To accommodate the increasing electric vehicle (EV) penetration in distribution grid, coordinated EV charging has been extensively studied literature. However, most of existing works optimistically consider rate as a continuous variable and implicitly ignore capacity limitation transformers, which both have great impact on efficiency stability practical grid operation. Towards more realistic setting, this paper formulates discrete problem two successive binary programs. The first one is...

A battery charging station (BCS) is a facility that supplies electric energy for recharging vehicles' depleted batteries (DBs). BCS has certain number of bays and maintains dynamic inventory fully charged (FBs). This paper studies scheduling (BCSS) problem whose target to schedule the processes such cost minimized while satisfying FB demand. Specifically, BCSS two types operations: 1) loading DBs into then unloading them when they are 2) controlling rate each bay. We formulate as...

To handle the mismatch problem between local demand and generation in microgrids (MGs), paradigm of peer-to-peer (P2P) energy sharing among neighboring MGs has been considered as a promising solution for improving utilization distributed resources saving bills all MGs. Existing works on cooperative usually consider high-level trading strategies but little about physical constraints (e.g. voltage tolerance power flow constraints) underlying distribution network. Hence, their solutions may not...

Motivated by the urgent demand for electric vehicle (EV) fast refueling technologies, battery swapping and charging stations (BSCSs) are envisioned as a promising solution to provide timely EV services. However, inappropriate operation in BSCSs cannot only incur unnecessary high cost but also threaten reliability of power grid. In this paper, we aim at obtaining an optimal policy single BSCS minimize its while ensuring quality-of-service. Leveraging novel queueing network model, propose...

This paper presents the system integration and hierarchical control implementation in an inverter-based Microgrid Research Laboratory (MGRL) at Aalborg University, Denmark. MGRL aims to provide a flexible experimental platform for comprehensive studies of microgrids. The structure laboratory, including facilities, configurations, communication network, is first introduced. complete based on generic scheme primary, secondary, tertiary control. Primary loops are developed implemented digital...

This paper proposes a control strategy for plug-in electric vehicle (PEV) fast charging station (FCS) equipped with flywheel energy storage system (FESS). The main role of the FESS is not to compromise predefined profile PEV battery during provision hysteresis-type active power ancillary service overhead system. In that sense, when being extracted from grid, an provides required sustain continuous process battery. A key characteristic whole it able work without any digital communication...

The past decades have witnessed an explosive growth of the Internet Things (IoT) services requiring intensive computation resources. conventional IoT devices, however, are usually equipped with very limited resources, which results in degraded quality experience when executing resource-hungry applications. Mobile edge computing (MEC), enables smart terminals (STs) to offload parts their workloads servers located at cellular base stations (BSs), has provided a promising approach address this...

This study proposes a multi-objective optimization model for an Aircraft Flight Scheduling Problem (AFSP) assigning set of aircraft located at different airports to conduct all flight trips. The proposed features each trip with its own special type and fuzzy time. Moreover, small being covered by larger one is fully accounted in the model. can effectively reduce number achieve minimum total idle time adjacent trips aircraft. A novel heuristic algorithm based on Non-dominated Sorting Genetic...

This paper develops a novel optimization method oriented to the resilience of multiple Unmanned Aerial Vehicle (multi-UAV) formations achieve rapid and accurate reconfiguration under random attacks. First, metric is applied reflect effect rapidity multi-UAV formation resisting Second, an model based on parameter problem maximize system established. Third, Adaptive Learning-based Pigeon-Inspired Optimization (ALPIO) algorithm designed optimize value. Finally, typical topologies with six UAVs...

In this paper, a kind of zero-crossing distortion (ZCD) generated in the grid-connected current single-phase inverter with unipolar hysteresis control is investigated. By establishing mathematical model around points (ZCPs), reason for causing ZCD presented. It ascribed to slope actual less than that reference one ZCPs. The expressions critical phase angle (the starting point ZCD) and amplitude corresponding parameters connected utility grid are obtained, solution based on on-line leading...

Next generation power management at all scales is highly relying on the efficient scheduling and operation of different energy sources to maximize efficiency utility. The ability schedule modulate storage options within systems can also lead more use generating units. This optimal planning strategy becomes increasingly important for off-grid that operate independently main utility, such as microgrids or marine vessels. work extends principles economic dispatch problems shipboard where some...

The Internet-of-Things (IoT) platform is faced with critical challenges posed by the conflict between resource-hungry IoT applications and resource-constrained devices. Mobile-edge computing provides a promising solution allowing devices to offload their computation nearby edge servers enable fast energy-efficient data processing. In this article, we study scenario, where two users (IoT devices) workloads an server hybrid nonorthogonal multiple access (NOMA)-orthogonal (OMA) transmission....

Electric Vehicle (EV) drivers have an urgent demand for fast battery refueling methods long distance trip and emergency drive. A well-planned swapping station (BSS) network can be a promising solution to offer timely services. However, inappropriate recharging process in the BSS may not only violate stabilization of power grid by their large consumption, but also increase charging cost from operators' point view. In this paper, we aim obtain optimal policy minimize while ensuring quality...

Electric Vehicle (EV) charging stations with battery swapping, as one promising energy supplement solution to cope the increasing in EVs, demand a theoretical performance analysis framework. In this paper, we propose queueing network model serve such framework for swapping locally-charging mode. The is mixed an open queue of EVs and closed batteries. Based on mild assumptions, show equilibrium equations system, steady-state distribution these finite equations. order uniqueness solution,...

In this article, we consider a parking lot that manages the charging processes of its parked electric vehicles (EVs). Upon arrival, each EV requests certain amount energy. This request should be fulfilled before EV's departure. It is critical importance to coordinate EVs' rates smooth out load profile because inappropriate can lead sharp spikes and fluctuations on profile, imposing negative effects power grid. Meanwhile, empirical studies show many lots exhibit statistical patterns dynamics....