Due to the abundant marine resources, smart ocean has attracted much attention of government, industry, and academy. The Internet-of-Things (IoT) architectures for have been proposed collect various data from ocean, thereby assisting environmental protection, military reconnaissance, so on. However, few researchers paid security privacy issues collection transmission. In this article, unreliable underwater environment, we present a secure, efficient, complete collection, transmission storage...

To tackle the challenges associated with variability and uncertainty in distributed power generation, as well complexities of solving high-dimensional energy management mathematical models mi-crogrid optimization, a microgrid optimization method is proposed based on an improved soft actor-critic algorithm. In method, algorithm employs entropy-based objective function to encourage target exploration without assigning signifi-cantly higher probabilities any part action space, which can...

Non-intrusive load monitoring (NILM) can obtain fine-grained electricity consumption information of each appliance by analyzing the voltage and current data measured at a single point on bus, which is great significance for promoting improving efficiency sustainability power grid enhancing energy users. NILM mainly includes collection preprocessing, event detection, feature extraction, identification. One most critical steps in signature basis all algorithms to achieve good state detection...

With the rapid development of microgrids with distributed generations (DGs) and energy storage system (ESS), it is important to study management methods improve operation economy microgrids. However, there currently a lack research on microgrid's models including multi-party groups such as wind turbines, photovoltaics ESS. This paper proposed an trading method based Stackelberg game real-time pricing mechanism, which can solve more complex optimization problem First, rolling was carried out...

The demand for fine-grained perception of electricity usage information in the new power system is continuously increasing, making it a challenge to address potential unauthorized data access while ensuring channel security. This paper addresses privacy systems requiring efficient source-load interactions by introducing novel compression synchronous encryption algorithm within compressed sensing framework. Our proposed uses ternary Logistic-Tent chaotic generating measurement matrix,...

Due to the increasing availability of new energy sources, adaptability traditional fault analysis and calculation methods has declined when applied distribution networks. The reason is that ideal voltage source model cannot accurately reflect impact from main grid side on Moreover, existing fail consider influence both network simultaneously, resulting in relatively large errors inaccurate characteristics. To address above problems, this paper first studies control strategy current output...

Internet of Medical Things (IoMT) technologies significantly improve the quality health care, especially at time when COVID-19 is becoming a worldwide pandemic. Due to complexity devices and user nodes in IoMT system, there should be some ways ensure security service or information. Decentralized trust management techniques are efficient means promoting application reliability these cases. However, majority currently utilized access control schemes cannot applied decentralized systems...

As the next generation of information and communication infrastructure, Internet Things (IoT) enables many advanced applications such as smart healthcare, grid, home, so on, which provide most flexibility convenience in our daily life. However, pervasive security privacy issues are also increasing IoT. For instance, an attacker can get health condition a patient via analyzing real-time records healthcare application. Therefore, it is very important for users to protect their private data. In...

The purpose is to realize the decentralized microgrid economic dispatch, improve information transparency and security of systems, make power grid move towards a clean, safe, efficient, reliable development path. Deep learning optimization dispatch wireless transmission based on blockchain technology are studied. First, related theories methods transmission, deep introduced. Next, simulated analyzed large scale. Finally, comparison results between common radio energy technologies analyzed....

In the context of vigorously developing new energy sources, economic dispatch(ED) active distribution network (ADN) is essential. Due to single fault affecting global and high communication cost in centralized scheduling, we propose a distributed gradient method, namely fast Nesterov accelerated method(FNAGM), which can solve dispatch problem(EDP) ADN. The architecture does not need collect information only uses sparse complete exchanges. It that protect users' private reduce pressure. By...

The distribution network is a crucial component of the power system as it directly connects to users and serves purpose distributing balancing load. With integration new energy sources through distributed generation (DG), has undergone transformation from single radial into complex multi-source network. Consequently, traditional fault location methods have proven inadequate in this structure. Therefore, focus paper investigate techniques specifically tailored for DG networks. This analyzes...

A virtual synchronous generator (VSG) is prone to transient instability under a grid fault, which leads the loss of synchronization between new energy converter and grid, threatens operation safety high-proportion grids. There are variety control models in existing VSG control, including active reactive power models, lead their different stabilities. However, evolution characteristics, correlation VSG, internal mechanism affecting stability have not been fully studied. To this effect, paper...

The existing continuation power flow (CPF) methods, which mainly focus on regional independent systems, are not suitable for multi-area interconnected bulk systems in the electricity market environment. These CPF models cannot simulate control behaviors of active/reactive exchange among subsystems, and corresponding algorithms satisfy requirements data sharing. This study presents a novel model its distributed algorithm influence is considered. method has following unique features: 1)...

Aiming at the problems of poor reliability and low accuracy when a single switching quantity information or electrical is used to judge faults power grid, an intelligent fault diagnosis method grid based on multi-source feature fusion quantities y proposed in this paper. The electric characteristics are extracted from line, busbar transformer recorders, circuit breaker protection action outlet. Petri net production rules generated by combining quantities, neural model established using...

Most receiver designs for asynchronous DS-CDMA systems exploit timing information to simultaneously detect the desired signal and suppress multiple access interference (MAI). An ESPRIT delay estimation algorithm is proposed which required no initial exhaustive search of delays, estimators can thus be used both acquisition tracking. The estimate results have been compared a previously derived approximation simulation data. new approach appears provide improved accuracy.