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This paper proposes a novel approach to integrate plugged-in electric vehicles (PEVs), electric vehicle supply equipments (EVSEs), and smart grid (SG) infrastructure using state of the art software-defined network (SDN) technology, which has a potential to provide unprecedented flexibility to smart grid communication network. We further present set-cardinality based search algorithms for assigning...
Plug-in hybrid electric vehicles charging management as well as billing solutions may be the most important challenges in the coming years. In this paper, a comprehensive management strategy (CMS) for plug-in hybrid electric vehicles (PHEV) using national smart metering program in Iran (called FAHAM) is proposed. The proposed strategy considers PHEVs charging management and billing solutions as well...
Because of various developments in communications and technologies, each residential consumer has been enabled to contribute in Demand Response Programs (DRPs), manage its electrical usage and reduce its cost by using a Household Energy Management (HEM) system. An operational HEM model is investigated to find the minimum consumer's cost in every DRP and to guarantee the end-user's satisfaction, as...
We focus in this paper on energy management strategies for mobile network, equipped with battery storage capacity as well as local energy production capability, and powered by a smart grid. At each time instant, the mobile network operator has to decide whether to operate its network based on its own energy resources or the smart grid ones, with a possibility to sell energy to the smart grid as well...
Photovoltaic-assisted charging station (PVCS) is expected to be one of the important charging facilities for serving electric vehicles (EVs). In this paper, a type of solid-state transformer (SST) is introduced to the PVCS design and an autonomous energy management strategy (EMS) for SST is proposed. This study aims to develop an effective real-time EMS for PVCS participating in ancillary service...
Plug-in hybrid electric vehicles (PHEVs) are considered as a promising solution to resolve global warming. In order to assess the impact of PHEV’s charging on distribution systems, their demand needs to be accurately predicted, especially for planning and operation studies. In this paper, a Monte Carlobased algorithm is proposed for PHEV demand modeling. Home arrival time, traveled distance, and home...
This paper presents a Multi Agent System (MAS) framework applied to achieve energy management in a multiple micro grids systems. Each micro grid consists of photovoltaic arrays (PVs), batteries as a storage units and different types of loads. The PV output power and the various load power consumption patterns change in hourly basis. The micro grid can be operated in grid connected mode in normal mode...
Household load hiding is a customer-oriented approach to avoid possible privacy leakage from electricity-consumption data reported by smart meters. The basic idea is that customers can actively distort their consumption profile using energy storage devices. In this paper, we propose a practical design framework for an electric vehicle (EV)-assisted battery load hiding method to improve privacy as...
Integration of electric vehicles (EVs) into existing power system can be carried out smoothly and efficiently using coordinated/smart charging. Time based coordination and power based coordination are the two strategies available for coordinated charging methods. Both the charging strategies operate the EV chargers at different operating power and hence the overall all charging efficiency differ from...
This paper proposes a bilevel programming model to day-ahead electricity tariff optimization in smart grids to balance grid-level demand and supply at all times. In this Stackelberg game approach, the leader is the grid operator, who aims to set the tariff to ensure the balance of supply and demand. The followers are groups of consumers, who, in response to the observed tariff, schedule their controllable...
Thanks to the various advantages over conventional cars, autonomous vehicles (AVs) will take a more important role in the future transportation system. Since AVs are typically electric vehicles (EVs), they can contribute to vehicle-to-grid (V2G) services. While it is generally not feasible to dictate EV routes, we can design AV travel plans to fulfill certain system-wide objectives. In this paper,...
We propose to control a local electricity grid, a "microgrid", in a decentralized fashion to reduce energy costs by coordinating the generation and consumption decisions made by the individual Distributed Energy Resources (DERs) composing the system. Our control scheme relies on the so-called Alternative Direction Method of Multipliers or ADMM, the essentials of which we summarize in the...
The penetration level of the renewable energy resources (RER), such as wind power turbines and solar photovoltaic generation, in interconnected power systems has been increased in many countries. A high penetration level of RERs causes some problems to the grid operator, e.g., lack in primary reserve. Due to environmental concern and energy security risk, many countries around the world decided to...
The objective of this work is to develop a reliable, sustainable and adaptive architecture to implement the energy decisions in a complex networked ecosystem for power production by Renewable Energy Sources (RES). To achieve this objective, the modelling of the involved systems is discussed in order to identify the requirements for energy management in dynamic and distributed environments. Also this...
Demand side management is often envisioned as a promising technique to reduce peak loads, and match local generation and consumption in the future smart grid. To exploit flexibility offered by smart appliances, a methodology is required to steer the appliances towards better utilization of the grid. As conventional grid reinforcements are very costly, the main objective is often peak shaving to reduce...
This work presents mathematical model of batteries AGM lead acid type that form part of a photovoltaic generating system. The proposed model allows estimation of the voltage of the battery and the state of charge with the objective of designing a controller to create greater duration, efficiency and autonomy of the system. Additionally, we present a mathematical model to estimate the useful life of...
This paper presents an experimental control strategy of electric vehicle charging system composed of photovoltaic (PV) array, converters, power grid emulator and programmable DC electronic load that represents Li-ion battery emulator. The designed system can supply the battery at the same time as PV energy production. The applied control strategy aims to extract maximum power from PV array and manages...
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