DC transmission technology, which plays an important role in connecting AC grids, can transmit power asynchronously under long-distance and large-capacity conditions. protection devices and controlsystem of the DC tr...
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As the density of additional ultra-high voltage alternating current and direct current transmission lines in China increases, so does the passive interference from transmission lines to various types of equipment. At ...
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In the process of smart city construction, each city has its characteristics, so we should implement policies according to the city. smart energy is an important cornerstone of smart city construction. This paper prop...
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This paper overcomes the shortcomings of the traditional Risk assessment method of Risk Priority Number (RPN). The evaluation process is established by combining the Technique for Order Preference by Similarity to an ...
This paper overcomes the shortcomings of the traditional Risk assessment method of Risk Priority Number (RPN). The evaluation process is established by combining the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) with the cloud model theory. And applied to solve the DC charger failure mode risk assessment, analysis and determination of DC charger key failure mode and failure mechanism. Firstly, the expert assessment information of DC charger fault mode was converted into a cloud model, and then the risk assessment index and expert weight of risk assessment were calculated. Finally, the TOPSIS method was used to determine the risk priority of the fault mode, and the failure mechanism of the high-priority fault mode was analyzed to determine the failure physical model.
Addressing the issue of renewable energy integration caused by large-scale wind power grid connection, a novel electric power system distributed robust joint chance-constrained (DRJCC) optimization dispatch model inco...
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ISBN:
(数字)9798350365573
ISBN:
(纸本)9798350365580
Addressing the issue of renewable energy integration caused by large-scale wind power grid connection, a novel electric power system distributed robust joint chance-constrained (DRJCC) optimization dispatch model incorporating captive power plants with virtual energy storage (VES), wind, thermal, and hydropower units is proposed. Initially, considering that high-energy-consuming enterprises' self-provided power plants (SPPPs) can accept the unified dispatch of the public grid, three operational modes for the SPPPs as VES participating in the main grid interaction and their call costs are presented, and a two-stage stochastic optimization model for the new power system including VES is constructed. Subsequently, a data-driven DRJCC approach is utilized to address the uncertainty in wind output, constructing a fuzzy set of probability distributions for uncertain variables based on the Wasserstein distance, and expanding the original stochastic optimization model to a W-DRJCC optimization model. Further, by applying strong duality theory, Bonferroni inequality, and Conditional Value-at-Risk (CVaR) approximation, the proposed distributed robust model is transformed into a mixed-integer linear programming problem for solution. Finally, case analyses on an improved RTS-24 power system demonstrate that the proposed method can balance economic efficiency and robustness, offering significant insights for the construction of operational modes for enterprises' SPPPs to participate in grid interaction.
Power semiconductor devices are the essential core components of modern power electronic equipment. Predicting the remaining useful life (RUL) of power semiconductor devices can help formulate reasonable maintenance s...
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Light gas protection only operates when gas within the transformer collection chamber reaches threshold volume. Such criterion failed to reflect transformer conditions accurately due to the lack of understanding for d...
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With the wide application of power semiconductor devices in severe working conditions, the reliability and lifetime estimation of power semiconductor devices have become the research hotspot. Power cycling test is a s...
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The high proportion of renewable energy into the power grid, say, the large-scale wind power generation connected to the power grid, is the key approach to achieve the clean and low-carbon energy transition. Under the...
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To effectively reduce the impact of complex and severe faults on the power grid, an online verification and optimization decision-making system for emergency disposal of power grid faults has been designed. Firstly, s...
To effectively reduce the impact of complex and severe faults on the power grid, an online verification and optimization decision-making system for emergency disposal of power grid faults has been designed. Firstly, standardize the modeling of traditional fault emergency disposal and extract the typical structure, constituent elements, and organizational approach of fault emergency disposal. A general description method for fault emergency disposal has been established to achieve structured and modular processing of data. Then, based on the actual fault handling process of the power grid and the priority of handling multiple types of safety and stability issues, the effectiveness of adjustment measures, disposal speed of control measures, control costs, and other constraints are comprehensively considered. Calculate specific control measures, control areas, and control quantities based on the stage of fault disposal. Translate rough handling points into specific control measures and suggestions to achieve online verification and optimization decision-making for fault emergency disposal. Finally, the practicality of the system is verified through an example in the article.
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