Residential microgrid is widely considered as a new paradigm of the home energy management system. The complexity Microgrid Energy Scheduling (MES) increasing with integration Electric Vehicles (EVs) and Renewable Generations (RGs). Moreover, it challenging to determine optimal scheduling strategies guarantee efficiency market balance all participants’ benefits. In this paper, Multi-Agent Reinforcement Learning (MARL) approach for residential MES proposed promote autonomy fairness operation....

The inconsistency in state-of-charge (SOC) for electric vehicle batteries will cause component damage and lifespan reduction of batteries. Meanwhile, the consistency state-of-health (SOH) also negatively influences consensus SOC. To ensure consensuses SOC SOH simultaneously, this paper introduces an innovative distributed optimal Kalman filter (KCF) approach to battery management systems. In addition, at stage where sensors transmit information each other, a new event-triggering mechanism...

An efficient energy management system (EMS) enhances microgrid performance in terms of stability, safety, and economy. Traditional centralized or decentralized systems are unable to meet the increasing demands for autonomous decision-making, privacy protection, global optimization, rapid collaboration simultaneously. This paper proposes a hierarchical multi-layer EMS microgrid, comprising supply layer, demand neutral scheduling layer. Additionally, common mathematical optimization methods...

Variable stiffness actuators (VSAs) can effectively protect humans in case of an accidental collision owing to the adjustable compliance. This paper proposes a variable radius approach develop actuator with large range based on antagonism principle. Unlike traditional antagonistic VSAs, control and position are decoupled, adjustment is achieved through simultaneous regulation spring joint radius. Specifically, by using configuration mechanism (VCM). A quadratic constructed pulley (VRP)....

Abstract This work proposes the framework of dual dynamic triggers to deal with communication problem remote control under event‐triggered scheme for network systems (NCSs). Compared existing NCSs, a local controller is set up at plant site, which provides input as controller. The and measurement have their individual triggers. Thus it allowed that permit asynchronous communication, governed by different event conditions. It proven proposed strategy can drive closed‐loop system...

As the increasing willingness of electric users to actively participate in power scheduling and pursue self-interest, management optimization residential microgrid confront higher requirements balance tradeoff between overall operational objectives individual rights; resolve influence various uncertainties. Therefore, a multiagent reinforcement learning (MARL) approach is proposed this paper for auction-based market. Distributed model-free used each supplier user make reasonable market...

The rate-distortion optimized quantization (RDOQ) provides an excellent trade-off between rate and distortion in High Efficiency Video Coding (HEVC), leading to inspiring improvement terms of performance. However, its heavy use imposes high complexity on the encoder real-world video compression applications. In this paper, we provide a comprehensive review low techniques HEVC, including both fast RDOQ all-zero block detection. particular, relies models for cost estimation, such that most...

Combined cooling, heating and power (CCHP) microgrid, which facilitates the cascade utilization supply demand coordination of multi-energy, has become a crucial paradigm for implementing energy Internet architecture. Nevertheless, high uncertainties from DGs flexible loads, as well complex multi-energy flow coupling, make problem microgrid scheduling elusive to establish precise models optimize strategies. Therefore, model-free policy gradient-based deep reinforcement learning (DRL) approach...

Knowledge Graph Alignment (KGA) aims to integrate knowledge from multiple sources address the limitations of individual Graphs (KGs) in terms coverage and depth. However, current KGA models fall short achieving a ``complete'' graph alignment. Existing primarily emphasize linkage cross-graph entities but overlook aligning relations across KGs, thereby providing only partial solution KGA. The semantic correlations embedded are largely overlooked, potentially restricting comprehensive...

Community microgrid is a kind of new power system that acts as an intermediary between community consumers and the grid, playing important role in realising distributed autonomy improving supply level. To achieve optimal dispatch microgrid, this paper establishes Stackelberg game model with operator (CMO) leader aggregator follower, combines internal pricing method demand response mechanism. The uses combination genetic algorithm solver to solve maximise interests all parties. Simulation...

Developing a clean and efficient Integrated Energy System (IES) is critical to optimizing the use of renewable energy sources harnessing new forms achieve country's 2030 carbon peak 2060 neutrality targets. Existing natural gas pipelines in China facilitate transport hydrogen blended into network offer possibility storing pipelines. This paper proposes an optimal integrated dispatch strategy based on electricity-gas-hydrogen-heat-cooling demand, taking account emissions economic efficiency,...

A battery pack with many cells may gradually lose performance, causing uneven state-of-charge (SOC) and degradation. All batteries must have the same SOC in order to achieve equilibrium. We will also take into account how each cell's output power demand are balanced. In this study, SOCs of various capacities balanced using a management system (BMS) context an electric car pack, as well supply delay battery. The outcomes idea shown use example.

This paper presents a fault-tolerant control with fixed time convergence for class of robot manipulators over uncertainties, external disturbances and actuator faults. We design disturbance observer to estimate reject the disturbance. Moreover, based on observer, we propose sliding mode method considered uncertain manipulators. Finally, show numerical example illustrate effectiveness proposed method.

Linear segment features contains rich geometric information and it is crucial to perform accurate linear detection. We propose a temporal line detector based on subanchor point combination approach, which gives more results without adjusting the parameters. The speed remains essentially same as fastest running detectors (EDLines) existing 89’ faster compared conventional LSD extraction algorithm. proposed algorithm introduces bilateral filtering methods EDLines. filter used after image input...

Abstract In this paper, the power constraints of battery energy storage systems(BESS) are considered by designing a cooperative consensus algorithm utilizing Soc containment control. For batteries different capacities, and balancing can be achieved under undirected topology The distributed event-triggered mechanism is adopted to reduce communication time consumption resources. last section, effectiveness stability designed control strategy verified MATLAB simulation.

In this work, the feasibility of electromagnetic wiping technology in hot-dip galvanizing process steel wire ropes is analyzed theory and experiment. A method zinc layer passing rope by traveling wave magnetic field proposed. The application actual effective force are considered. effect voltage, voltage frequency load resistance devices on magnitude investigated, with other factors held constant. theoretical experimental study helps to solve problem productivity hot-degree provides support...

At the microgrid secondary control level, distributed event triggering is widely studied to improve system efficiency, but general schemes are continuous state domain. The majority of algorithms used in current systems, particularly system-level algorithms, implemented using digital controllers and communication discrete time. For this reason, paper proposes a event-triggered strategy based on sampled data at level for frequency recovery power sharing islanded microgrids. Unlike existing...