Demand-side energy storage system management in smart grid

An economical way to manage demand-side energy storage systems in the smart grid is proposed by using an H∞ design. The proposed design can adjust the stored energy state economically according to the price signal, while tolerating a certain degree of system uncertainty and having physical constraints on the stored energy level satisfied. Roughly speaking, batteries in the proposed design are charged during a low-price period while being discharged during a high-price period for cost control. Simulations show that the proposed energy storage system can meet the real-time power demand and save money in the long term in contrast to energy storage systems using constant-state schemes. © 2012 IEEE

Position-addressable nano-scaffolds. II. The introduction of one, two, or three addressable succinimide linkage points onto the under-surface of 'southern' cavity bis-porphyins

Cavity bis-porphyins containing up to three addressable succinimide rings on the underface are reported for the first time. This is achieved by site-selective addition of o-chloranil to the 7-oxanorbornene TT-bond of O-bridged sesquinorbornadienosuccinimide (1a) to form a scaffold a-dione, followed by condensation with porphyrindiamine (12) to produce a porphyrin-containing norbornene BLACK (13) incorporated a succinimide ring fused to the underside. Dual 1,3-dipolar coupling of (13) with alicyclic bis-epoxides (15) formed the cavity bis-porphyrins (16) containing two succinimide rings while similar 1,3-dipolar coupling with succinimide-containing bis-epoxide (17) gave the extended cavity bis-porphyrin (18) having three succinimide rings within the cavity section a similar cycloaddition/condensation strategy provides the shortest route to cavity bis-porphyrins containina a single succinimide ring yet reported

Robust power flow control in smart grids with fluctuating effects

One of the major issues encountered in smart grids is the unpredictable fluctuation of power supply from renewable energy sources. As an alternative to the energy storage technologies to mitigate these effects, in this paper a robust power flow control scheme is proposed that allows microgrids to function at desired working levels by cooperatively sharing energy with one another. An H ∞ design that can maintain the system robustness is considered from the worst-case perspective. The bounded real lemma is employed to transform the power flow control problem into an eigenvalue problem, which is convex and thus can be efficiently solved by existing algorithms. Simulations show that the microgrid energy states can achieve the desired working levels by using the proposed approach even if the fluctuation distributions are unknown. This study provides a power flow control framework in which more complicated systems and practical models of smart grids can be integrated. © 2012 IEEE

Robust Ensembling Network for Unsupervised Domain Adaptation

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Robust Ensembling Network for Unsupervised Domain Adaptation

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Multi-scale Edge-based U-shape Network for Salient Object Detection

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A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning

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A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning

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