Power Source Capacity Research Articles

Optimal Power Source Configuration of Independent Microgrid Based on Natural Resource Evaluation

Power source configuration is an important stage of independent microgrid planning, which guarantees the economic and reliable operation of the microgrid system. The type and capacity of power source for the independent microgrid are affected by the factors such as load level, geographical location, wind, solar, water, and other natural resources. This paper analyzed the characteristics of natural resources in different regions. The index evaluation system of wind, solar, and hydropower resource was constructed, and the fuzzy evaluation method was proposed to evaluate the wind-solar-hydropower resource. Considering the power supply reliability and environmental friendliness, the optimization model of the microgrid power source was established with the objective of minimum comprehensive generation cost and the power and energy balance as constraints. Generative Adversarial Networks (GANs) were applied to simulate the uncertainty of wind, solar, and hydropower output and generate multiple operation scenarios of independent microgrids. The improved method for the K-Medoids clustering algorithm was studied to reduce the number of operational scenarios and enhance computational efficiency. Finally, an example was presented to illustrate the analysis processes and verify the feasibility and rationality of the proposed method. The wind-solar-hydropower resource levels of 30 provinces in China were obtained, and five representative regions were selected. The power source configuration scheme of an independent microgrid in these regions was proposed, which provided a reference for independent microgrid planning.

Power Source Importance Assessment Based on Load Importance and New Energy Uncertainty

With the increasing penetration of new energy sources, the volatility and uncertainty of new energy output can lead to interruptions or fluctuations in the supply of electricity. Power cuts to critical loads can have a significant impact on public safety, social stability, and the economy. Dealing with the effects of uncertainty from new energy sources means we need to find and strengthen the important loads and power sources when designing and operating the power system. Therefore, the assessment of the importance of loads, conventional power sources, and new energy sources is crucial. This paper proposes a power source importance evaluation method based on load importance and new energy uncertainty. The method constructs a load importance evaluation system considering structural characteristics, outage loss, regulation capability, and other factors. To determine the importance of each load, the method uses the ideal solution method and ranks them accordingly. Next, the method calculates the power supply coefficient, which represents the power supply capability of the power source to the critical loads. This calculation involves using the three-point estimation method, which combines the characteristics of the new energy output and the importance of each load. Following that, the evaluation of load importance and the power supply capacity to critical loads is accomplished based on the ideal solution method, taking into account the diversity of power supply characteristics. This comprehensive evaluation allows us to assess the significance of each load and the power supply capability to meet the needs of critical loads, considering the unique characteristics of each power source. Finally, an example analysis is carried out on the IEEE39 to calculate the importance of various types of power sources, which can accurately reflect the power supply capacity of power sources to important loads and verify the validity of the evaluation method. This method provides subsidies for future power system grid planning and operation.

Research On Multi-source Collaborative Distribution Network Fault Recovery Technology

When a power outage occurs in the power system, multiple distributed power sources and energy storage systems connected to the distribution network can be coordinated to restore power to important lost loads in a priority and fast manner. However, the generation output of intermittent power sources such as wind and photovoltaic is uncertain, which makes it difficult to provide a continuous and stable power supply to the loads in isolated islands. In this paper, we first explore the improvement effect of multi-source cooperative fault recovery on distribution system resilience, consider the distribution system with distributed power sources, energy storage systems, and controllable loads, and propose a distribution system recovery model with the goal of maximizing the power consumption of the restored loads for a relatively short period of time after a power outage incident. Then, the power output characteristics and power supply capacity of various distributed power sources are analyzed, and the intermittent power output fluctuations are compensated using controllable loads. Finally, the proposed model and method are validated using a modified IEEE 33-node distribution network as an example.

To the method of calculation of the main characteristics of promising booster electric pump units of liquid processor engines

The increase in the capacity of electric power sources, the use of electric motors in the systems for supplying rocket fuel components from foreign companies, the limitations on the power of classical fuel supply systems all these conditions set a trend for studying the possibility of introducing electric drives for rocket engine power systems. The study is devoted to the analysis of the possibility of using electric motors as a drive for the main and auxiliary pumps of liquid rocket engines. Promising developments in the field of rechargeable batteries give grounds for a mathematical justification for the use of this technical solution in order to modernize power systems, both existing rocket engines and samples under development. The article presents a selection of patents for modern technologies for creating high-capacity batteries, an analysis of the use of technology for the use of electric motors in the international market for delivering payloads to orbits, and a rationale for the prospects of this direction in the development of rocket engines. The statistics of the causes of failures of upper stages and their correlation with units, which can be replaced by more reliable systems using electric motors, have been studied. The advantages and disadvantages of power supply systems with the use of electric drives are determined. This study allows us to conclude that the use of electric motors in rocket engine power systems is a promising solution that improves the efficiency of the propulsion system, performance and reliability.

Assessment method of large-scale distributed power consumption capacity for rural grids

As the scale of photovoltaic (PV) access continues to expand, both transmission and distribution grids are experiencing systemic consumption problems, with rural distribution grids being particularly prominent. An accurate assessment of distributed power consumption capacity is crucial to the improvement of distributed power consumption capacity. Firstly, taking into account the uncertainty of the output of the distributed power supply and comprehensive consideration of power quality, reliability of the electricity supply and operational influences, A comprehensive index evaluation system has been established to assess the ability of distributed power sources to consume; secondly, hierarchical analysis and improved gray correlation analysis are used to assign weights to the indexes; finally, a Monte Carlo model is used to identify the consumption capacity of rural power grids. This method can provide a comprehensive and accurate assessment of the consumption capacity of large-scale distributed power sources in new rural power grids, and also provide data support for solving the problem of new energy consumption in power grids.

Coordination control method to block cascading failure of a renewable generation power system under line dynamic security

The large application of renewable energy generation (REG) has increased the risk of cascading failures in the power system. At the same time REG also provides the possibility of new approaches for the suppression of such failures. However, the capacity and position of the synchronous generator (SG) involved in regulation limit the power regulation speed (PRS) of REG to the overload line which is the main cause of cascading failures, while the PRS of SG is related to the position and shedding power. REG and SGs have difficulty in achieving effective cooperation under constraints of system power balance. Particularly, the dynamic variation of line flow during power regulation causes new problems for the accurate evaluation of line thermal safety under overload. Therefore, a new strategy for quantitatively coordinating shedding power and power regulation to block cascading failures in the dynamic security domain is proposed in this paper. The control capability and dynamic security domain of the overload line are modeled, and the coordination control method based on power regulation is then proposed to minimize shedding power. The algorithm for the optimal control scheme considers the constraints of load capacity, power source capacity and bus PRS. The correctness of the proposed method is verified using case studies.

Influence of machining duration of 0.8SiO2/ 0.2Al2O3 nanopowder on electrochemical characteristics of lithium power sources

This paper highlights the relationship between changes in the electrochemical properties vs grinding duration of mixed nanosilica and nanoalumina powders. The dependence of the electrochemical characteristics on structural and morphological changes in the nanocomposite powder has been elucidated. A study of the electrochemical characteristics was performed in galvanostatic and potentiodynamic modes. Scanning electron spectroscopy (SEM), X-ray diffraction analysis (XRD) and ultra-soft X-ray emission spectroscopy (USXES) were used to determine the grinding duration effect on the structural and morphological characteristics. It have been found that as a result of increasing duration processing, the composite is compacted due to O-Opπ-interaction between surface atoms of nanoparticles. From the results of electrochemical studies, it has been found that the changes in specific structural features lead to changes in the discharge capacities of lithium power sources. Namely, an increase in grinding time to 5 min leads to increase in charge capacity of first cycle and capacity after 50 cycles. However, with increasing grinding duration to 10, 15 and 20 min is accompanied by a decrease in the charge state of oxygen, specific surface area and increasing of coherent region scattering that lead to a decrease in the discharge capacity.

Disposable personal protective equipment vending machine

The article presents the concept and structure of a prototype of a vending machine that can dispense disposable personal protection equipment (PPE) or other products with similar physical properties (size, weight) to be used in outpatient clinics, hospitals or beauty parlours, where special and effective protection against pathogens is required, particularly during the pandemic. Due to the difficult-to-predict and unspecified technical and on-site conditions for the installation and use of the device, the authors wanted to achieve autonomy by using a replaceable battery as a power source and large storage capacity of a product rack, at a limited size of the device. The machine operates on a contactless payment system (credit/debit card or NFC mobile payments) – to buy a gown, a customer just has to tap or wave their card on or over the card reader installed in the front wall of the cabinet. Purchased products are dispensed automatically, once the transaction has been approved. The vending machine is also equipped with a removable dispenser to better manage any waste generated. The prototype was comprehensively tested in accordance with the developed verification methodology, in cooperation with an entity interested in implementing the device.

Electroreduction of silicon from the NaI–KI–K2SiF6 melt for lithium-ion power sources

Silicon and silicon-based materials are increasingly used in microelectronics, metallurgy and power generation. To date the active study aimed at the development of silicon materials to be used in devices for solar energy conversion, accumulation and storage is underway. In addition, silicon is a promising anode material for lithium-ion fuel cells. In the present paper a possibility of silicon electroreduction from the NaI–KI–K2SiF6 melt in the argon atmosphere is studied. With this aim in view the electrolysis of the NaI–KI–K2SiF6 melt with glassy carbon cathode was performed under galvanostatic and potentiostatic regimes at the temperatures ranging from 650 to 750 °С. The morphology, phase and elemental analyses of the obtained silicon deposits were performed after their separation from the electrolytes by the ICP, SEM-EDX, XRD and Raman spectroscopy methods. Fiber and thread-like silicon samples of 60 to 320 nm in dimeter with admixtures concentrations (mainly oxygen) from 1.2 to 4.6 wt.% were experimentally synthesized. The obtained samples were tested as possible Si/C composite anodes for lithium-ion power sources. The discharge capacity of such power sources after 30 cycles of lithiation-delithiation ranged from 440 to 565 mAh·g–1 and the coloumbic efficiency ranged from 89 to 91%.

Evaluation Method of Distribution Network Carrying Capacity Based on Bayesian Network

The high-permeability distributed new energy is connected to the distribution network, which aggravates the fluctuation and uncertainty of the distribution network. In order to gradually improve the scientificity and accuracy of the distributed new energy-carrying capacity evaluation, it has become an essential means to solve the problem of wind and light abandonment by means of high-voltage DC channels to realize the power transmission from the new energy-rich areas and promote the interconnection and carrying of multiple areas. This paper proposes a calculation model of the maximum carrying capacity of multi-distributed power sources accessing the power network. The Bayesian network model limits the voltage offset, voltage fluctuation, short circuit current, and subsequent current related to electrical protection. Based on the dynamic sensitivity of the constraint index to distributed power capacity, a segment solution method is proposed to deal with various constraints. Through experimental analysis, it is proved that the speed of promoting the model in this paper is faster. It has an optimization effect for more constraints. This paper can reasonably evaluate the carrying capacity of the existing distribution network for distributed new energy, and provide support for further research on the carrying capacity improvement strategy of high-permeability and fluctuating new energy.

Scheduling Home Appliances with Integration of Hybrid Energy Sources using Intelligent Algorithms

This paper presents Home Energy Management System(HEMS) for smart homes. This system includes Photovoltaic Sources and Battery Storage Units(BSU)and scheduling Smart Home(SH) appliances with various kinds and types of residential users. In addition, a classification algorithm of energy response programs, which relies on the electricity prices, is introduced for scheduling appliances of single and multiple homes using combined the Time of Use(TOU) and Inclining Block Rate(IBR) to control the demand under the grid station capacity and energy efficacious integration of hybrid power sources in Smart Grid(SG). Four different optimization algorithms used and compared for scheduling appliances. The simulation results show that the proposed algorithm achieves the desired objectives, in which the electricity cost and the Peak Average Ratio(PAR) were lowered, waiting time to the user is minimized, reducing the electricity bill per month/year. In addition, the proposed system increases the stability and reliability of the grid and consumers satisfaction.

IASA-Based Capacity Allocation Optimization Study for a Hydro–Pumped Storage–Photovoltaic–Wind Complementary Clean Energy Base

Photovoltaic and wind power is uncontrollable, while a hydro–pumped storage–photovoltaic–wind complementary clean energy base can ensure stable power transmission in the whole system through power quantity regulation by the hydropower station and the pumped storage station. Reasonable allocation of installed capacities of various power sources in the system can improve the reliability and economy of systematic power supply. A system model was built generalizing the hydropower station and the pumped storage station as an energy storage unit, compensating and regulating the natural output process to match the system output and the load and to establish a correlation between the installed capacity of the base and the output index. Installed capacity allocation optimization was studied through an optimization model built with an initial investment of the base as the objective function and with power supply guarantee rate, power abandonment rate, and installed capacity as restraints and solved using improved artificial sheep algorithm (IASA) based on the shepherd dog supervision mechanism. A Yellow River clean energy base was selected for a case study analyzing the influence of power supply guarantee rate and power abandonment rate on installed capacity allocation and investment. For the two most important parameters in the optimization process, that is, the power supply guarantee rate and the power abandonment rate, after qualitative and quantitative analysis, it is found that the power supply guarantee rate has a greater impact on the initial investment. In this study, a combination of the power abandonment rate of 18% and the guaranteed rate of 90% is finally selected for the optimization calculation. The case study indicates that sole increase of installed photovoltaic or wind capacity resulted in the increase of both power supply guarantee rate and power abandonment rate; an appropriate increase in the installed capacity of the pumped storage station raised the power supply guarantee rate and lowered the power abandonment rate; and the optimal installed capacity allocation of the photovoltaic, wind, pumped storage, and hydropower under a specific load condition of the case project is 4.6:1.4:1.7:1.

Collaborative Management of Multi-Type Energy for Optimal Control of Voltage and Loss of Distribution Systems with DGs and SVCs

Aiming at the deficiencies and shortcomings of traditional reactive power compensation devices in controlling and improving voltage quality, a bilevel programming model for the coordinated optimal allocation of active and reactive power capacity of photovoltaic power generation systems, wind-driven generators, shunt capacitors and static var compensators is established based on chance-constrained programming. In the optimization model, the randomness and intermittence of the output power of the distributed generation and the reactive power regulation ability of the distributed generation are considered. The correlation of illumination, wind speed and load fluctuation is considered and affected by seasonal variation. Latin hypercube sampling method is used to deal with the correlation of random variables. Monte Carlo probabilistic power flow method is used to calculate the power flow of distribution network with intermittent distributed generation systems. The location and capacity of active and reactive power sources in outer programming are optimized by adaptive artificial fish swarm algorithm, and the allocation scheme of active and reactive power sources determined by outer programming is optimized by inner adaptive artificial fish swarm algorithm. The two-layer nested adaptive artificial fish swarm algorithm is used to solve the optimal allocation problem constructed in this paper, and the optimal allocation scheme of active and reactive power supply capacity is determined. Taking IEEE33 distribution system as an example, the feasibility and applicability of the proposed model and algorithm are verified.

Research on the full-load joint regulation strategy of coal-fired generating units and electrolyzed hydrogen production

As the installed capacity of wind power and other renewable energy sources continues to increase, the intermittent and volatility of their output has put tremendous pressure on the safe and stable operation of the power grid. The demand for peak shaving is becoming increasingly urgent. In this paper, the electrolysis hydrogen production system participates in the deep peak shaving of coal-fired generators. Through the participation of load regulation of the electrolysis hydrogen production system, according to the requirements of the power grid on the different loads of the unit, the load of the electrolysis hydrogen production system is adjusted to adjust the load of the unit. In order to realize full-load regulation of coal-fired thermal power plants and improve the power generation efficiency of units.

Загальні засади забезпечення електропостачання в локальних децентралізованих енергосистемах

There has been carried out the analysis of current trends in the development of distributed generation systems, a general approach to ensuring reliable and stable operation of decentralized energy systems based on renewable energy sources, taking into account the capabilities of energy storage systems and climate forecasting generation. Based on the analysis of the peculiarities of the technological process of electricity generation by alternative power sources inherent in the Ukrainian realities, their classification is carried out on the basis of controllability and predictability. On the basis of the specified classification the generalized approach to construction of the combined local power system which would meet requirements of reliability of power consumption of consumers is offered. The conditional division of the elements of the local energy system into information-logical components and technological subsystems is proposed. Information and technological connections between the elements of the local energy system are determined. Preliminary analysis of shunting capabilities of available capacities of alternative power sources is carried out. Based on the analysis, it is proposed to use the method of combining schedules of generation and consumption of electricity for further formation to form a graph of the mismatch between the balance of consumed and produced electricity. It is proposed to use the graph of mismatch of consumed and generated capacity as a mathematical function of control of the process of generation and consumption of electricity in local electrical networks. It is pointed out the need to apply regulatory means not only for generation facilities, but also for consumers and energy storage systems in order to eliminate inconsistencies in the balances of produced and consumed electricity.

Analysis of factors affecting the capacity of LI-ION rechargeable batteries at low temperatures

This work analyses the factors affecting the capacity of rechargeable chemical electrical power sources. Primarily, it is focused on the classification of these factors and the development of recommendations for increasing the capacity of batteries. We propose an original approach to the Li-ion rechargeable batteries operation, that is mandatory input control and several charge/discharge cycles before placing Li-ion accumulator battery into the operating device. We propose a method for periodic control of Li-ion accumulator batteries in particularly important devices and for the concept of predictive repair. The charge volume loss during operation of a Li-ion rechargeable battery at sub-zero temperatures was assessed quantitatively. The engineered method and the created device can be used when operating a Li-ion accumulator battery at sub-zero temperatures, in the far north, or in the case of increased reliability requirements for devices running on Li-ion rechargeable batteries. Further research will be aimed at the automated monitoring of the state of Li-ion accumulator battery, as well as the possibility of integrating this development into devices using Li-ion accumulator battery in advanced smart systems.

Application of improved particle swarm algorithm to power source capacity optimization in multi-energy industrial parks

Application of improved particle swarm algorithm to power source capacity optimization in multi-energy industrial parks

A study on the capacity of renewable energy power sources to be connected to the power system

A study on the capacity of renewable energy power sources to be connected to the power system

Effect of mechanical treatment on the distribution of valence electrons and characteristics of nanocomposite (SiO2)x(Al2O3)1-x (x = 0.8, x = 0.7) electrodes in lithium power sources

Ultra-soft X-ray emission spectroscopy was used to study the distribution of Op-, Sisd- and Alsd- valence electrons in (SiO2)x(Al2O3)1-x (x = 0.8, x = 0.7) powder mixtures after mechanical treatment. An increase in atomic charges has been measured and can be explained by the transfer of electrons from Si/Al to O atoms in split Opπ-binding states and the formation of the weak long (OO)π bonds between the surface atoms of the contacted powder nanoparticles. Scanning and transmission electron microscopy images show an enhanced agglomeration of the nanoparticles of both SiO2 and Al2O3 oxides, but no changes in the crystalline parameters have been measured using X-ray diffraction. An increase in charge capacities of lithium ion power sources with 0.8SiO2–0.2Al2O3 electrode has been observed during cycling. At the same time, a decrease of the charge capacities with the 0.7SiO2–0.3Al2O3 electrode has been measured. The results are discussed in terms of an increase in the binding energy of electrons in the Op-states, which prevents the recombination and irreversible reactions of lithium with electrode atoms. Otherwise, due to cycling, electron population increase of in non-binding states near the valence band top contributes to the recombination ability of Li+ ions and leads to a decrease in the charge capacity.

A Power Converter Decoupled from the Resonant Network for Wireless Inductive Coupling Power Transfer

In a traditional inductive coupling power transfer (ICPT) system, the converter and the resonant network are strongly coupled. Since the coupling coefficient and the parameters of the resonant network usually vary, the resonant network easily detunes, and the system efficiency, power source capacity, power control, and soft switching conditions of the ICPT system are considerably affected. This paper presents an ICPT system based on a power converter decoupled from the resonant network. In the proposed system, the primary inductor is disconnected from the resonant network during the energy injection stage. After storing a certain amount of energy, the primary inductor is reconnects with the resonant network. Through this method, the converter can be decoupled from the resonant network, and the resonant network can be tuned under various coupling coefficients. Theoretical analysis was explored first. Simulations and experimental work are carried out to verify the theoretical analysis. The results show that the proposed ICPT system has the virtues of low power source capacity, independent power control, and soft switching operation under different coupling coefficients.