1,721,093 research outputs found
Optimal Charging Strategy for EVs with Batteries at Different States of Health
The electric vehicle (EV) is targeted as an efficient method of decreasing CO2 emission and reducing dependence on fossil fuel. Compared with filling up the internal combustion engine (ICE) vehicle, the EV power charging time is usually long. However,to the best of our knowledge, the current charging strategy does not consider the battery state of health (SOH). It is noted that a high charging current rate may damage the battery life. Motivated by this, an optimal charging strategy is proposed in the present paper, providing several optimal charging options taking into account the EV battery health, trying to prevent ‘abused battery utilization’ happening
A Smart Grid Modelling Tool for Evaluating Optimal Control of Electric Vehicles
The deployment of Electric Vehicles (EVs) is continuously increasing on a global scale due to governmental commitments to ensure energy security, decarbonisation and address environmental concerns, by phasing out Internal Combustion Engine (ICE) vehicles. However, if charging is not appropriately controlled, massive EV penetration can lead to significant challenges for local distribution systems. In this context, this paper presents a new extensive tool, based on a Matlab/Simulink platform, to model distribution networks and analyse the impacts of charging of EVs, generation from local Renewable Energy Sources (RES) and the use of smart grid technologies to mitigate these impacts. The tool models the geographical locations of the distribution substations and the nodes where local loads, RES and EV charges may be connected. It allows the user to study the operational framework of current and future distribution networks and enables techno-economic assessment to be made. The modelling tool simulates the daily basis operation of any low-voltage (LV) distribution grid, considering the interaction with both consumers and local RES. This is done by evaluating key system performance measures, such as nodal voltages, line currents and transformer overloading. A user-friendly Graphical User Interface (GUI) facilitates the flexible management of the input parameters. The tool was applied to analyse an existing UK LV distribution network, to demonstrate the feasibility of smart charging and V2G (Vehicle to Grid) technology and the advantages over uncontrolled charging. This paper presents the outline of the modelling tool and the results of investigation of the different scenarios considered in this research
Techno-economic Evaluation of Micro Energy Market and Strategies for Decentralised Control
Viene prima fatta un'analisi di mercato sui sistemi PV e batterie. Poi vengono presentati alcuni scenari in cui diversi controlli delle batterie vengono ottimizzati real time con un rolling window e una rete neurale. Un micro mercato dell'energia viene implementato per consentire il commercio peer-to-peer in una rete di distribuzione. Un micro mercato del bilanciamento ha invece lo scopo di bilanciare il sistema. Infine viene effettuata una valutazione tecnico-economica per gli stakeholders.ope
Development of a Smart Grid Modelling Tool, considering optimal control of Electric Vehicles
The thesis project aims to create a novel tool, based on a Matlab/Simulink platform, able to model distribution networks and analyse the impact of EV charging, renewable energy generation and the adoption of smart grid technologies. The tool is managed through a user-friendly GUI (Graphic User Interface). It depicts a geographical representation and perform a techno-economic assessment of the modelled system, considering different EV charging strategies. It has been applied on a real case studyope
Editorial special issue: Holistic transition of urban systems towards positive and resilient energy areas incorporating renewable energy generation
The transition of existing cities towards low carbon areas is a challenging task. The planning of energy systems on short and medium time scales is a major concern for decision makers. The analysis of possibilities and directions for urban development should focus on the integration of renewable energy sources within urban boundaries, considering their structure, location, availability, possibility for grid support, and their integration with energy storage systems and electric vehicles. This special issue presents the original results obtained by researchers focusing on various challenges of transition of urban systems towards positive and resilient energy areas with renewable energy sources
Power electronics application in distribution networks
Power electronic controllers are extensively used at different levels of power networks. Whilst the rapid growth in using power electronic equipment have revolutionised many electrical systems, it has also resulted in some negative effects (e.g. harmonics and voltage distortion). This has resulted in an increased concern about the quality of supply for both utilities and consumers. The talk provides an overview of current and future trends in using power electronic controllers in power distribution networks
Disturbance extraction for power quality monitoring and mitigation
The talk provides an overview of power quality disturbances and equipment available to monitor them. It concentrates on Network multipoint PQ Monitoring Systems and gives the outline of an "Intelligent Power Quality Monitoring System" that was developed at Northumbria University. It also gives some details of fast individual harmonic extraction techniques
Fast non-recursive extraction of individual harmonics using artificial neural networks
A collaborative work between Northumbria University and University of Peradeniya (Sri Lanka). It presents a novel technique based on Artificial Neural Networks for fast extraction of individual harmonic components. The technique was tested on a real-time hardware platform and results obtained showed that it is significantly faster and less computationally complex than other techniques. The paper complements other publications by the author (see paper 1) on the important area of “Power Quality” of electric power networks. It involves the application of advanced techniques in artificial intelligence to solve power systems problems
Dynamic behaviour of single-phase induction generators during disconnection and reconnection to the grid
The interest in renewable energy and Combined Heat and Power (CHP) is expected to lead to a continuous increase in Embedded Generation (EG) directly connected to the distribution network. In order to maximise the benefits from EG, it is expected that islanding operation will be allowed in the future. This paper discusses the dynamic behaviour of induction generators (widely used in EG) connected directly to the grid, during disconnection and reconnection to the grid. Direct connection of induction generators is used in EG, such as micro CHP and some wind turbines. Results showed that self-excited induction generators experience a serious voltage regulation problem when the load and speed change. Results from simulation and experimental analyses showed that it is necessary to control the real and reactive power in order to maintain the generator terminal voltage and to avoid high in-rush current during reconnection
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