The problem of high resistance grounding fault detection in resonant grounding system is always the pain point and difficulty in the field of powersystem research. To solve the problem, based on PSCAD software, this ...
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ISBN:
(数字)9781728117225
ISBN:
(纸本)9781728117232
The problem of high resistance grounding fault detection in resonant grounding system is always the pain point and difficulty in the field of powersystem research. To solve the problem, based on PSCAD software, this paper firstly establishes a typical distribution system model, and analyzes the relationship between the transient component, traveling wave component and the fault initial angle, transition resistance value and arc. Secondly, this paper analyzes the effect of the main fault detection methods such as transient methods and travelling wave method, and gives the effective domain of different detection methods. Above analysis establishes a complete systematic test scheme for the high resistance grounding fault detection, and provides an effective test support for the subsequent effectual fault detection method for high resistance grounding fault.
This paper investigates a consensus-based nodal pricing mechanism for incenting automated demand response in the deregulated market environment. These small-scale customers are autonomously managed by automated demand...
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ISBN:
(数字)9781728143033
ISBN:
(纸本)9781728143040
This paper investigates a consensus-based nodal pricing mechanism for incenting automated demand response in the deregulated market environment. These small-scale customers are autonomously managed by automated demand response (DR) controllers, which are capable of scheduling user's load devices to follow a day-ahead 24h price signal from electricity distribution companies (EDC). First, an alternating current optimal power flow (ACOPF) on the distribution network is formulated considering the participation of automated DR. Then, a consensusbased approach is exploited to adjust the nodal price and DR profile for each customer using primal-dual decomposition. The proposed mechanism is compared with a day-ahead pricing (DAP) program on a test distribution network and numerical results have shown promising performance in supporting the congestion management on the distribution grid.
Lithium-ion batteries have the advantages of high energy density, fast power response, recyclability, and convenient to movement, which are unsurpassed by other energy storage systems. However, safety issues such as t...
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ISBN:
(数字)9781728191645
ISBN:
(纸本)9781728191652
Lithium-ion batteries have the advantages of high energy density, fast power response, recyclability, and convenient to movement, which are unsurpassed by other energy storage systems. However, safety issues such as thermal runaway of lithium-ion batteries have become the main bottlenecks restricting the development of their extensive applications. In practical applications, the demand for battery energy storage scale and specific energy continues to increase, and the contradiction between battery high safety and battery safety has become increasingly prominent. This paper proposes a lithium-ion battery safety risk assessment method based on online information. Effective predictions are essiential to avoid irreversible damage to the battery and ensure the safe operation of the battery energy storage system before a failure occurs. This paper is expected to provide novel risk assessment method and research idea for the development and design of high-safety battery systems.
The non-inverting buck boost (NIBB) converter has attracted significant attention in recent years, as it shares ground between input and output, and the voltage stress of switches is lower. In order to investigate the...
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Vulnerability assessment is the key to the security and stability analysis of powersystem. During the operation of power grid, the fault risk of electrical equipment is not fixed because of the influence of system op...
Vulnerability assessment is the key to the security and stability analysis of powersystem. During the operation of power grid, the fault risk of electrical equipment is not fixed because of the influence of system operating conditions, operating environment and equipment itself, so the vulnerability of powersystem will also be changeable. Based on the existing research results of complex network theory, a vulnerability assessment method considering operational reliability is proposed in this paper. Firstly, the basic idea of reliability weighted vulnerability assessment is introduced. Then HITS algorithm and PageRank algorithm will be used to analyze the basic vulnerability of power grid topology. Moreover, the vulnerability index of power grid considering reliability weighted is calculated. Finally, numerical analysis focusing on the difference between basic and improved assessment method is tested in IEEE RTS-79 system, and the preventive planning suggestions will be given based on the vulnerability assessment results.
The integrated Energy system (IES) becomes very important nowadays, however, the coupling between multiple energy systems will bring new challenges to the security control of the IES, such as combined heat and power (...
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As an important performance index of the UAV Ad hoc network, network reliability is a great significance for the performance evaluation of the UAV network system, and provides a direction for the selection of the UAVs...
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Detecting PV system faults in a timely fashion is important to ensure the safe operation of equipment and reduce their impact on the economy of the PV systems. It is necessary to further improve the time-sensitive per...
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Detecting PV system faults in a timely fashion is important to ensure the safe operation of equipment and reduce their impact on the economy of the PV systems. It is necessary to further improve the time-sensitive performance evaluation of the system. However, the hourly weather scenario segmentations are seldom considered during the hour-level online monitoring process. Therefore, a hybrid method based on unsupervised hourly weather status pattern recognition and blending fitting model is proposed for hourly fault detection to improve the performance evaluation of PV systems. The proposed solution includes three parts, firstly, in the data preprocessing stage, the measured power with the errors and noise under normal operation situation caused by the environment changes is corrected by monthly linear fitting. Secondly, an unsupervised hourly weather status pattern recognition method is constructed using the measured radiation data, including unsupervised clustering and the Multiclass-GBDT-LR classification process. Finally, after eliminating the anomalies and errors, the blending fitting model of the hourly sub-weather status is established. Through the analysis of power plants in Australia and China, the proposed solutions are validated and evaluated to be superior to existing data-driven solutions in terms of fitting accuracy, detection validity, and response time. Numerical results of case studies indicate that the developed methodology under sub-weather has improved the detection accuracy up to 97.71% and 99.29% compared to benchmark models.
Traveling wave method has been proved to be effective in fault line selection of power distribution system with the neutral non-effectively grounded. However, it can be easily disturbed by non-faulty traveling wave wh...
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ISBN:
(数字)9781728117225
ISBN:
(纸本)9781728117232
Traveling wave method has been proved to be effective in fault line selection of power distribution system with the neutral non-effectively grounded. However, it can be easily disturbed by non-faulty traveling wave when selecting the line. For this reason, this paper proposes a new traveling wave line selection method based on sparse representation, in which current traveling wave signals are measured for the selection task. The algorithm of selection is based on the idea that all non-zero terms in the sparse coefficients of the measured signal are found to be associated with training samples from a single class, and the test samples can be easily assigned to the class. This makes it possible to distinguish between the non-faulty traveling wave and the real fault traveling wave.
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