four selected parameters: voltage value, zero and reverse asymmetry, and the value of the voltage distortion factor. The research conducted by the authors confirmed the positive influence of the operation of the wind power plant on the quality parameters of the electricity transmitted through the power grid. An increase in the power generated in the tested Vestas V90 power plant resulted in a decrease in the values of both the asymmetry factor (zero and reverse) and the total voltage distortion factor THDU.

A distinctive methodology to recover renewable penetration cost into electric grid

The current work portrays a unique methodology for the optimal penetration and operation of wind and solar power plants into the real-time Andhra Pradesh (AP) state electricity grid. The objectives of the presented work include identifying the suitable locations for the installation of wind and solar power plants, forecasting the wind and solar powers available using the proposed persistent extreme learning machine algorithm and finally obtaining the payback period of the installation with the optimal operation. It was observed that the suggested algorithm forecasts very precisely, which was validated with the help of hardware setup. The payback period was calculated with the incorporation of wind alone, solar alone and both wind-solar combination. With the obtained results, it can be derived that the incorporation of wind-solar combination into the AP real-time system yields to less payback period over the trio.

Optimizing the Operation Mode of an Autonomous Wind Power Plant with a Distributed Generation System

The article considers physical interactions and a mathematical model of a wind power plant consisting of separate wind turbines distributed over a large area, which generate electric energy to common buses and from them to a transformer and load. Induction generators are used as electromechanical converters, which differ from synchronous ones in having a simple design and featuring better operational reliability. In view of distributed location of wind turbines, each of them generally operates under different wind conditions; in addition, their interaction depends both on the length of cable routes to the busbars and on the parameters of transformers. Owing to these circumstances, it is of interest to study parallel operation of distributed induction generators and the possibility to optimize the wind power plant operation mode to ensure the required quality of the generated electricity in terms of power supply frequency and voltage. The operation mode of such wind power plant – taking as an example two induction generators operating in parallel on a common resistive-inductive load – is represented by a complex T-shaped equivalent circuit, the mathematical description of which is given by nonlinear complex homogeneous equations for nodal potentials. The magnetization inductances are nonlinear functions of the EMFs, which are analytically approximated by an inverse trigonometric function. The mechanical equilibrium equations include the wind turbine torques, the electromagnetic moments of generators, the rotating parts inertia moments, and resistance and friction moments. It should be noted that with a given wind turbine size, its torque depends on the angular rotation speed, wind velocity and blade angle, and is approximated by spline functions of the load impedance and wind turbine rotation speeds. The operating mode analysis is based on the numerical calculation of non-trivial solutions of nonlinear complex equations for the potentials of the equivalent circuit nodes, load voltage and frequency, and their subsequent approximation as a function of rotation speeds and load impedance at fixed values of load inductance, capacitances, ballast conductivity, and other parameters. On the example of a calculation performed for typical parameters of a small-capacity wind power plant with a real difference of wind velocities for individual wind turbines and variable load impedance, it is shown that by changing the blade angle alone, it is not possible to stabilize the voltage parameters on the load, while by simultaneously changing the capacitive and ballast conductivities, the frequency and voltage can be stabilized at the specified levels. In particular, with increasing the wind turbine rotation speeds, the capacitive and ballast conductivity should be increased, and with an increase in load resistance, the ballast conductivity should also increase, and capacitive conductivity should decrease. As a subsequent development of this method, ways to stabilize the operation of such wind power plant with an arbitrary number of generators can be analyzed.