The maximum power point tracking (MPPT) control in photovoltaic (PV) system will cause large amounts of inter-harmonics, which can lead to forced oscillation when the frequencies of inter-harmonics are close to the we...
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A new energy system that is safe, low-carbon and clean is the goal of energy transformation. In recent years, Shandong Province has continued to promote the green transformation of energy, and has taken a series of me...
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The main challenge of 3D plane segmentation is to distinguish different planes, and for the density clustering method DBSCAN, the method is invalid if the density is uniform among the planes. To address this shortcomi...
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In order to ensure the stability of the operating condition of the belt grain conveyor under the scenario of changing operating conditions, adaptive control of the driving force is extremely necessary, and for this re...
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To tackle the challenge of redundant information transmission affecting the utilization of network resources in contemporary power systems, this study introduces an advanced event-triggered approach employing particle...
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Energy scheduling is the key to achieve energy optimization and efficiency improvement. This study focuses on residential areas, focusing on dispatch able loads (e.g., smart air conditioners, lighting systems) and non...
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In the modeling of wireless power transfer systems, traditional modeling approaches often result in high-order models. In order to obtain a simplified model that can explain the input-output relationship of the system...
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There exist long-standing requirements of energy saving and stable operation for fuel cell ship power system. In this paper, a rule-optimization fusion energy management method based on the discrimination of ship oper...
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In order to solve the shortcomings of the traditional constant step incremental conductance method in both speed and accuracy, an improved variable step incremental conductance method is proposed. The simulation resul...
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Smart grid incorporates the communication networking that enables the exchange of information among the monitoring and controlling devices. Such incorporation of the communication networking into the electricity grid ...
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ISBN:
(纸本)9798350371635;9798350371628
Smart grid incorporates the communication networking that enables the exchange of information among the monitoring and controlling devices. Such incorporation of the communication networking into the electricity grid infrastructure poses the risk of cyberattacks that target the critical assets within such an infrastructure. Most of the existing research focuses on the detection of such cyberattacks but without identifying the type of the attacks. This can result in overlooked threats and misdirected the necessary countermeasures. Recognizing the attack's type is essential for timely responses and strategic planning against future threats, thereby enhancing the resilience of the smart grid. In this paper, a Fine Tree Bagging-based Ensemble Learning (FTBE) technique is proposed to detect and classify the different types of cyberattacks and power quality disturbances. The salient features of the attacks' types are highlighted, which helps in identifying the types of the attack following the detection process.
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