Machine learning related research in transient control has drawn considerable attention with the rapid increase data measurement from power grids. Two key components, algorithm and system structure, work together to determine performance. The design of laws, selection phase units, allocation resources, scheduling communication topology limited cyber-physical resources need be considered. Many existing or planning schemes specialized for structure are designed based on various linearized...

In the framework of sustainable development and environmental preservation, this research aims to improve stability frost resistance sulfate saline soil by utilizing industrial solid waste. Geopolymer materials containing fly ash (FA) activated different NaOH concentrations were studied for study on stabilized with soil, used ranged from 0.1 0.9. This investigates impact molar concentration number freeze-thaw cycles microstructure strength incorporating FA geopolymer. The XRD, FTIR, TG...

Aggregated electrical vehicles (EVs) can flexibly serve grid frequency regulation (FR) with adjustable FR capacity (FRC) via vehicle-to-grid (V2G) technology. Therefore, current research applies integral reinforcement learning (IRL) to as it easily solve difficult modeling and optimization problems. However, communication between EVs is vulnerable denial of service (DoS) attacks, which significantly degrade performance even destabilize V2G systems. This paper proposes an adaptive FRC-based...

The latest developments in vehicle-to-grid (V2G) technology enable electric vehicles (EVs) to participate frequency regulation (FR), reducing the impact of uncertain power fluctuations highly penetrated renewable resources. However, performance FR is threatened by cyber attacks that compromise control communications. Considering denial service (DoS) on EV communications, this paper proposes a resilient scheme via adaptive V2G capacity-based integral sliding mode (ISMC). proposed utilizes...

In recent years, V2G techniques have been successfully implemented to stabilize frequency deviations in the grid caused by intermittent renewable energy sources. However, battery capacity constraints and real-time dynamic driving demands of electric vehicles (EVs) systems hinder coordination between control power plant strategies. It leads asymmetry regulation up (RU) down (RD) (FR) system, which can affect performance FR. To cope with this problem, paper proposes a switched integral...

This paper suggests a novel dynamic protection/control scheme with unified power flow controller (UPFC) to prevent transmission system overload. A transient energy function (TEF)-based model predictive control (MPC) methodology is developed reduce cost and enhance grid resilience. First, TEF an associated of UPFCs are constructed based on ac over-current tripping model. Then the derived constraint for MPC exploits non-positive time derivative accommodated admittance, which optimally...

In control systems of power grids, conveying observations to controllers and obtaining outputs depend greatly on communication computation resources. Particularly for large-scale systems, the costs (cyber costs) should not be neglected. This paper proposes a self-triggered frequency system grid reduce costs. An equation triggering time is derived, an approximation method proposed cost time. addition, measured quantitatively proportionally. The defined function considers both physical...

In order to accurately predict the primary frequency modulation capability of power system when deviation occurs, a method for predicting performance based on improved neural network with thought evolution algorithm (MEA) is presented. Nine-dimensional parameters, such as before and after disturbance, backup capacity, load level, mechanical electrical power, are selected input eigenvalues, output change curve. This paper takes CEPRI36v8 an example simulation, obtains curve by setting shear...

With the rapid growth of distributed energy sources, power grid has become a flexible and complex networked control system. However, it increases chances being denial-of-service attack, which degrades performance grid, even causing cascading failures. To mitigate negative effects from attack enhance reliability we propose system structure based optimization scheme that is derived Stackelberg game model for frequency regulation with sources. In proposed model, both attacker designer as...

With the increase in complexity and informatization of power grids, new challenges, such as access to a large number distributed energy sources cyber attacks on grid control systems, are brought load-frequency control. As methods, both aggregated (ADES) artificial intelligence techniques provide flexible solution strategies mitigate frequency deviation grids. This paper proposes strategy ADES-based reinforcement learning under consideration reducing impact denial service (DoS) attacks....

Lustre has been widely used in mass storage systems. Its performance study also increasingly widely. During the analyzing of lustre system, this paper proposes several important factors which can influence system performance. From test results we find that: according to different application, network transmission medium, strip numbers and client a very high price for configuration.

In cloud computing, data is duplicated to prevent loss. One way achieve consistency in such a distributed computing systems use blockchain. Based on practical Byzantine fault tolerance (PBFT), specific type of blockchain, this paper proposes synchronous (SBFT) algorithm that not only maintains consistency, but also has much higher efficiency than other general blockchain algorithms. We provide experimental results demonstrate the algorithm's efficiency, and reliability.