Vehicular networks are facing the challenges to support ubiquitous connections and high quality of service for numerous vehicles. To address these issues, mobile edge computing (MEC) is explored as a promising technology in vehicular by employing resources at wireless access networks. In this paper, we study efficient task offloading schemes The vehicles perform time selection, communication, resource allocations optimally, mobility maximum latency tasks considered. minimize system costs,...

Vehicle-to-grid (V2G) technology enables bidirectional energy flow between electric vehicles (EVs) and power grid, which provides flexible demand response management (DRM) for the reliability of smart grid. EV mobility is a unique inherent feature V2G system. However, inter-relationship DRM not obvious. In this paper, we focus on exploration to impact in systems We first present dynamic complex network model mobile networks, considering fact that EVs travel across multiple districts, hence...

This article proposes a cooperative energy market model for an active Distribution Network (DN) by using the theory of Generalized Nash Bargaining (GNB). The proposed has three types participants: DN operator, buyers, and sellers. Two trading manners are allowed at same time: 1) each buyers/sellers trades with operator; 2) buyers sellers trade in Peer-to-Peer (P2P) manner pay network usage fees to operator. In market, operator actively manages voltage reactive power (Volt-VAR) via...

Recently, plug-in hybrid electric vehicles (PHEVs) have attracted considerable attention as a sustainable transport system and also an essential component of the smart grid. With rapid growth PHEVs penetration, charging discharging will pose significant impact on residential electricity distribution network. For this reason, management PHEV has become one key issues in research PHEVs. In most existing work, are supposed to operate individually for However, we argue that, by leveraging...

In green cities, one of the most promising energy system designs is multi-energy system, which capable integrating different resources to supply stable for users. To schedule diverse efficiently, trading among entities a big issue in systems. This paper proposes auction mechanisms smart district, district manager sells electricity, natural gas, and heating users meanwhile trades with outer networks. Two are designed under day-ahead real-time markets, respectively. For each auction,...

Research on the smart grid is being given enormous supports worldwide due to its great significance in solving environmental and energy crises. Electric vehicles (EVs), which are powered by clean energy, adopted increasingly year year. It predictable that huge charge load caused high EV penetration will have a considerable impact reliability of grid. Therefore, fair scheduling for discharge proposed this paper. By using vehicle-to-grid technology, scheduler controls electricity loads EVs...

This paper proposes a combinatorial auction approach for multi-resource allocation of an energy storage (ES) shared by multiple electricity end users in residential community. Through the auction, user buys group ES resources, including capacity, energy, charging power, and discharging from operator. With store grid during low-electricity-price hours, so that they can consume cheap stored high-electricity-price hours to reduce their bills. In submit resource demands corresponding bid prices,...

This paper proposes an online control approach for real-time energy management of distributed storage (ES) sharing. A new ES sharing scenario is considered, in which the capacities physical ESs (PESs) are reallocated to users, so that each user manages its own virtual (VES) without knowing detailed operations PESs. To optimize system real time, algorithm developed based on Lyapunov optimization framework. The advantage it makes decisions only realization current states, having predict future...

This paper proposes a topology-aware vehicle-to-grid (V2G) energy trading mechanism that uses charging/discharging powers of electric vehicles (EVs) to regulate voltage deviations an active distribution system. To incentivize EVs trade energy, auction theory is employed guarantee three economic properties: 1) truthfulness; 2) individual rationality; and 3) social cost minimization. The designed according the topology system, in which multiple microgrids (MGs) are networked through network...

As the next-generation power grid, smart grid will be integrated with a variety of novel communication technologies to support explosive data traffic and diverse requirements quality service (QoS). Cognitive radio (CR), which has favorable ability improve spectrum utilization, provides an efficient reliable solution for communications networks. In this paper, we study QoS differential scheduling problem in CR-based The scheduler is responsible managing resources arranging transmissions users...

Energy Internet is a vision of future power systems, which will achieve highly efficient interconnection among various types energy resources, storage, and loads, enable P2P delivery on large scale. To enhance the flexibility efficiency Internet, this article employs methodology SDN in proposes an SDEI architecture. In SDEI, control, data, planes are separated. The control plane dynamically reconfigures data achieves flexible cooperation between them. We then focus applying approach to...

Demand response (DR) plays a significant role in enhancing the reliability of future smart grids. Electric vehicles (EVs) can be exploited to facilitate DR because their batteries, as form flexible energy storage, controlled consume from or feed back grid depending on user needs. However, EVs' mobility is inherently probabilistic, which presents challenge for system stability particularly. This paper analyzes mobile EVs participate. Using methodology dynamical complex networks, we present...

Energy hub integrates various energy conversion and storage technologies, which can yield complementarity among multiple provide consumers with stable services, such as electricity, heating, cooling. This enables to be an ideal system design for smart green buildings. paper proposes a distributed auction mechanism multi-energy scheduling of that serves numbers building users. In the auction, users first submit their demand data manager. Then, manager allocates via optimization based on...

Metaverse as the next-generation Internet provides users with physical-virtual world interactions. To improve quality of immersive experience, access to service providers (MSPs) and purchase bandwidth resource reduce communication latency services. The MSPs decide selling price maximize revenue. This leads a joint user association pricing problem between all MSPs. tackle problem, we formulate Stackelberg game where are leaders followers. We resolve equilibrium via distributed centralized...

With the advancement in battery technology and rise of on-board computing capabilities, electric vehicles (EVs) can serve as both energy prosumers nodes. The mobility EVs allows them to perform wide-area multi-resource exchange electricity networks edge networks. We call such a paradigm an Electric Vehicle Charging Computing Network (EVCCN). It is considered that EVCCN composed multiple charging stations (CCSs) different locations. Each CCS integrates EV chargers server, offering interfaces...

Being important information of both network conditions and energy trading, distribution locational marginal prices (DLMPs) are greatly useful for (DN) management. The goal this paper is to develop a market mechanism that motivates price-making agents trade active reactive power at DLMPs. According the optimal flow problem based on second-order cone (SOC) relaxation, we first design rules allow strategically submit proposals price generation/consumption. induce noncooperative game between DN...

This paper studies optimal day-ahead scheduling of grid-connected batteries that simultaneously provide three services: 1) load shifting, 2) real-time balancing, and 3) primary frequency control (PFC). The uncertainties are incorporated in the cost-minimizing problem via chance constraints. resulting chance-constrained is then reformulated into a mixed-integer second-order cone program (MISOCP) can be solved by commercial solvers. However, it computationally formidable to obtain globally...

Metaverse enables users to communicate, collaborate and socialize with each other through their digital avatars. Due the spatio-temporal characteristics, co-located are served well by performing software components in a collaborative manner such that service provider (MSP) eliminates redundant data transmission processing, ultimately reducing total energy consumption. The energy-efficient provision is crucial for enabling green sustainable Metaverse. In this article, we take an augmented...