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The Multi-Objective distributed Robust Optimization Scheduling of Integrated Energy Systems Considering Green Hydrogen Certificates and Low-Carbon Demand Response

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PROCESSES 2025年第3期13卷

作者： Yang, Yulong Yan, Han Wang, Jiaqi Northeast Elect Power Univ Sch Elect Engn Jilin 132000 Peoples R China

To address the issues of energy wastage and uncertainty impacts associated with high levels of renewable energy integration, a multi-objective distributed robust low-carbon optimization scheduling strategy for hydrogen-integrated Integrated Energy Systems (IES) is proposed. This strategy incorporates a green hydrogen trading mechanism and low-carbon demand response. Firstly, to leverage the low-carbon and clean characteristics of hydrogen energy, an efficient hydrogen utilization model was constructed, consisting of electricity-based hydrogen production, waste heat recovery, multi-stage hydrogen use, hydrogen blending in gas, and hydrogen storage. This significantly enhanced the system's renewable energy consumption and carbon reduction. Secondly, to improve the consumption of green hydrogen, a novel reward-punishment green hydrogen certificate trading mechanism was proposed. The impact of green hydrogen trading prices on system operation was discussed, promoting the synergistic operation of green hydrogen and green electricity. Based on the traditional demand-response model, a novel low-carbon demand-response strategy is proposed, with carbon emission factors serving as guiding signals. Finally, considering the uncertainty of renewable energy, an innovative optimal trade-off multi-objective distributed robust model was proposed, which simultaneously considered low-carbon, economic, and robustness aspects. The model was solved using an improved adaptive particle swarm optimization algorithm. Case study results show that, after introducing the reward-punishment green hydrogen trading mechanism and low-carbon demand response, the system's total cost was reduced by approximately 5.16% and 4.37%, and carbon emissions were reduced by approximately 7.84% and 6.72%, respectively. Moreover, the proposed multi-objective distributed robust model not only considers the system's economy, low-carbon, and robustness but also offers higher solving efficiency and optimization perfo

关键词： green hydrogen certificate trading low carbon demand response distributed robustness integrated energy system optimization scheduling

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Dynamical robustness of biological networks with hierarchical distribution of time scales

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IET SYSTEMS BIOLOGY 2007年第4期1卷 238-246页

作者： Gorban, A. N. Radulescu, O. Univ Leicester Leicester LE1 7RH Leics England Univ Rennes 1 IRMAR CNRS UMR 6625 F-35042 Rennes France

Concepts of distributed robustness and r-robustness proposed by biologists to explain a variety of stability phenomena in molecular biology are analysed. Then, the robustness of the relaxation time using a chemical reaction description of genetic and signalling networks is discussed. First, the following result for linear networks is obtained: for large multiscale systems with hierarchical distribution of time scales, the variance of the inverse relaxation time (as well as the variance of the stationary rate) is much lower than the variance of the separate constants. Moreover, it can tend to 0 faster than 1/n, where n is the number of reactions. Similar phenomena are valid in the nonlinear case as well. As a numerical illustration, a model of signalling network is used for the important transcription factor NF kappa B.

关键词： NFkB transcription factor biological networks Systems theory applications in biology and medicine chemical relaxation signalling networks genetic networks hierarchical distribution dynamical robustness time scales Biomolecular structure, configuration, conformation, and active sites molecular biology distributed robustness molecular biophysics stability linear networks r-robustness relaxation time chemical reaction description Biomolecular dynamics, molecular probes, molecular pattern recognition stability phenomena

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Pervasive Flexibility in Living Technologies through Degeneracy-Based Design

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ARTIFICIAL LIFE 2013年第3-4期19卷 365-386页

作者： Whitacre, James Bender, Axel Vrije Univ Brussel Ctr Leo Apostel Brussels Belgium Def Sci & Technol Org Land Operat Div Edinburgh SA Australia Univ New S Wales Sch Engn & Informat Technol Canberra ACT Australia

The capacity to adapt can greatly influence the success of systems that need to compensate for damaged parts, learn how to achieve robust performance in new environments, or exploit novel opportunities that originate from new technological interfaces or emerging markets. Many of the conditions in which technology is required to adapt cannot be anticipated during its design stage, thus creating a challenge for the designer. Inspired by the study of a range of biological systems, we propose that degeneracy-the realization of multiple, functionally versatile components with contextually overlapping functional redundancy-will support adaptation in technologies, because it effects pervasive flexibility, evolutionary innovation, and homeostatic robustness. We provide examples of degeneracy in a number of rudimentary living technologies, from military sociotechnical systems to swarm robotics, and we present design principles-including shared protocols, loose regulatory coupling, and functional versatility-that allow degeneracy to arise in both biological and man-made systems.

关键词： Pervasive flexibility adaptation degeneracy living technologies distributed robustness

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Uncovering a hidden distributed architecture behind scale-free transcriptional regulatory networks

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JOURNAL OF MOLECULAR BIOLOGY 2006年第1期360卷 204-212页

作者： Balaji, S. Iyer, Lakshminarayan M. Aravind, L. Babu, M. Madan NIH Natl Ctr Biotechnol Informat Natl Lib Med Bethesda MD 20894 USA

Numerous studies in both prokaryotes and eukaryotes have shown that, under standard growth conditions, less than 20% of the protein-coding genes are essential for survival. This suggests that biological systems have evolved to have a high degree of robustness to mutational disruptions that can affect the majority of their genes. This mutational robustness could arise either due to redundancy, i.e. direct backup, or due to distributed architecture, i.e. indirect backup where multiple genes contribute to the functioning of a process in the system. Despite clear evidence for direct backup, the prevalence of indirect backup is poorly understood. In this study, we reveal the existence of a hidden distributed architecture behind the scale-free transcriptional regulatory network of yeast by applying a unique network transformation procedure and show that the network is tolerant even to mutations that disrupt regulatory hubs. Contrary to what is generally accepted, our observation that hubs can be lost or replaced in evolution suggests that this hidden distributed architecture behind scale-free networks protects the overall transcriptional program of the organism from mutations affecting major regulatory hubs. We show that the distributed architecture has been provided by an unexpectedly large number of coordinating partners for any regulatory protein. On the basis of these findings, we propose that the existence of such architecture can allow organisms to explore the adaptive landscape in changing environments by providing the plasticity required to reprogram levels of expression of specific genes that may enhance survival. Thus, an "over-engineered" backup system in the form of distributed architecture is likely to be a major determinant of the "evolvability" of the gene expression in organisms faced with environmental diversity. Published by Elsevier Ltd.

关键词： transcriptional network co-regulation network distributed robustness scale-free structure evolution

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Degeneracy: A design principle for achieving robustness and evolvability

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JOURNAL OF THEORETICAL BIOLOGY 2010年第1期263卷 143-153页

作者： Whitacre, James Bender, Axel Univ New S Wales Australian Def Force Acad Def & Secur Applicat Res Ctr Canberra ACT Australia Def Sci & Technol Org Land Operat Div Edinburgh Australia

robustness, the insensitivity of some of a biological system's functionalities to a set of distinct conditions, is intimately linked to fitness. Recent studies suggest that it may also play a vital role in enabling the evolution of species. Increasing robustness, so is proposed, can lead to the emergence of evolvability if evolution proceeds over a neutral network that extends far throughout the fitness landscape. Here, we show that the design principles used to achieve robustness dramatically influence whether robustness leads to evolvability. In simulation experiments, we find that purely redundant systems have remarkably low evolvability while degenerate, i.e. partially redundant, systems tend to be orders of magnitude more evolvable. Surprisingly, the magnitude of observed variation in evolvability can neither be explained by differences in the size north etopology of the neutral networks. This suggests that degeneracy, a ubiquitous characteristic in biological systems, may be an important enabler of natural evolution. More generally, our study provides valuable new clues a bout the origin of innovations in complex adaptive systems. (C) 2009 Elsevier Ltd. All rights reserved.

关键词： Evolution Fitness landscapes Neutral networks Redundancy distributed robustness

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