Advances in wound dressing based on electrospinning nanofibers

Journal of Applied Polymer Science, Journal Year: 2023, Volume and Issue: 141(1)

Published: Oct. 3, 2023

Abstract In recent years, there has been a significant focus on bioactive dressings suitable for treating chronic and acute wounds. Electrospinning nanofibers are considered advanced dressing options due to their high porosity permeability air water, effective barrier properties against external pathogens, excellent resemblance the extracellular matrix wound healing skin regeneration. This article reviews advancements in application of electrospinning healing. The review begins with an overview process methods. It then explores advantages disadvantages different synthetic natural polymers used preparation dressings. discussed this include collagen, gelatin, silk fibroin, chitosan, hyaluronic acid, sodium alginate. Additionally, delves into commonly like polyvinyl alcohol, chloride, polyethylene lactone, polylactide, polyurethane applications. Furthermore, examines blending create high‐performance also incorporation functional additives, such as antimicrobial agents, growth factors, extracts, expedite tissue repair. conclusion, is emerging technology that provides unique opportunities designing more care products.

Language: Английский

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Multi-Objective Security Constrained Unit Commitment via Hybrid Evolutionary Algorithms

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 6698 - 6718

Published: Jan. 1, 2024

This paper addresses the challenging problem of Unit Commitment (UC), which involves optimal scheduling power generation units while adhering to numerous network operational constraints called security-constrained UC (SCUC). SCUC aims minimize costs subject turning on economically efficient generators and off expensive ones. These include load balancing, voltage level at buses, minimum up down time requirements, spinning reserve, ramp constraints. The problem, these constraints, is a complex mixed-integer nonlinear (MINLP). There has been growing interest in using evolutionary algorithms (EAs) tackle large-scale multi-objective MINLP problems recent two decades. introduces novel approach address further complicated by including They are pioneering integration single EAs solve incorporating AC through hybrid binary real coded operators. development an ensemble algorithm that combines mixed operators, extended bidirectional coevolutionary problems. implements new formulation based three conflicting objective functions: cost energy supplied, startup shutdown generators, loss, deviation problem. Implementing also solution combination proposed technical economic functions. rigorously tested 10-unit IEEE RTS system 6-unit 30-bus test system, both with without security addressing week-ahead day-ahead scenarios. Simulation results show finds near-global solutions compared other state-of-the-art EAs. Additionally, research demonstrates effectiveness search operator integrating it driven feasible infeasible solutions, showcasing superior performance solving various recently implemented Multi-Objective Evolutionary Algorithms (MOEAs), demonstrating superiority terms convergence diversity. A comparison simulation better diversity than MOEAs.

Language: Английский

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Optimization of integrated energy system considering multi-energy collaboration in carbon-free hydrogen port

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2023, Volume and Issue: 180, P. 103351 - 103351

Published: Nov. 6, 2023

Language: Английский

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Market design for ancillary service provisions of inertia and frequency response via virtual power plants: A non-convex bi-level optimisation approach

Applied Energy, Journal Year: 2024, Volume and Issue: 361, P. 122929 - 122929

Published: Feb. 28, 2024

The Great Britain (GB) government is paving the path to decarbonisation by actively promoting integration of wind power into its generation mix. This sharp transition renewable energy, however, introduces specific challenges. characteristics non-synchronous turbines have potential impact grid stability and frequency security due reduction in system inertia. In response these challenges, deployment virtual plants (VPPs) envisioned deregulated systems, which allow for aggregation coordinated control diverse distributed energy resources, enhancing flexibility, reliability, efficiency. Moreover, VPPs offer provision inertia services at national level. study drops this assumption leverages localised flexibility inherent meet ancillary service requirements low-carbon system. formulated problem constructed as a non-convex bi-level optimisation problem, where upper-level represents operation frequency-constrained unit commitment model, lower-level embodies dispatches responses group VPPs, guided dual price signals cleared services. To address nature two-fold approach employed. First, binary status decision variables are relaxed continuous versions. Subsequently, duality gap between original form minimised, yielding solution closely approximating optimal problem. Second, transformed single-level mathematical programs with equilibrium constraints replacing VPP problems their equivalent Karush-Kuhn–Tucker optimality conditions. case studies conducted work encompass comprehensive scope. Initially, evaluates effectiveness delivering within projected context GB 2030. findings reveal substantial 28.28% decrease costs when compared benchmark lacking flexibility. Additionally, leads significantly lower inertia, primary response, enhanced reduced 81.21%, 79.13%, 86.27%, respectively, contrast case. analysis then delves sensitivity exploration, investigating VPPs. profit local expected increase Finally, illustrates how can adapt derive benefits from an increasing level penetration providing higher amount response.

Language: Английский

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Multi-area Frequency-constrained Unit Commitment for Power Systems with High Penetration of Renewable Energy Sources and Induction Machine Load

Journal of Modern Power Systems and Clean Energy, Journal Year: 2024, Volume and Issue: 12(3), P. 754 - 766

Published: Jan. 1, 2024

The increasing penetration of renewable energy sources (RESs) brings great challenges to the frequency security power systems. traditional frequency-constrained unit commitment (FCUC) analyzes by simplifying average system and ignoring numerous induction machines (IMs) in load, which may underestimate risk increase operational cost. In this paper, we consider a multi-area response (MAFR) model capture dynamics scheduling problem, regional inertia IM load are modeled with high-dimension differential algebraic equations. A FCUC (MFCUC) is formulated as mixed-integer nonlinear programming (MINLP) on basis MAFR model. Then, develop multi-direction decomposition algorithm solve MFCUC efficiently. original MINLP decomposed into master problem subproblems. subproblems check generate linear optimization cuts for improve its optimal solution. Case studies modified IEEE 39-bus 118-bus show reduction costs. Moreover, simulation results verify ability proposed reflect available IMs scheduling.

Language: Английский

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The bifurcation of constrained optimization optimal solutions and its applications

AIMS Mathematics, Journal Year: 2023, Volume and Issue: 8(5), P. 12373 - 12397

Published: Jan. 1, 2023

<abstract> <p>The appearance and disappearance of the optimal solution for change system parameters in optimization theory is a fundamental problem. This paper aims to address this issue by transforming solutions constrained problem into equilibrium points (EPs) dynamical system. The bifurcation EPs then used describe saddle point through two classes bifurcation, namely pseudo saddle-node bifurcation. Moreover, new class pseudo-bifurcation phenomena introduced transformation regular degenerate EPs, which sheds light on relationship between infeasible points. development also promotes proposal tool predicting based phenomenon. study finds that closely related feasible region, as demonstrated 5-bus 9-bus power flow problems.</p> </abstract>

Language: Английский

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Optimization method of power grid material warehousing and allocation based on multi-level storage system and reinforcement learning

Computers & Electrical Engineering, Journal Year: 2023, Volume and Issue: 109, P. 108771 - 108771

Published: May 23, 2023

Language: Английский

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Unit commitment problem for transmission system, models and approaches: A review

Electric Power Systems Research, Journal Year: 2023, Volume and Issue: 223, P. 109671 - 109671

Published: June 28, 2023

Language: Английский

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Multi-objective particle swarm optimization for optimal scheduling of household microgrids

Frontiers in Energy Research, Journal Year: 2024, Volume and Issue: 11

Published: Jan. 16, 2024

Addressing the challenge of household loads and concentrated power consumption electric vehicles during periods low electricity prices is critical to mitigate impacts on utility grid. In this study, we propose a multi-objective particle swarm algorithm-based optimal scheduling method for microgrids. A microgrid optimization model formulated, taking into account time-sharing tariffs users’ travel patterns with vehicles. The focuses optimizing daily costs minimizing grid-side energy supply variances. Specifically, mathematical incorporates actual input output each distributed source within as variables. Furthermore, it integrates an analysis capacity variations storage batteries vehicle batteries. Through arithmetic simulation Pareto solution set, identifies that effectively mitigates fluctuations in side. Simulation results confirm effectiveness strategy reducing costs. proposed approach not only improves overall quality but also demonstrates its economic practical feasibility, highlighting potential broader application impact.

Language: Английский

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Stochastic Unit Commitment with High-penetration Offshore Wind Power Generation in Typhoon Scenarios

Journal of Modern Power Systems and Clean Energy, Journal Year: 2024, Volume and Issue: 12(2), P. 535 - 546

Published: Jan. 1, 2024

To tackle the energy crisis and climate change, wind farms are being heavily invested in across world. In China's coastal areas, there abundant resources numerous offshore constructed. The secure operation of these may suffer from typhoons, researchers have studied power system resilience enhancement typhoon scenarios. However, intricate movement a makes it challenging to evaluate its spatial-temporal impacts. Most published papers only consider predefined trajectories neglecting uncertainties. address this challenge, study proposes stochastic unit commitment model that incorporates high-penetration generation It adopts data-driven method describe uncertainties considers realistic anti-typhoon mode farms. A two-stage is designed enhance We formulate into mixed-integer linear programming problem then solve based on computationally-efficient progressive hedging algorithm (PHA). Finally, numerical experiments validate effectiveness proposed method.

Language: Английский

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