The task of power systems mode optimization relates to the complex tasks of non-linear mathematical programming. Despite the development over the past few decades many methods and algorithms for solving this problem, questions of their improvement taking into account the current operating conditions of energy systems remain an important task. This article proposes a new algorithm for the optimization of short-term modes of power systems, taking into account frequency changes in terms of the probabilistic nature of initial information. A distinctive feature of the algorithm is associated with the elimination of the need to choose the single slack bus with balancing power plant in calculations, which is typical for many existing methods. It is shown that taking into account frequency change in the optimization of power system mode in terms of probabilistic nature of initial information can introduce significant changes in the calculation results and lead to a corresponding increase in the resulting economic effect.
This article considers the criteria for the existence of established modes of power systems. Nonlinear nodal equations of steady-state modes are presented, which have many solutions or do not have any physically realizable solutions. Criteria for the existence of solutions are given based on derivatives of power losses depending on the parameters of the power system modes. Equivalent circuit of the electrical system was performed using the South-Western MEN (MAIN ELECTRIC NETWORKS). The paper highlights the results of calculations of steady-state modes of the electrical system at weighted values of node 12. The maximum normal modes of electrical systems for the power of nodes was determined by the criteria are set
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Electric energy production in small-scale hydropower stations is attractive from both an ecological and an economical point of view. Technological innovations and measures to lessen environmental impacts make small-scale hydropower stations inexpensive and justified energy sources that provide renewable energy on an independent basis and help not only to protect the environment but also to weaken human dependence on fossil fuels. This study is devoted to finding solutions based on renewable energy technologies and innovations in Uzbekistan. This article is devoted to the development of a water wheel experimental model for the micro-hydroelectric power station. Experimental studies were carried out on the basis of this model and obtained results were used in the preliminary calculations. The results from the calculations showed that the installation can generate 7-11 kWh of electricity per hour, about 168-264 kWh of electricity per day and 61 to 96 MWh of electricity per year.
This article considers the main methods of regulating water consumption and power of micro hydroelectric power plants. New technical solutions for screw jet turbines adapted to low pressures and water flow rates are proposed. The Archimede’s screw turbine is a cost-effective and environmentally friendly microhydropower technology that operates at high efficiency at low pressure and medium flow rates. In this case, the change in power depends on the following parameters: the number of blades, water flow, the angle of inclination of the blades and the height of the pressure. Preliminary calculations carried out by the authors show that the power of a microhydroelectric power station depends on individual factors of the area. With an increase in the speed of the water flow, the speed of the water wheel also increases, and in turn, the electric power of the microhydroelectric power station increases.
This article highlights the combined use of solar and hydropower based on a rational combination of traditional and renewable energy sources for powering agriculture and water management. At the same time, a combined integrated power supply system was formed. Provided, the energy is required from renewable sources, it fully provides the consumer, and the excess energy is transferred to the centralized network (N″), if the energy received from the network is less than the energy entering the network, the recommended system is efficient (N′″).
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