Power Industry In Recent Years Research Articles

An Evolutionary Game Model of Market Participants and Government in Carbon Trading Markets with Virtual Power Plant Strategies

The utilization of conventional energy sources commonly leads to heightened energy consumption and the generation of specific forms of environmental pollution. As an innovative power management and dispatch system, virtual power plants (VPPs) have the potential to significantly enhance the flexibility and stability of power systems, while supporting carbon reduction targets by integrating distributed energy resources (DERs), energy management systems (EMSs), and energy storage systems (ESSs), which have attracted much attention in the power industry in recent years. Consequently, it can effectively address the variability and management challenges introduced by renewable energy. Furthermore, optimizing power market dispatch and user-side power management plays a pivotal role in promoting the transition of the energy industry towards sustainable development. The current study highlights the unresolved issue of strategic decision-making among market participants, such as energy companies, generation companies, and power distribution companies, despite the potentially significant benefits of VPPs. These entities must carefully evaluate the costs and benefits associated with adopting a VPP. Additionally, governments face the complex task of assessing the feasibility and effectiveness of providing subsidies to incentivize VPP adoption. Previous research has not adequately explored the long-term evolution of these decisions in a dynamic market environment, leading to a lack of adequate understanding of optimal strategies for market participants and regulators. This paper addresses this critical research gap by introducing an innovative bilateral evolutionary game model that integrates VPP and carbon trading markets. By utilizing the model, simulation experiments are carried out to compare different strategic decisions and analyze the stability and long-term evolution of these strategies. Research findings indicate that the adoption of VPP technology by market participants, in conjunction with government policies, results in an average 90% increase in market participants’ earnings, while government revenues see a 35% rise. This approach provides an alternative method for understanding the dynamic interactions between market participants and government policy, offering both theoretical and practical insights. The findings significantly contribute to the literature by proposing a robust framework for integrating VPPs into electricity markets, while offering valuable guidance to policymakers and market participants in developing effective strategies to support the sustainable energy transition. The application of this model has not only enhanced the understanding of market dynamics in theory, but also provided quantitative support for strategic decisions under different market conditions in practice.

Energy Consumption Analysis and Management Strategies for the Dairy Farm in India Towards Sustainable Development

ABSTRACT Environmental pollution and the rapid decline in the availability of fossil fuels are the major concerns of the electric power industry in recent years. Effective utilization of electrical energy is the need of the hour in building the nation towards sustainable development. This study presents the energy consumption analysis and management performed in a diary firm located in Tamil Nadu, India. Initially, the energy usage of the firm is estimated based on its electricity bills, meter readings, and survey followed by detailed energy consumption analysis and evaluation. The study employs guidelines provided by the Indian Bureau of Energy Efficiency for energy management. The detailed analysis performed finds scopes for improvement in efficient energy usage. Numerical analysis shows that implementation of proposed action plans that include installation of automatic power factor correction, replacement of overheating equipment, and replacement of lighting systems with energy-efficient lighting would save annual energy of 123.96 kWh which in turn results in the reduction of annual CO2 emission by 117.76 tonnes. Furthermore, this paper also proposes a novel optimal process scheduling which optimally schedules different processes in the firm without affecting productivity. This makes an additional savings of INR 4,23,360 per annum in the energy cost by minimizing the maximum demand of the firm with zero investment. A comparison of the proposed approach with existing methodologies available in the literature shows the effectiveness of the proposed technique.

China's Electric Power Industry: State and Development Prospects in the Context of Carbon Neutral Industry

China has set a goal of achieving peak carbon emissions by 2030 and carbon neutrality by 2060. Increasing the electricity utilization factor is the key to achieving this goal. The article considers the development of China's electric power industry in recent years and compares the installed electrical capacity, electricity production and consumption, investments in the electric power industry, and analyzes the characteristics and potential of China's renewable energy sources, including hydraulic, wind and solar energy. Increasing the electricity production from renewable energy sources, promoting the substitution of conventional fossil energy sources such as oil with electricity, increasing the share of electricity in the total energy consumption, and strengthening international cooperation in the field of electricity generation from renewable energy sources are important measures to reduce carbon dioxide emissions and solve the climate change problem. The promotion of environmentally clean transport facilities such as electric vehicles and electric bicycles, combination of renewable energy sources with energy storages, and prioritizing the construction of demonstration projects in remote industrial and rural areas are measures that will help to gradually increase the utilization factor of renewable energy sources in China.

SIMULATION OF THE POWER SUPPLY SYSTEM OF WATER INTAKE STATION PUMPS

Background The development of the electric power industry in recent years has been characterized by the active introduction of electronic equipment in relay protection systems, regime and emergency automation. However, electronic equipment, as a rule, is very sensitive to interferences that appear in secondary circuits, the sources of which are switching devices, lightning strikes, short-circuit currents, etc. On the other hand, the introduction of new equipment and technologies contributes to the deterioration of power quality indicators, which leads to a decrease in the reliability of electronic equipment and a sharp increase in failures in operation or false alarms. Aims and Objectives Analysis of the influence of the technical condition of electric motors on the reliability of the power supply system. Results The relationship between the technical parameters of electric motors and the parameters of the higher harmonic components of currents and voltages has been established. A mathematical model has been developed in the MATLAB environment, the use of which makes it possible to study the operation of an electric motor with various methods of regulation and various functions of loading an asynchronous electric drive of pumping units

Modeling Voltage Source Converters for Harmonic Power Flow Studies

Voltage source converter (VSC) based devices have become widely accepted by the power industry in recent years as a result of renewable energy initiatives and other developments. Due to their nonlinear v∼i characteristics, it is essential to understand and model the harmonic impact of VSC devices in a power system. In response to such a need, this paper proposes a rigorous harmonic model of VSC devices suitable for harmonic power flow studies of large-scale power systems. Through detailed mathematical derivations, this research has shown that the model takes the form of a coupled frequency-dependent impedance matrix. Formulas to compute the impedance elements have been established. The results show that the impedance is independent of the harmonic voltages experienced by the VSC device, and thus it can be easily integrated into existing harmonic power flow tools. The accuracy of the model, as well as its usefulness for harmonic power flow studies, have been verified using EMT simulations.

Investigating the Impacts of Wind Generation Participation in Interconnection Frequency Response

The electrical frequency of an interconnection must be maintained very close to its nominal level at all times. Excessive frequency deviations can lead to load shedding, instability, machine damage, and even blackouts. There is rising concern in the power industry in recent years about the declining amount of inertia and primary frequency response (PFR) in many interconnections. This decline may continue due to increasing penetrations of inverter-coupled generation and the planned retirements of conventional thermal plants. Inverter-coupled variable wind generation is capable of contributing to PFR and inertia; however, wind generation PFR and inertia responses differ from those of conventional generators, and it is not entirely understood how this will affect the system at different wind power penetration levels. The simulation work presented in this paper evaluates the impact of the wind generation provision of these active power control strategies on a large, synchronous interconnection. All simulations were conducted on the U.S. Western Interconnection with different levels of wind power penetration levels. The ability of wind power plants to provide PFRand a combination of synthetic inertial response and PFRsignificantly improved the frequency response performance of the system. The simulation results provide insight to designing and operating wind generation active power controls to facilitate adequate frequency response performance of an interconnection.

Uplift response of multi-plate helical anchors in cohesive soil

The use of helical anchors has been extensively beyond their traditional use in the electrical power industry in recent years. They are commonly used in more traditional civil engineering infrastructure applications so that the advantages of rapid installation and immediate loading capability. The majority of the research has been directed toward the tensile uplift behaviour of single anchors (only one plate) by far. However, anchors commonly have more than one plate. Moreover, no thorough numerical and experimental analyses have been performed to determine the ultimate pullout loads of multi-plate anchors. The understanding of behavior of these anchors is unsatisfactory and the existing design methods have shown to be largely inappropriate and inadequate for a framework adopted by engineers. So, a better understanding of helical anchor behavior will lead to increased confidence in design, a wider acceptance as a foundation alternative, and more economic and safer designs. The main aim of this research is to use numerical modeling techniques to better understand multi-plate helical anchor foundation behavior in soft clay soils. Experimental and numerical investigations into the uplift capacity of helical anchor in soft clay have been conducted in this study. A total of 6 laboratory tests were carried out using helical anchor plate with a diameter of 0.05 m. The results of physical and computational studies investigating the uplift response of helical anchors in soft clay show that maximum resistances depend on anchor embedment ratio and anchor spacing ratio S/D. Agreement between uplift capacities from laboratory tests and finite element modelling using PLAXIS is excellent for anchors up to embedment ratios of 6.

The present status and challenges of wind energy education and training in China

Wind energy has been identified in China as an important alternative energy source to balance its energy mix. By the end of 2012, wind power (2%) has surpassed nuclear power to become China's 3rd largest energy resource of electricity, only behind thermal power and hydropower. The rapid growth of China wind power industry in recent years has made China become the biggest market in the world. Meanwhile, it has created a big market for educational institutions to provide wind energy related education and training. The main objective of this study is to review current wind energy education and training in Chinese universities and training centers. Most of wind energy courses are provided by public universities because they have been accredited by Ministry of Education of China to offer students different options, including full-time and part-time degrees in Bachelor, Master or Ph.D. On-the-job training also has tremendous demand from the professionals who prefer short-term courses or on-site courses. Generally, the development of wind energy education and training lags behind the growth of wind power industry. Our study highlights the major opportunities and future challenges in China wind energy education and training.

The Applications of Neural Networks in the Engineering Cost of Transmission Line

With the rapid development of the electric power industry in recent years, the strengthening of the power construction market and the diversification of the main body of power investment, there appears a prominent question in front of the project owners——How to control and reduce construction costs? There are many methods to estimate the cost quickly and accurately. Among the common methods and some new ways which have appeared in recent years, people can find about seven types out of them, in which, neural network model is known for its versatility and adaptability. It does not exclude new sample. On the contrary, it improves its ability to generalize and forecast with the increasing number of samples. Therefore this paper establish a cost estimation model by introducing neural network which is based on the optimization of genetic algorithm, and expresses the relationship implied in the interior of data by using the network topology and parameters by studying a large number of samples so as to fit the conventional non-linear mapping relationship between the amount and cost of a transmission line project. The results show that the artificial neural network model has a significant effect on the project cost estimation. The introduction of neural network model will certainly promote the development of informatization of power project costs management.

The Quantified Evaluation Method of Project Test Based on Multi-Computing

With the rapid development of power industry in recent years, the grid information technology and intelligent building is also ongoing a fast growth which brings more pilot projects and integrated projects. Because of the growing number and types of projects, it is increasingly difficult to evaluate whether the project can meet customer needs, whether the contractor is capable to undertake the projects and whether the projects are suitable for the integration of construction. This paper analyzed on the basis of the characteristics of power grid projects, combined with the basic flow of software project test and proposes a project test quantification evaluation method of project test based on multi-computing. This method achieves the quantitative appraisal of projects, selecting the best project contractor and improving the quality of the project completion through test case scores quantification and multi-computing test scores.

Flue-gas desulphurisation products from Polish coal-fired power-plants

Many desulphurisation installations were constructed in the Polish power industry in recent years, so SO 2 emissions were reduced by a half to 1.04×10 6 tonnes in 2000, while SO 2 capture increased to 43.7% in 2000. FGD gypsum, obtained by the most important wet-limestone desulphurisation method, is recognised as a substitute for natural gypsum. Its production in Poland started in 1994, and amounted to 1.1×10 6 tonnes in 2000. It is currently fully used in gypsum binders, plasters and plasterboard manufacture, as well as an additive in the production of Portland cement. Other FGD materials—obtained in dry and semi-dry methods of desulphurisation—have variable phase and chemical compositions, so they do not find industrial applications and are mainly stockpiled in underground mines or open pits. The sulphate-calcium ashes from an AFBC process will probably be used in the cement industry simultaneously as a pozzolanic additive and setting-time regulator, provided that their compositions are constant. Their total supply amounted to ca. 1.5×10 6 tonnes in 2000, but within 5 years, it should achieve 4.0×10 6 tonnes.

Do diminishing marginal returns apply to DSM?

Despite the tremendous growth in DSM investment by the U.S. electric power industry in recent years, some advocates are pushing for even more. But would more be better? Would it be cost effective? Not necessarily.