Browse Topic: Smart grid
Tracking of energy consumption has become more difficult as demand and value for energy have increased. In such a case, energy consumption should be monitored regularly, and the power consumption want to be reduced to ensure that the needy receive power promptly. Our objective is to identify the energy consumption of an electric vehicle from battery and track the daily usage of it. We have to send the data to both the user and provider. We have to optimize the power usage by using anomaly detection technique by implementing deep learning algorithms. Here we are going to employ a LSTM auto-encoder algorithm to detect anomalies in this case. Estimating the power requirements of diverse locations and detecting harmful actions are critical in a smart grid. The work of identifying aberrant power consumption data is vital and it is hard to assure the smart meter’s efficiency. The LSTM auto-encoder neural network technique is used here for predicting power consumption and to detect anomalies
Researchers have built a new type of battery that combines the benefits of existing options while eliminating their key shortcomings and saving energy. Most batteries are composed of either solid-state electrodes, such as lithium-ion batteries for portable electronics, or liquid-state electrodes including those for smart grids. The researchers have created a “room-temperature all-liquid-metal battery,” which includes the best of both worlds of liquid-and solid-state batteries
Moving beyond vehicles, Toyota plans to manufacture a whole city. There's hardly a region on Earth that Toyota doesn't reach. At the 2020 CES conference, the company announced a visionary project of similar scope, saying it intends to build a “prototype town of the future” to prove out new technologies of all kind, not just transportation-related. Toyota's Woven City is envisioned as “home to full-time residents and researchers who will be able to test and develop technologies such as autonomy, robotics, personal mobility, smart homes and artificial intelligence in a real-world environment.” Toyota CEO Akio Toyoda appeared genuinely energized in announcing Woven City, saying “having the opportunity to build an entire city from the ground up - even on a very small scale like this - is in many respects the opportunity of a lifetime.” He said the 175-acre site of a decommissioned Toyota manufacturing plant will be the foundation for Woven City, with groundbreaking beginning in 2021
Given the increasing globalization and industrialization, the worldwide demand for energy continuously increases. In the context of modern Smart Grids, especially small and distributed power plants are a key factor. The present article essentially focuses on the investigation of different approaches for waste heat recovery (WHR) in small-scale CHP (combined heat and power) applications with an output range of approximately 20 kW. The engine integrated into the CHP system under investigation applies a lean-burn combustion process generally providing comparatively low exhaust gas temperatures, thus requiring a careful design that is crucial for efficient WHR. Therefore, this article presents the development and use of a simulation environment for the design and optimization of WHR in small-scale CHP applications. The MATLAB-based code allows various combinations of specific components (e.g., heat exchangers and pumps, as well as turbines and compressors) in different thermodynamic cycles
Lightning strikes on automobiles are usually rare, though they can be fatal to occupants and hazardous to electronic control systems. Vehicles’ metal bodies are normally considered to be an effective shield against lightning. Modern body designs, however, often have wide window openings, and plastic body parts have become popular. Lightning can enter the cabin of vehicles through their radio antennas. In the near future, automobiles may be integrated into the electric power grid, which will cause issues related to the smart grid and the vehicle-to-grid concept. Even today, electric vehicles (EVs) and plug-in hybrid vehicles (PHEVs) are charged at home or in parking lots. Such automobiles are no longer isolated from the power grid and thus are subject to electric surges caused by lightning strikes on the power grid. A charging system connected to an EV or PHEV should absorb the surge, but powerful lightning strikes can overwhelm the surge protection and intrude into the electric and
In this paper, we present an implementation of smart charging systems for plug-in electric vehicles based on off-the-shelf communication protocols for smart grids including SAE J2836/2847/J2931 standards and SEP 2.0. In this system, the charging schedule is optimized so that it supplies sufficient electricity for the next trip and also minimizes the charging cost under given time-of-use rate structures while it follows demand response events requested by a utility. Also, users can control charging schedule and check the current status of charging through application software of tablet computers. To validate the effectiveness of the developed smart charging system, we conducted experimental demonstration in which a total of 10 customers of Duke Energy regularly used our developed system for approximately one year with simulated time-of-use rate structures and demand response events. We show the users' acceptance for the system usability and demand response events, the cost benefits for
This paper presents the use of a second life battery pack in a smart grid-tied photovoltaic battery energy system. The system was developed for a single family household integrating a PV array, second life battery pack, grid back feeding, and plug-in hybrid electric vehicle charging station. The battery pack was assembled using retired vehicle traction batteries. The pack is configured with 9 cells in each parallel bank, 15 banks in series featuring 48V nominal and a 12kWh nominal capacity. Limited by the weakest bank in the pack, the second life battery pack has an accessible capacity of 10kWh, or 58% of its original condition. A battery management was developed to handle the bank-to-bank imbalance and ensure the safe operation of the battery pack. An energy management algorithm was established to optimize the energy harvest from PV while minimizing the grid dependence. An information network was constructed to acquire data from the battery, PV, major appliances, and major inverters
In the coming years electric commercial vehicles market will grow in the world and in Brazil. Electric vehicle (EVs), beyond representing a way to reduce air pollution, could become providers of innovative additional services by an improved interaction between vehicles, communication systems and power grids in a smart grid architecture. Smart grid can enable EV-charging (grid-to-vehicle, or G2V), with load shifting from off-peak periods, flattening the daily load curve and allowing vehicles to grid operations (or V2G), with EVs being used as distributed generation and storage devices. Advanced metering and bi-directional battery chargers, like interface equipment between the grid and the vehicles, are essential components, enabling a two-way flow of information and power. However, there are a number of technical, practical and economic barriers that must be taken into account during product development process. Close and cooperative relationships between the R&D departments of
Connectivity and systems integration together with weight and production cost reduction are among the main objectives of the automotive industry in electric vehicles development in particular, when concerns with smart grids integration and interoperability increases. At the same time vehicle systems reliability plays an important role as a decisive factor for market acceptance. Conventional automotive electrical systems comprehend a central ECU, with radial wiring harness architecture with power and signal cables. A different architecture is proposed with the aim of vehicle cable mass and cost reduction, simplification and increased reliability of the whole electrical control system. With this architecture there's also the aim to provide computing and communications capability to each electric component in a distributed way, in order to enable its integration with external systems like smart phones, networking services and smart grids. A measurement, actuator and communications system
Over the past ten years, the worldwide sensors technology market has experienced tremendous growth. Today’s sensor technology has been woven seamlessly into our everyday lives through a vast array of new and exciting applications that continue to evolve at a pace never seen before. To put things into perspective, ten years ago the average automobile utilized about 35 sensors. Today, the average automobile incorporates more than 100 sensors that measure and monitor everything from speed, oxygen, and brakes, to parking assistance and airbags
This paper is the second in the series of documents designed to record the progress of a series of SAE documents - SAE J2836™, J2847, J2931, & J2953 - within the Plug-In Electric Vehicle (PEV) Communication Task Force. This follows the initial paper number 2010-01-0837, and continues with the test and modeling of the various PLC types for utility programs described in J2836/1™ & J2847/1. This also extends the communication to an off-board charger, described in J2836/2™ & J2847/2 and includes reverse energy flow described in J2836/3™ and J2847/3. The initial versions of J2836/1™ and J2847/1 were published early 2010. J2847/1 has now been re-opened to include updates from comments from the National Institute of Standards Technology (NIST) Smart Grid Interoperability Panel (SGIP), Smart Grid Architectural Committee (SGAC) and Cyber Security Working Group committee (SCWG). These documents have been added to the NIST SGIP Catalogue of Standards and it is expected the others to be added upon
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