This paper examines the path of new energy development in China against the backdrop of carbon maximum and carbon neutralization, and studies the risk of large scale new energypower transmission. In order to solve th...
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A distributed stochastic power flow algorithm for distribution network based on inter-region scenario equivalence is proposed for the problem that the power injection of each node needs to be simulated with a large nu...
A distributed stochastic power flow algorithm for distribution network based on inter-region scenario equivalence is proposed for the problem that the power injection of each node needs to be simulated with a large number of samples in the distribution network stochastic power flow algorithm, thus causing low computational efficiency. Firstly, the distribution network is divided into a backbone region and several sub-regions according to its radial structure characteristics, and the sampled power samples are partitioned; secondly, based on the inter-region power flow coupling relationship, the inter-region power flow action is replaced with the effect on the boundary quantity; then, a scenario equivalence method is proposed to merge the power scenarios that cause the same boundary injected power and boundary voltage. Finally, a distributed algorithm for distribution network stochastic currents is designed, and each region can complete the distributed solution of distribution network stochastic currents through the exchange of boundary equivalence scenario information and internal calculation, and the accuracy and effectiveness of the proposed method in reducing time are verified in the IEEE123 node system calculation example.
A defective insulator detection method based on improved You Only Look Once version 4 (YOLOv4) is proposed to improve the precision of defective insulator detection. This method designs a dual-branch attention block b...
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A precise and reliable proton exchange membrane fuel cell (PEMFC) parameter identification performs an essential function in simulation analysis, optimal control, and performance research of actual PEMFC systems. Unfo...
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A precise and reliable proton exchange membrane fuel cell (PEMFC) parameter identification performs an essential function in simulation analysis, optimal control, and performance research of actual PEMFC systems. Unfortunately, achieving an accurate, efficient, and stable parameter identification can sometimes be problematic for traditional optimization methods, owing to its strong coupling, inherent nonlinear, and multi-variable characteristics. Therefore, an advanced bald eagle search (BES) algorithm is designed to dependably identify the unknown parameters of the electrochemical PEMFC model in this work. For evaluating and analyzing the overall optimization performance of the BES comprehensively, it is compared with the genetic algorithm (GA) based on MATLAB under three cases. According to the simulation results, the optimum root mean square error (RMSE) achieved by BES is 96.27% less than that achieved by GA in parameter identification, which fully indicates that the precision, accuracy, and stability of the optimization results can be remarkably improved via the application of BES.
This paper establishes a dynamic multi-level game model based on multiple stakeholders such as microgrid, power grid, and users. Delineating the market functions of energy storage, considering the full life cycle inve...
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DC grid based on half-bridge modular multilevel converters (HB-MMC) is a feasible means to realize the friendly grid connection of renewableenergy. To solve the problems such as high cost and technical difficulty of ...
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Accompanied by energy structure transformation and the depletion of fossil fuels, large-scale distributed power sources and electric vehicles are accessed to distribution network that result in the load peak-valley ga...
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Under the background of the increasing proportion of new energypower generation, the mismatch of “source-load” occurs between regions. To effectively improve the utilization rate of peaking resources and increase t...
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ISBN:
(数字)9798350309638
ISBN:
(纸本)9798350309645
Under the background of the increasing proportion of new energypower generation, the mismatch of “source-load” occurs between regions. To effectively improve the utilization rate of peaking resources and increase the amount of “source-load” matching, this paper proposes the optimal scheduling of multiregional peaking resources considering network currents. The strategy takes into account the impact of wind power penetration rate on the demand for peaking resources and connects the regions with different peaking characteristics using contact lines. It evaluates and iterates the peaking resources of each region in each time period and finds the optimal amount of peaking resources and the optimal output of thermal power units in each region. Through simulation, the results show that the proposed strategy effectively improves wind power consumption and system operation economy.
Antenna is widely used in wireless communication equipment, which is developing towards miniaturization and high frequency. The application of fractal theory in antenna design can make the antenna more miniaturized an...
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This paper proposes an economic analysis method for distributed energy storage applications in distribution networks, and constructs a visual simulation platform. Firstly, the influence of photovoltaic / wind power fl...
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