In power system operation, the economic dispatch problem (EDP) aims to minimize total generation cost while meeting demand and satisfying generator capacity limits. This paper proposes an algorithm based on gradient push-sum method solve EDP in a distributed manner over communication networks potentially with time-varying topologies delays. shows that proposed is guaranteed if directed network uniformly jointly strongly connected. Moreover, also able handle arbitrarily large but bounded...

Demand response and energy storage play a profound role in the smart grid. The focus of this paper is to evaluate benefits coordinating flexible loads provide power grid end user services. We present generalized battery model (GBM) describe flexibility building storage. An optimization-based approach proposed characterize parameters (power limits) GBM for loads. then develop optimal coordination algorithms services such as arbitrage, frequency regulation, spinning reserve, well cost demand...

Based on the analysis of characteristics and operation status process industry, as well development global intelligent manufacturing a new mode for namely, deep integration industrial artificial intelligence Industrial Internet with is proposed. This paper analyzes existing three-tier structure which consists enterprise resource planning, execution system, control examines decision-making, control, management adopted by enterprises. this analysis, it then describes meaning an framework...

Real-time and personalized lithium-ion battery health management is conducive to safety improvement for end-users. However, prognostic of the status still challenging due diverse usage interests, dynamic operational patterns limited historical data. We generate a comprehensive dataset consisting 77 commercial cells (77 discharge protocols) with over 140 000 charge–discharge cycles—the largest our knowledge its kind, develop transfer learning framework realize real-time prediction unseen...

With the increasing penetration of renewable energy and flexible loads in smart grids, a more complicated power system with high uncertainty is gradually formed, which brings about great challenges to grid operations. Traditional optimization methods usually require accurate mathematical models parameters cannot deal well growing complexity uncertainty. Fortunately, widespread popularity advanced meters makes it possible for collect massive data, offers opportunities data-driven artificial...

Abstract We use a high‐gain methodology to construct linear decentralized controllers for consensus, in networks with identical but general multi‐input time‐invariant (LTI) agents and quite‐general time‐varying observation topologies. Copyright © 2010 John Wiley & Sons, Ltd.

In this paper, we consider the output synchronization problem for heterogeneous networks of right-invertible linear agents. We assume that all agents are introspective, meaning they have access to their own local measurements. Under assumption, then propose a decentralized control scheme solving set network topologies. The proposed can also be applied solve formation with arbitrary vectors. regulation problem, where each agent has track an priori specified reference trajectory, generated by...

Most algorithms for distributed averaging only guarantee asymptotic convergence. This paper introduces a protocol that allows nodes to find the exact average of initial values in finite and minimum number steps on interconnection topologies described by strongly connected directed graphs (digraphs). More specifically, under assumption each component has knowledge its outgoing links (i.e., components which it sends information), we show value can be computed based local observations over time...

This paper presents minimum-time consensus-based distributed algorithms for power system applications, such as load shedding and economic dispatch. The proposed are capable of solving these problems in a minimum number time steps instead asymptotically most the existing studies. Moreover, applicable to both undirected directed communication networks. Simulation results used validate algorithms.

In this paper, we propose a fully distributed algorithm for second-order continuous-time multi-agent systems to solve the optimization problem. The global objective function is sum of private cost functions associated with individual agents and interaction between described by weighted undirected graph. We show exponential convergence proposed if underlying graph connected, each locally gradient-Lipschitz-continuous, restricted strongly convex respect minimizer. Moreover, reduce overall need...

State of health (SOH) estimation lithium-ion batteries (LIBs) is critical importance for battery management systems (BMSs) electronic devices. An accurate SOH still a challenging problem limited by diverse usage conditions between training and testing LIBs. To tackle this problem, article proposes transfer learning-based method personalized new battery. More specifically, convolutional neural network (CNN) combined with an improved domain adaptation used to construct model, where the CNN...

This article is concerned with the fast and accurate trajectory tracking control problem for a sort of underactuated surface vehicle under model uncertainties environmental disturbances. A novel neural networks (NNs)-based prescribed performance strategy proposed to solve problem. In design, new type function constructed which provides way predefine settling time accuracy, straightforward. Then, pair barrier functions are employed combat not only position error but also virtual input. evades...

In this article, we investigate the distributed cooperative optimization problem for heterogeneous uncertain high-order nonlinear multi-agent systems with an intermittent communication network, where each agent can only share information its neighbors in some disjoint time intervals. To address problem, design process consists of constructing a algorithm and designing decentralized tracking controller. algorithm, virtual signals are constructed all agents to minimize cost function under...

This article studies bipartite consensus of multiagent systems (MASs) with input saturation and denial-of-service (DoS) attacks over weighted directed networks. First, a distributed control protocol is proposed by using low-gain technology to address the constraint. Then, an estimator introduced design dynamic event-triggered communication protocol, which avoids continuous between agents. In addition, sufficient conditions for realizing security are obtained under insecure networks DoS...

In this paper, a facile and efficient photocatalytic system for tetracycline hydrochloride (TCH) degradation is proposed. Ce-doped Bi2WO6 (Ce–Bi2WO6) nanosheets rich in oxygen vacancies were synthesized using simple hydrothermal method systematically characterized. The results exhibited that 10% Ce–Bi2WO6 (BWCe-10) catalyst with thinner curling was vacancies, the band gap narrowed from 2.78 eV (Bi2WO6) to 1.61 eV, which conducive enhancing activity of BWCe-10. As expected, BWCe-10 much...

The availability of synchro-phasor data has raised the possibility a linear state estimator if inputs are only complex currents and voltages there enough such measurements to meet observability redundancy requirements. Moreover, new digital substations can perform some computation at substation itself resulting in more accurate two-level estimator. main contribution this paper is that processing removes bad topology errors, which major problems today, level. In Part I paper, we describe...