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2011 - IEEE Transactions on Smart Grid

Real-Time Coordination of Plug-In Electric Vehicle Charging in Smart Grids to Minimize Power Losses and Improve Voltage Profile

This paper proposes a novel load management solution for coordinating the charging of multiple plug-in electric vehicles (PEVs) in a smart grid system. Utilities are becoming concerned about the potential stresses, performance degradations and overloads that may occur in distribution systems with multiple domestic PEV charging activities. Uncontrolled and random PEV charging can cause increased power losses, overloads and voltage fluctuations, which are all detrimental to the reliability and security of newly developing smart grids. Therefore, a real-time smart load management (RT-SLM) control strategy is proposed and developed for the coordination of PEV charging based on real-time (e.g., every 5 min) minimization of total cost of generating the energy plus the associated grid energy losses. The approach reduces generation cost by incorporating time-varying market energy prices and PEV owner preferred charging time zones based on priority selection. The RT-SLM algorithm appropriately considers random plug-in of PEVs and utilizes the maximum sensitivities selection (MSS) optimization. This approach enables PEVs to begin charging as soon as possible considering priority-charging time zones while complying with network operation criteria (such as losses, generation limits, and voltage profile). Simulation results are presented to demonstrate the performance of SLM for the modified IEEE 23 kV distribution system connected to several low voltage residential networks populated with PEVs.

2018 - Renewable & Sustainable Energy Reviews

A survey on electric vehicle transportation within smart grid system

The electrification of hybrid electric vehicle reduces the reliance of transportation on fossil fuels and reduces Green House Gas emissions. The economic and environmental benefits of the hybrid electric vehicles are greatly reshaping the modern transportation sector. The transportation electrification (TE) brings various challenges to the Smart Grid (SG), such as power quality, reliability, and control. Thus, there is a need to explore and reveal the key enabling technologies for TE. Moreover, the intermittent nature of Renewable Energy Resources (RER) based generation demands for efficient, reliable, flexible, dynamic, and distributed energy storage technologies. The Electrical Vehicles (EVs) storage battery is the promising solution in accommodating RER based generation within SG. The most efficient feature of transportation sector is Vehicle to Grid (V2G) concept that will help in storing the surplus energy and feeding back this energy to the main grid during period of high demands. The storage technology is an integral part of the SG that helps in attaining the proper utilization of RER. In this paper, our goal is to explore the TE sector and its impact on economy, reliability and eco-friendly system. We reviewed the V2G technology and their implementation challenges. We further reviewed various energy storage technologies deployed in EVs within SG, considering attention to their influence on the environment. Moreover, this paper presented a detailed overview of the on board and off board charging infrastructure and communication necessities for EV. The paper also investigated the current issues and challenges of energy storage technologies in EVs. The technical and economic benefits of storage technologies are also considered. Our analysis reviews the role of EVs in decarbonizing the atmosphere. Lastly, the survey explains the current regulation, Standard, and interfacing issues within SG.

论文关键词

neural network power system internet of things electric vehicle data analysi renewable energy smart grid learning algorithm power grid image compression hyperspectral image matrix factorization source separation cyber-physical system energy management system sparse representation deep convolutional cloud storage blind source separation demand response blind source gradient method renewable energy system grid system dictionary learning hyperspectral datum latent semantic spectral clustering nonnegative matrix nonnegative matrix factorization hyperspectral imagery low rank image representation image inpainting public cloud matrix completion spectral datum smart grid system smart grid technology remote datum smart grid communication tensor factorization data matrix latent factor future smart grid factorization method spectral unmixing grid communication hyperspectral unmixing international system future smart smart power grid nonnegative matrice power grid system dictionary learning algorithm matrix factorization method data possession projected gradient graph regularized factorization based nonnegative tensor provable data possession system of units image inpainting method smart grid security provable datum public cloud storage matrix factorization technique projected gradient method factorization technique nonnegative tensor factorization nmf algorithm low-rank matrix factorization exemplar-based image inpainting image inpainting technique emerging smart grid matrix factorization problem multiplicative update based image inpainting regularized nonnegative matrix constrained nonnegative matrix sparse nonnegative kernel k-means clustering regularized nonnegative sparse nonnegative matrix matrix and tensor sparse nmf constrained nonnegative high-dimensional vector nmf method orthogonal nonnegative matrix graph regularized nonnegative nonnegative datum multi-way datum nonnegative tucker decomposition lee and seung weighted nonnegative matrix weighted nonnegative robust nonnegative matrix projective nonnegative matrix als algorithm robust nonnegative input data matrix projective nonnegative semantic image inpainting fast nonnegative wind power