This paper investigates the issues of day-ahead and real-time cooperative energy management for multienergy systems formed by many bodies. To address these issues, we propose an event-triggered-based distributed algorithm with some desirable features, namely, execution, asynchronous communication, independent calculation. First, body, seen as both supplier customer, is introduced system model development. On this basis, bodies cooperate each other to achieve objective maximizing social...

In this paper, a novel energy management framework for Internet with many bodies is presented, which features multicoupling of different forms, diversified roles, and peer-to-peer supply/demand, etc. The body as an integrated unit, may have various functionalities play multiple roles at the same time, formulated system model development. Forecasting errors, confidence intervals, penalty factor are also taken into account to renewable resources provide tradeoff between optimality possibility....

The islanded and network-connected modes are expected to be modeled into a unified form as well in distributed fashion for multi-energy system. In this way, the adaptability flexibility of system can enhanced. To aim, paper establishes double-mode energy management model It is formed by many bodies. With such model, each participant able adaptively respond change mode switching. Furthermore, novel dynamic event-triggered Newton-Raphson algorithm proposed solve problem fully fashion. method,...

The droop control is an advantageous approach for stand-alone supply systems consisting of multiple batteries, allowing among various inverters without intercommunication. coefficients batteries always vary with their state-of-charge (SoC) and charge/discharge mode, resulting in small-signal instability. Nevertheless, the existing impedance-based approaches can only assess stability point, but not region. Therefore, this article proposes a region analysis approach. First, SoC-based...

Distributed algorithms are increasingly being used to solve the economic dispatch problem of integrated energy systems (IESs) because their high flexibility and strong robustness, but those also bring more risk cyber-attacks in IESs. To this problem, article investigates distributed robust IESs under cyber-attacks. First, as first line defense against attacks, a privacy-preserving protocol is designed for covering up some vital information On basis, strategy presented achieve management...

For the integrated energy system (IES) formed by a cluster of hubs (EHs), outputs EHs and parameters, which greatly influence security performance, should be properly adjusted. In this article, an event-triggered distributed hybrid control scheme is proposed to achieve economic operation for IES. First, EH output designed based on features networks as well containment consensus algorithms. According outputs, electricity heat load power can accurately shared without knowing network...

The development of low-carbon power systems has not only elevated the investment costs enterprises, but also generated a vast amount electricity data. data trading holds promising potential as primary means to cover costs. However, there is lack research on trading. To address this issue, article designs an method based price game and blockchain for systems. It encompasses framework corresponding mechanism. proposed contains providers, consumers, blockchain-based information system that...

As the number of ships docking at ports and using onshore power grows, there is a pressing need for efficient economic dispatch within port microgrid (PMG). The computing network (CPN) leverages ubiquitous resources, presenting new opportunities handling complex tasks, such as problem (EDP) more efficiently. However, integrating CPNs into PMGs raises significant concerns about data security privacy. To address these issues, this article proposes distributed prescribed-time optimization...

The dynamic gas flow model with static electric-driven compressor (EDC) has been widely studied in coordinated analysis of integrated electricity-gas system (IEGS). However, as a crucial coupling unit, the boost characteristics EDC change dynamically state, which may lead to unstable operation mode and then affect safe operating IEGS. Meanwhile, its nonlinear greatly increases difficulty analysis. This paper proposes reduced-order transfer function that considers EDCs for an accurate...

This paper investigates the economic dispatch problem of microgrids in a distributed fashion. To address this issue, delay-free-based algorithm is presented to optimally assign whole energy demand among local generation units with objective minimizing agminated operation cost. By implementing proposed algorithm, each component can find its own optimal operations by only requiring computation and communication. As result, it enhances system robustness, flexibility, privacy, etc. More...

This article investigates the problem of distributed cooperative energy management multiple bodies with consideration both optimal generation/consumption each participant within single body and distribution on interconnected lines between any pair bodies. First, we define physical communication structure system formed by many bodies, which is viewed as a multienergy prosumer. Then, model proposed to achieve not only maximum profits overall generation consumption, but also minimum cost...

This paper aims at developing a data-driven optimal control strategy for virtual synchronous generator (VSG) in the scenario where no expert knowledge or requirement system model is available. Firstly, and adaptive problem VSG transformed into reinforcement learning task. Specifically, variables, i.e., inertia damping factor, are defined as actions. Meanwhile, active power output, angular frequency its derivative considered observations. Moreover, reward mechanism designed based on three...

This paper investigates the residential energy management problems in power-heat-coupling system. For better solving this issue, based on novel concept of We-Energy (WE) for Internet (EI), proposes a WE (R-WE) framework faced by terminal users who play an important role renewable consumption. Inspired full-duplex feature R-WE, power and heat supply-demand balance constraints are fulfilled regional unit EI, but it may be inequality corresponding consumer, producer, or operation modes only one...

With the new feature of multi-energy coupling and advancement energy market, Energy Internet (EI) has higher requirements for efficiency applicability integrated response. This paper proposes an indirect transaction (IMET) to promote collaborative optimization in local market (LEM) improve utilization through personalized responses from We-Energies (WEs). Firstly, customer-to-customer is modeled which can satisfy privacy, preference autonomy users. The matching be promoted participation...

This article proposes a multienergy trading market model based on price matching, aiming to foster collaboration and enhance energy utilization through individual participation. With the ongoing advancements in distribution marketization, Internet necessitates improved applicability efficiency for personalized responses. To address these requirements, is proposed, which enables avoidance of user information disclosure guarantees autonomy. In addition, joint mechanism designed that accounts...

With the development of technologies deployed on vehicles, there is a significant increase in amount data, which comes from various applications, such as battery management, VR, autopilot, etc. However, privacy critical obstacle to utilizing information since many vehicle-based applications involve locations, conversations, driving behaviors, Federated Learning (FL) promising technology perfect for filling gap, it keeps users' data their devices, gives rise Vehicular Networks (FVN). As...

Unlike conventional power systems, the upcoming energy internet (EI) emphasizes comprehensive utilization of in whole system by coordinating multi-microgrids, which also brings new challenge for management. To address this issue, paper proposes a novel consensus-based distributed approach based on multi-agent framework to solve management problem internet, only requires local information exchange among neighboring agents. Correspondingly, two consensus algorithms are presented, one drives...

This paper investigates the issue of power management networked ac-dc microgrids (MGs) interconnected by interlinking converters with consideration unbalanced single-/three-phase ac MGs as well quality improvement. An integrated hierarchical distributed coordinated control approach is developed, which mainly consists an up-layer event-triggered method sharing among MGs, and dynamic flow routing to navigate phases balance MG. With proposed method, balanced output phase powers for three-phase...

As a typical cyber-physical system, multi-energy system is easier to suffer from the denial of service (DoS) attacks, which brings huge risks for effective execution distributed energy management algorithms. To address this issue, paper studies collaborative problem under DoS where optimal operation each hub and trading path among hubs are taken into account simultaneously. enhance robustness, resilient double-gradient-descent based strategy proposed, designed by establishing multiple...

With the development of autonomous and supply-production-sale integrated We-Energy (WeE), Energy Internet performs a fully distributed structure, fluctuation power injections cannot be neglected. This article investigates an energy management problem with operation security constraints for WeE-based in way. Firstly, considering complex caused by high flexibility strong robustness WeE, steady-state voltage region (SVSR) WeE is established. The excursion index proposed to quantify margin...

Telematics technology development offers vehicles a range of intelligent and convenient functions, including navigation mapping services, driving assistance, traffic management. However, since these functions deal with sensitive information like vehicle location habits, it is crucial to address concerns regarding security privacy protection. Federated learning (FL) highly suitable for addressing such problems due its characteristics, in which client does not need share private data upload...

Machine learning techniques have been extensively developed in the field of electricity theft detection. However, almost all typical models primarily rely on consumption data to identify fraudulent users, often neglecting other pertinent household information such as gas data. This article aims explore untapped potential data, a critical yet overlooked factor In particular, we perform theoretical, qualitative, and quantitative correlation analyses between Then, propose two model-agnostic...

The integrated energy system (IES) combined electric power grid, natural gas network (NGN) and district heating (DHN) is widely concerned because of its high efficiency environmentally friendly. accurate flow calculation IES the key to simulation analysis, operation optimization control. This paper studies dynamic considering different time-scale among power, heat networks. Firstly, a discretization method based on delay characteristics pipelines for DHN proposed. By using this method,...