Xiu Ji's research while affiliated with Changchun University of Technology and other places
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Publications (53)
Rapid socio-economic development has also brought about problems such as resource depletion and ecological and environmental pollution. Electricity is the most important form of energy supply for human beings, and its production and use are undergoing fundamental changes. This thesis conducts an in-depth study on the source-load interaction schedul...
In view of the current operating constraints and environmental pollution problems of traditional units, in this article, oxygen-rich combustion capture technology is introduced to transform gas-fired units, demand response technology is used on the load side, the energy conversion equipment such as power-to-gas equipment is combined to form an inte...
Timely and accurate fault location in active distribution networks is of vital importance to ensure the reliability of power grid operation. However, existing intelligent algorithms applied in fault location of active distribution networks possess slow convergence speed and low accuracy, hindering the construction of new power systems. In this pape...
Under the “carbon peak and carbon neutrality” goal, the construction of an efficient, low-carbon, and economical energy supply system is of great significance for advancing a dual carbon strategy. In allusion to the integrated energy systems (IES) with hydrogen energy coupling, a hydrogen energy coupling IES low-carbon optimization operation strate...
In order to further reduce the carbon emission level of the integrated energy system and improve the system operation economy, a low-carbon economic dispatch strategy for the integrated energy system considering comprehensive demand response is proposed. First, based on the composition and operating characteristics of the integrated energy system,...
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With the continuous infusion of renewable energy sources, smart buildings have evolved from single-load characteristics into dual characteristics with both electric energy production and consumption capability. Concurrently, the peak and off-peak periods of electricity consumption are influenced by climatic factors, which leads to complexity and de...
The concept of carbon stream emissions analysis of energy networks has brought a new research direction for low-carbon power. It is an urgent problem to solve the distribution of carbon stream emissions in the energy network accurately and systematically according to the results of power flow calculation. Using the carbon stream emissions theory, t...
To address the issues of fuzzy scene details, reduced definition, and poor visibility in images captured under non-uniform lighting conditions, this paper presents an algorithm for effectively enhancing such images. Firstly, an adaptive color balance method is employed to address the color differences in low-light images, ensuring a more uniform co...
In order to promote energy mutual aid among microgrids, expand the types of energy interaction, and improve the utilization of renewable energy, a two-layer sharing strategy for multi-microgrids (MMGs) based on the Nash game is proposed. Firstly, the low-carbon transformation of the micro-grid model is carried out, and the source side is transforme...
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In order to solve the problem of energy consumption, improve the efficiency
of energy utilization and develop new energy, the total energy consumption
and fluctuation of thermal integrated energy were analyzed. Four
suggestions are put forward for the integrated power system of flexible
thermal power plant, namely, electric heat storage system, ele...
The large-scale integration of new energy into the grid in the future will have an impact on the dispatching operation of the power grid. As a potential controllable resource, a controllable load is gradually being tapped, and the application of virtual power plants and artificial intelligence provides a solution. It can effectively perform resourc...
Under the “double carbon” goal, distributed generation (DG) with inverters will show an explosive growth trend. The microgrid can operate in different modes as a channel for DG to connect to the main grid. In the microgrid, the fast response characteristics of power electronics exacerbate the instability of the microgrid when switching between grid...
In the future, the large-scale participation of renewable energy in electricity market bidding is an inevitable trend. In order to describe the Nash equilibrium effect and market power between renewable energy and traditional power generators in the tacit competition in the electricity market, a bidding strategy based on deep reinforcement learning...
In view of the large fluctuations in the output of photovoltaic microgrids, large energy storage capacity is required to solve the problem of stabilizing the load. In order to reduce energy storage investment costs, considering the energy storage characteristics of V2G, the range of decision variables, the constraints of power balance requirements...
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In the future, large-scale integration of new energy into the grid is an inevitable trend. In order to effectively analyze the trend and random characteristics of wind power output, a wind power scenario simulation method is proposed. It is divided into scene generation and scene reduction. In the scenario generation part, historical data is used t...
![Sample caption (Fig. 2, [25]).](publication/355881418/figure/fig5/AS:11431281253527397@1718918447879/Sample-caption-Fig2-25_Q320.jpg)
Three-dimensional (3D) registration plays a pivotal step in augmented reality (AR) systems. Traditional 3D registration methods have the disadvantages of poor accuracy and robustness. This paper proposes a novel registration method, we believe, for AR systems based on the AKAZE and Tanimoto similarity measurement method. In this paper, the image fe...
In order to accurately grasp the trend of power load changes and provide guidance for stable and efficient operation of the power system, this paper proposes a Chaos-GA-BP power load forecasting model based on rough sets. First, screen the main factors that affect power load changes, remove redundant data, and optimize the input of the prediction m...
Aiming at the shortcomings of the current image-based fault identification algorithm for hydropower station equipment, such as low efficiency and poor accuracy, an improved image matching algorithm based on AKAZE, T-AKAZE was proposed. In this paper, AKAZE algorithm is firstly used to obtain image feature points. Then, the improved algorithm T-AKAZ...
In spread spectrum induced polarization (SSIP) data
processing, attenuation of background noise from the observed data is the
essential step that improves the signal-to-noise ratio (SNR) of SSIP data.
The time-domain spectral induced polarization based on pseudorandom
sequence (TSIP) algorithm has been proposed to improve the SNR of these
data. How...
In electrical exploration techniques, an effective suppression method for Gaussian and impulsive random noise in spread spectrum induced polarization (SSIP) continues to be challenging for conventional denoising methods. Remnant noise influences the complex resistivity spectrum and damages the subsequent interpretation of geophysical surveys. We pr...
A novel optical-transmission rear mounted augmented reality head-up display, which can be used to improve the safety of a driving vehicle, is introduced and investigated in this paper. The proposed system uses an off-axis free-form mirror that serves as asymmetric aberration corrector. The off-axis aberration of the system is analyzed and the mirro...
As a clean and renewable energy source, solar energy has the advantages of inexhaustible, pure and pollution-free. Photovoltaic power generation is different from traditional thermal power generation in that it is more susceptible to external environmental factors. In addition, there are a large number of power electronic devices in the entire syst...
In spread spectrum induced polarization (SSIP) data processing, attenuation of background noise from the observed data is the essential step that improves the signal-to-noise ratio (SNR) of SSIP data. The traditional correlation identification (TCI) algorithm has been proposed to improve the SNR of these data. However, signal processing in backgrou...
Citations
... At the same time, the proposed model can also solve the energy interaction among cool, heat and electricity. In this way, the optimal operation of the integrated energy system can be realized [6]. ...
... Ref. [27] It improves the brightness and contrast of nonuniform illumination images. Keep more details of highlighted areas. ...
... In Reference [18], carbon emission and green certificate trading were introduced to establish a multi-microgrid cooperative transaction model, focusing on the coupling of energy and carbon. A double-layer electric heating and sharing model of multi-microgrids was constructed, and the carbon trading mechanism was introduced by Reference [19]. Reference [20] proposed a local power-and carbon-trading method for interconnecting multi-energy microgrids, introducing a carbon trading mechanism, and Reference [21] established a multi-microgrids collaborative operation model, in which the ladder carbon trading mechanism was considered. ...
... During the transition of a microgrid from islanded to grid-connected operations, it is essential to smoothly adjust the electrical quantities on both sides of the grid connection switch [14][15][16][17]. Parameters related to this process need a ention and control, with voltage and frequency being focal points. ...
... The algorithm is depicted in Figure 1 and is described in steps 1-5 in the text. 34,35 The following are the FAST algorithm feature point detection steps: ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/11431281091445631-1666446202018_Q64/Huamin-Yang.jpg)
... This kind of algorithm has good robustness and fast matching speed, but the Gaussian kernel convolution operation will lead to the loss of edge information of the image, which seriously affects the stability of feature points and descriptors. The main algorithms that use nonlinear filtering function to construct scale space include the KAZE algorithm (Khalid et al., 2021;Liu J.-B. et al., 2021;Roy et al., 2022), AKAZE algorithm (Sharma and Jain, 2020;Ji et al., 2021;Pei et al., 2021;Yan et al., 2021), etc. The scale space constructed by the nonlinear filtering function can better protect the information at the edge of the image and increase the robustness of the matching algorithm. ...
... After the detection of feature points, it is still necessary to describe the detected feature points. The AKAZE algorithm proposes an Modified Local Difference Binary (M-LDB) algorithm based on LDB [19], which perfectly achieves rotation invariance and scale invariance, as shown in Figure 3, and the proposed M-LDB binary test between the LDB and the mesh division around a key point, showing that the intensity and gradient in x M-LDB includes scale-dependent rotations and subsampling. ...
... In recent years, the complex resistivity method has become a highly discussed topic. 27 This method realizes high-density measurements in the frequency domain and space domain over a relatively wide frequency range and has the characteristics of obtaining more electrical parameters and geoelectric information than other geophysical methods. 28 In particular, compared with the direct current method, this method reflects the influence of frequency on the polarization of the dielectric and can optimize the electrical characteristics of the characteristic frequency points of the dielectric. ...
... Augmented reality (AR) display, which is capable of superimposing virtual images on real environment, has attracted significant attention in education, healthcare, military, entertainment, and other fields [1][2][3]. As an important optical element in AR display, optical combiner plays a critical role in the system, which has been realized through several methods including beam splitting prisms [4], free-form surface combination lenses [5], off-axis optics [6] and optical waveguides [7]. Liquid crystal (LC)-based Pancharatnam-Berry phase lens (PBL), as a planar diffractive optical element with desired phase distribution from spatially varied LC director orientation, has been implemented as optical combiner of in various AR display architecture due to intrinsic features of high diffraction efficiency, strong polarization dependency, high optical quality, and small form factor [8][9][10][11][12][13][14][15]. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/570210710634496-1512960235167_Q64/Yang-Liu-216.jpg)
... The problem of improving the electric power quality in power supply systems (PSS) supplied from traction substations is relevant for the contemporary transport power engineering [1,2]. One of the most effective ways to solve it in the PSS of on-site facilities supplied from the district windings of 6-10-35 kV traction transformers is in the use of smart grid technologies, an important segment of which are automatically controlled distributed generation (DG) plants connected near the power consumers [3,4]. ...
