Log in

Relevant bibliographies by topics / Optimal reaction networks

Contents

Journal articles
Dissertations / Theses
Book chapters
Conference papers
Reports

Academic literature on the topic 'Optimal reaction networks'

Author: Grafiati

Published: 3 June 2025

Last updated: 22 June 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Optimal reaction networks.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Optimal reaction networks"

1

Feng, Xiao-jiang, and Herschel Rabitz. "Optimal Identification of Biochemical Reaction Networks." Biophysical Journal 86, no. 3 (2004): 1270–81. http://dx.doi.org/10.1016/s0006-3495(04)74201-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Liu, Chen, Shupeng Gao, Mingrui Song, Yue Bai, Lili Chang, and Zhen Wang. "Optimal control of the reaction–diffusion process on directed networks." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 6 (2022): 063115. http://dx.doi.org/10.1063/5.0087855.

Full text

Abstract:

Reaction–diffusion processes organized in networks have attracted much interest in recent years due to their applications across a wide range of disciplines. As one type of most studied solutions of reaction–diffusion systems, patterns broadly exist and are observed from nature to human society. So far, the theory of pattern formation has made significant advances, among which a novel class of instability, presented as wave patterns, has been found in directed networks. Such wave patterns have been proved fruitful but significantly affected by the underlying network topology, and even small topological perturbations can destroy the patterns. Therefore, methods that can eliminate the influence of network topology changes on wave patterns are needed but remain uncharted. Here, we propose an optimal control framework to steer the system generating target wave patterns regardless of the topological disturbances. Taking the Brusselator model, a widely investigated reaction–diffusion model, as an example, numerical experiments demonstrate our framework’s effectiveness and robustness. Moreover, our framework is generally applicable, with minor adjustments, to other systems that differential equations can depict.

APA, Harvard, Vancouver, ISO, and other styles

3

Liu, Chen, Shupeng Gao, Mingrui Song, Yue Bai, Lili Chang, and Zhen Wang. "Optimal control of the reaction–diffusion process on directed networks." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 6 (2022): 063115. http://dx.doi.org/10.1063/5.0087855.

Full text

Abstract:

Reaction–diffusion processes organized in networks have attracted much interest in recent years due to their applications across a wide range of disciplines. As one type of most studied solutions of reaction–diffusion systems, patterns broadly exist and are observed from nature to human society. So far, the theory of pattern formation has made significant advances, among which a novel class of instability, presented as wave patterns, has been found in directed networks. Such wave patterns have been proved fruitful but significantly affected by the underlying network topology, and even small topological perturbations can destroy the patterns. Therefore, methods that can eliminate the influence of network topology changes on wave patterns are needed but remain uncharted. Here, we propose an optimal control framework to steer the system generating target wave patterns regardless of the topological disturbances. Taking the Brusselator model, a widely investigated reaction–diffusion model, as an example, numerical experiments demonstrate our framework’s effectiveness and robustness. Moreover, our framework is generally applicable, with minor adjustments, to other systems that differential equations can depict.

APA, Harvard, Vancouver, ISO, and other styles

4

Dourado, Hugo, Wolfram Liebermeister, Oliver Ebenhöh, and Martin J. Lercher. "Mathematical properties of optimal fluxes in cellular reaction networks at balanced growth." PLOS Computational Biology 19, no. 6 (2023): e1011156. http://dx.doi.org/10.1371/journal.pcbi.1011156.

Full text

Abstract:

The physiology of biological cells evolved under physical and chemical constraints, such as mass conservation across the network of biochemical reactions, nonlinear reaction kinetics, and limits on cell density. For unicellular organisms, the fitness that governs this evolution is mainly determined by the balanced cellular growth rate. We previously introduced growth balance analysis (GBA) as a general framework to model and analyze such nonlinear systems, revealing important analytical properties of optimal balanced growth states. It has been shown that at optimality, only a minimal subset of reactions can have nonzero flux. However, no general principles have been established to determine if a specific reaction is active at optimality. Here, we extend the GBA framework to study the optimality of each biochemical reaction, and we identify the mathematical conditions determining whether a reaction is active or not at optimal growth in a given environment. We reformulate the mathematical problem in terms of a minimal number of dimensionless variables and use the Karush-Kuhn-Tucker (KKT) conditions to identify fundamental principles of optimal resource allocation in GBA models of any size and complexity. Our approach helps to identify from first principles the economic values of biochemical reactions, expressed as marginal changes in cellular growth rate; these economic values can be related to the costs and benefits of proteome allocation into the reactions’ catalysts. Our formulation also generalizes the concepts of Metabolic Control Analysis to models of growing cells. We show how the extended GBA framework unifies and extends previous approaches of cellular modeling and analysis, putting forward a program to analyze cellular growth through the stationarity conditions of a Lagrangian function. GBA thereby provides a general theoretical toolbox for the study of fundamental mathematical properties of balanced cellular growth.

APA, Harvard, Vancouver, ISO, and other styles

5

Yang, Bin, Chuan Zhu Liao, Ming Yan Jiang, and Dong Feng Yuan. "Delayed Stochastic Biochemical Reactions Reconstruction Based on Additive Reaction Model." Advanced Materials Research 894 (February 2014): 280–83. http://dx.doi.org/10.4028/www.scientific.net/amr.894.280.

Full text

Abstract:

Stochastic dynamics and delayed time of biochemical reactions play an important role in the biological networks such as gene regulatory and metabolic networks. This paper presents a new model, called additive reaction model (ARM), to capture the stochastic dynamical and delayed behavior. The new evolutionary strategy is used to search the optimal biochemical model, in which genetic algorithm (GA) and particle swarm optimization (PSO) are employed to evolve the architecture and parameters of biochemical reactions, respectively. The results reveal that the delayed biochemical reaction modeling problems could be solved effectively and efficiently using our proposed new model and new evolutionary strategy.

APA, Harvard, Vancouver, ISO, and other styles

6

Tamura, Takeyuki, Kazuhiro Takemoto, and Tatsuya Akutsu. "Finding Minimum Reaction Cuts of Metabolic Networks Under a Boolean Model Using Integer Programming and Feedback Vertex Sets." International Journal of Knowledge Discovery in Bioinformatics 1, no. 1 (2010): 14–31. http://dx.doi.org/10.4018/jkdb.2010100202.

Full text

Abstract:

In this paper, the authors consider the problem of, given a metabolic network, a set of source compounds and a set of target compounds, finding a minimum size reaction cut, where a Boolean model is used as a model of metabolic networks. The problem has potential applications to measurement of structural robustness of metabolic networks and detection of drug targets. They develop an integer programming-based method for this optimization problem. In order to cope with cycles and reversible reactions, they further develop a novel integer programming (IP) formalization method using a feedback vertex set (FVS). When applied to an E. coli metabolic network consisting of Glycolysis/Glyconeogenesis, Citrate cycle and Pentose phosphate pathway obtained from KEGG database, the FVS-based method can find an optimal set of reactions to be inactivated much faster than a naive IP-based method and several times faster than a flux balance-based method. The authors also confirm that our proposed method works even for large networks and discuss the biological meaning of our results.

APA, Harvard, Vancouver, ISO, and other styles

7

Duan, Chenru, Guan-Horng Liu, Yuanqi Du, et al. "Optimal transport for generating transition states in chemical reactions." Nature Machine Intelligence 7, no. 4 (2025): 615–26. https://doi.org/10.1038/s42256-025-01010-0.

Full text

Abstract:

Abstract Transition states (TSs) are transient structures that are key to understanding reaction mechanisms and designing catalysts but challenging to capture in experiments. Many optimization algorithms have been developed to search for TSs computationally. Yet, the cost of these algorithms driven by quantum chemistry methods (usually density functional theory) is still high, posing challenges for their applications in building large reaction networks for reaction exploration. Here we developed React-OT, an optimal transport approach for generating unique TS structures from reactants and products. React-OT generates highly accurate TS structures with a median structural root mean square deviation of 0.053 Å and median barrier height error of 1.06 kcal mol−1 requiring only 0.4 s per reaction. The root mean square deviation and barrier height error are further improved by roughly 25% through pretraining React-OT on a large reaction dataset obtained with a lower level of theory, GFN2-xTB. We envision that the remarkable accuracy and rapid inference of React-OT will be highly useful when integrated with the current high-throughput TS search workflow. This integration will facilitate the exploration of chemical reactions with unknown mechanisms.

APA, Harvard, Vancouver, ISO, and other styles

8

Smith, Robert W., Sluijs Bob van, and Christian Fleck. "Designing synthetic networks in silico: a generalised evolutionary algorithm approach." BMC Systems Biology 11, no. 1 (2017): 118. https://doi.org/10.1186/s12918-017-0499-9.

Full text

Abstract:

<strong>Background: </strong>Evolution has led to the development of biological networks that are shaped by environmental signals. Elucidating, understanding and then reconstructing important network motifs is one of the principal aims of Systems & Synthetic Biology. Consequently, previous research has focused on finding optimal network structures and reaction rates that respond to pulses or produce stable oscillations. In this work we present a generalised <i>in silico</i> evolutionary algorithm that simultaneously finds network structures and reaction rates (genotypes) that can satisfy multiple defined objectives (phenotypes).<strong>Results: </strong>The key step to our approach is to translate a schema/binary-based description of biological networks into systems of ordinary differential equations (ODEs). The ODEs can then be solved numerically to provide dynamic information about an evolved networks functionality. Initially we benchmark algorithm performance by finding optimal networks that can recapitulate concentration time-series data and perform parameter optimisation on oscillatory dynamics of the Repressilator. We go on to show the utility of our algorithm by finding new designs for robust synthetic oscillators, and by performing multi-objective optimisation to find a set of oscillators and feed-forward loops that are optimal at balancing different system properties. In sum, our results not only confirm and build on previous observations but we also provide new designs of synthetic oscillators for experimental construction.<strong>Conclusions: </strong>In this work we have presented and tested an evolutionary algorithm that can design a biological network to produce desired output. Given that previous designs of synthetic networks have been limited to subregions of network- and parameter-space, the use of our evolutionary optimisation algorithm will enable Synthetic Biologists to construct new systems with the potential to display a wider range of complex responses.

APA, Harvard, Vancouver, ISO, and other styles

9

Göb, S., E. Oliveros, S. H. Bossmann, A. M. Braun, C. A. O. Nascimento, and R. Guardani. "Optimal experimental design and artificial neural networks applied to the photochemically enhanced Fenton reaction." Water Science and Technology 44, no. 5 (2001): 339–45. http://dx.doi.org/10.2166/wst.2001.0321.

Full text

Abstract:

Among advanced oxidation processes (AOPs), the photochemically enhanced Fenton reaction may be considered as one of the most efficient for the degradation of contaminants in industrial wastewater. This process involves a series of complex reactions. Therefore, an empirical model based on artificial neural networks has been developed for fitting the experimental data obtained in a laboratory batch reactor for the degradation of 2,4-dimethyl aniline (2,4-xylidine), chosen as a model pollutant. The model describes the evolution of the pollutant concentration during irradiation time as a function of the process conditions. It has been used for simulating the behavior of the reaction system in sensitivity studies aimed at optimizing the amounts of reactants employed in the process, an iron(III) salt and hydrogen peroxide, as well as the temperature. The results show that the process is most sensitive to the concentration of iron(III) salt and temperature, whereas the concentration of hydrogen peroxide has a minor effect.

APA, Harvard, Vancouver, ISO, and other styles

10

Rätze, K. H. G., K. McBride, and K. Sundmacher. "Optimal experimental design with Bayesian parameter identification for chemical reaction networks." Chemie Ingenieur Technik 92, no. 9 (2020): 1354. http://dx.doi.org/10.1002/cite.202055028.

Full text

APA, Harvard, Vancouver, ISO, and other styles

More sources

Dissertations / Theses on the topic "Optimal reaction networks"

1

Howard, Trevor C. "Artificial neural networks in the search for an optimal chemical reactor series." Ohio : Ohio University, 1996. http://www.ohiolink.edu/etd/view.cgi?ohiou1178310403.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Macfie, Peter. "Large-scale security constrained optimal reactive power flow for operational loss management on the GB electricity transmission network." Thesis, Brunel University, 2010. http://bura.brunel.ac.uk/handle/2438/5073.

Full text

Abstract:

The transmission of power across the GB transmission system, as operated by National Grid, results in inevitable loss of electrical power. Operationally these power losses cannot be eliminated, but they can be reduced by adjustment of the system voltage profile. At present the minimisation of active power losses relies upon a lengthy manually based iterative adjustment process. Therefore the system operator requires the development of advanced optimisation tools to cope with the challenges faced over the next decade, such as achieving the stringent greenhouse gas emission targets laid down by the UK government, while continue to provide an economical, secure and efficient service. To meet these challenges the research presented in this thesis has developed optimisation techniques that can assist control centre engineers by automatically setting up voltage studies that are low loss and low cost. The proposed voltage optimisation techniques have been shown to produce solutions that are secured against 800 credible contingency cases. A prototype voltage optimisation tool has been deployed, which required the development of a series of novel approaches to extend the functionality of an existing optimisation program. This research has lead to the development of novel methods for handling multi-objectives, contradictory shunt switching configurations and selecting all credible contingencies. Studies indicate that a theoretical loss saving of 1.9% is achievable, equivalent to an annual emissions saving of approximately 64,000 tonnes of carbon dioxide. A novel security constrained mixed integer non-linear optimisation technique has also been developed. The proposed method has been shown to be superior to several conventional methods on a wide range of IEEE standard network models and also on a range of large-scale GB network models. The proposed method manages to further reduce active power losses and also satisfies all security constraints.

APA, Harvard, Vancouver, ISO, and other styles

3

Furlong, Vitor Badiale. "Automation of a reactor for enzymatic hydrolysis of sugar cane bagasse : Computational intelligencebased adaptive control." Universidade Federal de São Carlos, 2015. https://repositorio.ufscar.br/handle/ufscar/7394.

Full text

Abstract:

Submitted by Luciana Sebin (lusebin@ufscar.br) on 2016-09-21T13:52:44Z No. of bitstreams: 1 DissVBF.pdf: 4418595 bytes, checksum: aaae3efb173c8760a1039251a31ea973 (MD5)<br>Approved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-09-23T18:23:48Z (GMT) No. of bitstreams: 1 DissVBF.pdf: 4418595 bytes, checksum: aaae3efb173c8760a1039251a31ea973 (MD5)<br>Approved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-09-23T18:24:01Z (GMT) No. of bitstreams: 1 DissVBF.pdf: 4418595 bytes, checksum: aaae3efb173c8760a1039251a31ea973 (MD5)<br>Made available in DSpace on 2016-09-23T18:24:10Z (GMT). No. of bitstreams: 1 DissVBF.pdf: 4418595 bytes, checksum: aaae3efb173c8760a1039251a31ea973 (MD5) Previous issue date: 2015-03-20<br>Não recebi financiamento<br>The continuous demand growth for liquid fuels, alongside with the decrease of fossil oil reserves, unavoidable in the long term, induces investigations for new energy sources. A possible alternative is the use of bioethanol, produced by renewable resources such as sugarcane bagasse. Two thirds of the cultivated sugarcane biomass are sugarcane bagasse and leaves, not fermentable when the current, first-generation (1G) process is used. A great interest has been given to techniques capable of utilizing the carbohydrates from this material. Among them, production of second generation (2G) ethanol is a possible alternative. 2G ethanol requires two additional operations: a pretreatment and a hydrolysis stage. Regarding the hydrolysis, the dominant technical solution has been based on the use of enzymatic complexes to hydrolyze the lignocellulosic substrate. To ensure the feasibility of the process, a high final concentration of glucose after the enzymatic hydrolysis is desirable. To achieve this objective, a high solid consistency in the reactor is necessary. However, a high load of solids generates a series of operational difficulties within the reactor. This is a crucial bottleneck of the 2G process. A possible solution is using a fed-batch process, with feeding profiles of enzymes and substrate that enhance in the process yield and productivity. The main objective of this work was to implement and test a system to infer online concentrations of fermentable carbohydrates in the reactive system, and to optimize the feeding strategy of substrate and/or enzymatic complex, according to a model-based control strategy. Batch and fed-batch experiments were conducted in order to test the adherence of four simplified kinetic models. The model with best adherence to the experimental data (a modified Michaelis-Mentem model with inhibition by the product) was used to train an Artificial Neural Network (ANN) as a softsensor to predict glucose concentrations. Further, this ANN may be used in a closedloop control strategy. A feeding profile optimizer was implemented, based on the optimal control approach. The ANN was capable of inferring the product concentration from the available data with good adherence (Determination Coefficient of 0.972). The optimization algorithm generated profiles that increased a process performance index while maintaining operational levels within the reactor, reaching glucose concentrations close to those utilized in current first generation technology a (ranging between 156.0 g.L⁻¹ and 168.3 g.L⁻¹). However rough estimates for scaling up the reactor to industrial dimensions indicate that this conventional reactor design must be replaced by a two-stage reactor, to minimize the volume of liquid to be stirred.<br>A crescente demanda por combustíveis líquidos, bem como a diminuição das reservas de petróleo, inevitáveis a longo prazo, induzem pesquisas por novas fontes de energia. Uma possível solução é o uso do bioetanol, produzido de resíduos, como o bagaço de cana-deaçúcar. Dois terços da biomassa cultivada são bagaço e folhas. Estas frações não são fermentescíveis quando se usa a tecnologia de primeira geração atual (1G). Um grande interesse vem sendo prestado a técnicas capazes de utilizar os carboidratos deste material. Dentre elas, a produção de etanol de segunda geração (2G) é uma possível alternativa. Etanol 2G requer duas operações adicionais: etapas de pré-tratamento e hidrólise. Considerando a hidrólise, a técnica dominante tem sido a utilização de complexos enzimáticos para hidrolisar o substrato lignocelulósico. Para assegurar a viabilidade do processo, uma alta concentração final de glicose é necessária ao final do processo. Para atingir esse objetivo, uma alta concentração de sólidos no reator é necessária. No entanto, uma carga grande de sólidos gera uma série de dificuldades operacionais para o processo. Este é um gargalo crucial do processo 2G. Uma possível solução é utilizar um processo de batelada alimentada, com perfis de alimentação de enzima e substrato para aumentar produtividade e rendimento. O principal objetivo deste trabalho é implementar e testar um sistema para inferir concentração de carboidratos fermentescíveis automaticamente e otimizar a política de substrato e/ou enzima em tempo real, de acordo com uma estratégia de controle baseada em modelo cinético. Experimentos de batelada e batelada alimentada foram realizados a fim de testar a aderência de 4 modelos cinéticos simplificados. O modelo com melhor aderência aos dados experimentais (um modelo de Michaelis-Mentem modificado com inibição por produto) foi utilizado para gerar dados a fim de treinar uma rede neural artificial para predizer concentrações de glicose automaticamente. Em estudos futuros, esta rede pode ser utilizada para compor o fechamento da malha de controle. Um otimizador de perfil de alimentação foi implementado, este foi baseado em uma abordagem de controle ótimo. A rede neural foi capaz de predizer a concentração de produto com os dados disponíveis de maneira satisfatória (Coeficiente de Determinação de 0.972). O algoritmo de otimização gerou perfis que aumentaram a performance do processo enquanto manteve as condições da hidrólise dentro de níveis operacionais, e gerou concentrações de glicose próximas as obtidas pelo caldo de cana-de-açúcar da primeira geração (valores entre 156.0 g.L ¹ e 168.3 g.L ¹). No entanto, estimativas iniciais de ⁻ ⁻ aumento de escala do processo demonstraram que para atingir dimensões industriais o projeto do reator utilizado deve ser analisado, substituindo o mesmo por um processo em dois estágios para diminuir o volume do reator e energia para agitação.

APA, Harvard, Vancouver, ISO, and other styles

4

Aziz, Norashid. "Dynamic optimisation and control of batch reactors : development of a general model for batch reactors, dynamic optimisation of batch reactors under a variety of objectives and constraints and on-line tracking of optimal policies using different types of advanced control strategies." Thesis, University of Bradford, 2001. http://hdl.handle.net/10454/4402.

Full text

Abstract:

Batch reactor is an essential unit operation in almost all batch-processing industries. Different types of reaction schemes (such as series, parallel and complex) and different order of model complexity (short-cut, detailed, etc. ) result in different sets of model equations and computer coding of all possible sets of model equations is cumbersome and time consuming. In this work, therefore, a general computer program (GBRM - General Batch Reactor Model) is developed to generate all possible sets of equations automatically and as required. GBRM is tested for different types of reaction schemes and for different order of model complexity and its flexibility is demonstrated. The above GBRM computer program is lodged with Dr. I. M. Mujtaba. One of the challenges in batch reactors is to ensure desired performance of individual batch reactor operations. Depending on the requirement and the objective of the process, optimisation in batch reactors leads to different types of optimisation problems such as maximum conversion, minimum time and maximum profit problem. The reactor temperature, jacket temperature and jacket flow rate are the main control variables governing the process and these are optimised to ensure maximum benefit. In this work, an extensive study on mainly conventional batch reactor optimisation is carried out using GBRM coupled with efficient DAEs (Differential and Algebraic Equations) solver, CVP (Control Vector Parameterisation) technique and SQP (Successive Quadratic Programming) based optimisation technique. The safety, environment and product quality issues are embedded in the optimisation problem formulations in terms of constraints. A new approach for solving optimisation problem with safety constraint is introduced. All types of optimisation problems mentioned above are solved off-line, which results to optimal operating policies. The off-line optimal operating policies obtained above are then implemented as set points to be tracked on-line and various types of advanced controllers are designed for this purpose. Both constant and dynamic set points tracking are considered in designing the controllers. Here, neural networks are used in designing Direct Inverse and Inverse-Model-Based Control (IMBC) strategies. In addition, the Generic Model Control (GMC) coupled with on-line neural network heat release estimator (GMC-NN) is also designed to track the optimal set points. For comparison purpose, conventional Dual Mode (DM) strategy with PI and PID controllers is also designed. Robustness tests for all types of controllers are carried out to find the best controller. The results demonstrate the robustness of GMC-NN controller and promise neural controllers as potential robust controllers for future. Finally, an integrated framework (BATCH REACT) for modelling, simulation, optimisation and control of batch reactors is proposed.

APA, Harvard, Vancouver, ISO, and other styles

5

Pennaz, Eric James. "Conceptual Design of Biorefineries Through the Synthesis of Optimal Chemical-reaction Pathways." Thesis, 2011. http://hdl.handle.net/1969.1/ETD-TAMU-2011-08-9950.

Full text

Abstract:

Decreasing fossil fuel reserves and environmental concerns necessitate a shift toward biofuels. However, the chemistry of many biomass to fuel conversion pathways remains to be thoroughly studied. The future of biorefineries thus depends on developing new pathways while optimizing existing ones. Here, potential chemicals are added to create a superstructure, then an algorithm is run to enumerate every feasible reaction stoichiometry through a mixed integer linear program (MILP). An optimal chemical reaction pathway, taking into account thermodynamic, safety, and economic constraints is then found through reaction network flux analysis (RNFA). The RNFA is first formulated as a linear programming problem (LP) and later recast as an MILP in order to solve multiple alternate optima through integer cuts. A graphical method is also developed in order to show a shortcut method based on thermodynamics as opposed to the reaction stoichiometry enumeration and RNFA methods. A hypothetical case study, based on the conversion of woody biomass to liquid fuels, is presented at the end of the work along with a more detailed look at the glucose and xylose to 2-mthyltetrahydrofuran (MTHF) biofuel production pathway.

APA, Harvard, Vancouver, ISO, and other styles

6

Huang, Hsien-Shun, and 黃顯順. "Optimal Voltage and Reactive Power Control in the Regional Transmission Network." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/97564949668503701908.

Full text

Abstract:

碩士<br>國立臺灣科技大學<br>電機工程系<br>101<br>Since the high population density in Taiwan makes installation of power facilities and substation more difficult, the problems of a power system become more complicated. In order to improve the quality of a power transmission system, the voltage of a regional power transmission network must be regulated appropriately to reduce damages of facilities and transmission loss. To this purpose, the first study investigates the operation rules of commonly used voltage control devices in Taipower, several references about the optimal algorithms, and the specifications of operation requirement of Taipower. Then, the PSS/E and Matlab are used to analyze the power system characteristics in Hualien-Taitung Region. This thesis applies and compares the Hybrid Differential Evolution (HDE), Particle Swarm Optimization with Linear Decreasing Inertia Weight (PSO-LDIW), Constriction Particle Swarm Optimization (CPSO), and Particle Swarm Optimization with Nonlinear Inertia Weight with Dynamical Adaption (PSO-NIW) to optimal dispatch and control of the voltage and reactive power problems. The purpose is to reduce the magnitude of over voltage bus and transmission line loss in the Hualien-Taitung Region. The results show that PSO-NIW has the best effects. The solution is close to the practical discrete dispatch, so that the PSO-NIW is suitable for the optimal problems in the thesis. The result can be as a reference for the system dispatcher.

APA, Harvard, Vancouver, ISO, and other styles

7

Lee, Hang-Sheng, and 李亨聲. "Optimal Reactive Power Dispatch of Transmission Systems UsingGenetic Algorithm and Artificial Neural Networks." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/b62732.

Full text

Abstract:

碩士<br>國立臺北科技大學<br>電機工程系所<br>93<br>This thesis aims to do the optimal reactive power dispatch of transmission systems. The purpose is to assist dispatch persons to do more correct, economic, and secure dispatch. The dispatch of reactive power is important and difficult to do. Nowadays, the dispatches are almost from operators'' experiences. The compensators of over-voltage or under-voltage are used. However, the large amount of underground cables are built to power systems, the dynamic and steady-state stability is different from those before the Sixth transmission systems. The assistant from optimal reactive power dispatch is an important thing. The assistant from optimal reactive power dispatch is an important thing. This paper is proposed genetic algorithm to do an optimal shunt capacity dispatch of a transmission system. To modify the bus voltage to reasonable margin, avoid the risk of a voltage collapse. For the dispatch, the artificial neural network is applied to learn the dispatches from optimal methods by GA, a data-reduction skill was used by principal component analysis. It can decrease the number of input and increase the speed of the artificial neural network. Simulation results show that the proposed algorithm obtains the good performances on the transmission system.

APA, Harvard, Vancouver, ISO, and other styles

8

Zubo, Rana H. A., Geev Mokryani, Haile S. Rajamani, Raed A. Abd-Alhameed, and Yim Fun Hu. "Stochastic approach for active and reactive power management in distribution networks." 2017. http://hdl.handle.net/10454/12600.

Full text

Abstract:

Yes<br>In this paper, a stochastic method is proposed to assess the amount of active and reactive power that can be injected/absorbed to/from grid within a distribution market environment. Also, the impact of wind power penetration on the reactive and active distribution-locational marginal prices is investigated. Market-based active and reactive optimal power flow is used to maximize the social welfare considering uncertainties related to wind speed and load demand. The uncertainties are modeled by Scenario-based approach. The proposed model is examined with 16-bus UK generic distribution system.<br>Supported by the Higher Education Ministry of Iraqi government.

APA, Harvard, Vancouver, ISO, and other styles

9

Zubo, R. H. A., Geev Mokryani, Haile S. Rajamani, Raed A. Abd-Alhameed, and Yim Fun Hu. "Stochastic approach for active and reactive power management in distribution networks." 2002. http://hdl.handle.net/10454/12600.

Full text

Abstract:

Yes<br>In this paper, a stochastic method is proposed to assess the amount of active and reactive power that can be injected/absorbed to/from grid within a distribution market environment. Also, the impact of wind power penetration on the reactive and active distribution-locational marginal prices is investigated. Market-based active and reactive optimal power flow is used to maximize the social welfare considering uncertainties related to wind speed and load demand. The uncertainties are modeled by Scenario-based approach. The proposed model is examined with 16-bus UK generic distribution system.<br>Supported by the Higher Education Ministry of Iraqi government.

APA, Harvard, Vancouver, ISO, and other styles

10

Mokgonyana, Lesiba. "A heuristic optimal approach for coordinated volt/var control in distribution networks." Diss., 2015. http://hdl.handle.net/2263/43905.

Full text

Abstract:

This dissertation focuses on daily volt/var control in distribution networks with feeder capacitors, substation capacitors and transformers equipped with on-load tap changers. A hybrid approach is proposed to solve the daily volt/var control problem. To reduce the computational requirements of the problem, this approach combines two methods, namely heuristic and optimal scheduling for the substation and feeder sub-problems respectively. The feeder capacitor dispatch schedule is determined based on a heuristic reactive power setpoint method. At this stage the objective is to minimize the reactive power flow through the substation bus in every time-interval. And as such, mathematical modeling of the distribution network components is adapted to suit time-varying conditions. Furthermore, an optimization model to determine a proper dispatch schedule of the substation devices is formulated. The objective of this model is to minimize the daily total energy loss and voltage deviations. Additionally, the reference voltage of the substation secondary bus and the transformer tap position limits are modified to adapt to given load profiles. The optimization model is solved with a discrete particle swarm optimization algorithm, which incorporates Newton’s method to determine the power-flow solution. The proposed method is applied to a time-varying distribution system and evaluated under different operational scenarios. It is also compared to on-line volt/var control with various settings. Simulation results show that the proposed approach minimizes both the voltage deviations and the total energy loss, while on-line control prioritizes one objective over the other depending on the specified settings.<br>Dissertation (MEng)--University of Pretoria, 2015.<br>Electrical, Electronic and Computer Engineering<br>Unrestricted

APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Optimal reaction networks"

1

Krieger, Spencer, and John Kececioglu. "Computing Robust Optimal Factories in Metabolic Reaction Networks." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-1-0716-3989-4_16.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Cardelli, Luca, Milan Češka, Martin Fränzle, et al. "Syntax-Guided Optimal Synthesis for Chemical Reaction Networks." In Computer Aided Verification. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63390-9_20.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Li, Yan, Pan-pan Jing, De-feng Hu, et al. "Optimal Reactive Power Dispatch Using Particle Swarms Optimization Algorithm Based Pareto Optimal Set." In Advances in Neural Networks – ISNN 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01513-7_17.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Yoo, Myungsik, and Junho Hwang. "Optical Burst Control Algorithm for Reducing the Effect of Congestion Reaction Delay." In NETWORKING 2007. Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72606-7_117.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Ly, Sidy, Lena Tendeng, Mouhamadou A. M. T. Balde, Diene Ngom, and Diaraf Seck. "Stochastic Reaction Network Modeling and Optimal Control for Covid-19." In Trends in Mathematics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04616-2_5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Shayeghi, Hossein, and Yashar Hashemi. "Optimal Placement of Reactive Power Compensators in AC Power Network." In Power Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51118-4_9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Schiefer, Nicholas, and Erik Winfree. "Universal Computation and Optimal Construction in the Chemical Reaction Network-Controlled Tile Assembly Model." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21999-8_3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Lee, Hae-Joung, Kyu-Yeop Song, Won-Ho So, et al. "A Hybrid Restoration Scheme Based on Threshold Reaction Time in Optical Burst-Switched Networks." In Computational Science and Its Applications – ICCSA 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24768-5_107.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Huy, Truong Hoang Bao, Tung Tran The, Khoa Hoang Truong, Dieu Ngoc Vo, and Thanh Tran Van. "Optimal Reactive Power Dispatch with Renewable Energy Sources Using Improved Neural Network Algorithm." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8703-0_54.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Talbi, El Hachmi, Mustapha El Moudden, Fadwa Baijou, and Lhoussine Abaali. "Robust Deterministic Optimization Approach for Optimal Reactive Energy Management in Electrical Transmission Network." In Advances in Electrical Systems and Innovative Renewable Energy Techniques. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-49772-8_26.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Optimal reaction networks"

1

Mukherjee, Angan, and Debangsu Bhattacharyya. "Development of Steady-State and Dynamic Mass-Energy Constrained Neural Networks using Noisy Transient Data." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.127425.

Full text

Abstract:

This paper presents the development of algorithms for mass-energy constrained neural network (MECNN) models that can exactly conserve the overall mass and energy of distributed chemical process systems, even though the noisy steady-state/transient data used for optimal model training violate the same. For developing dynamic mass-energy constrained network models for distributed systems, hybrid series and parallel dynamic-static neural networks are used as candidate architectures. The proposed approaches for solving both the inverse and forward problems are validated considering both steady-state and dynamic data in presence of various noise characteristics. The proposed network structures and algorithms are applied to the development of data-driven models of a nonlinear non-isothermal reactor that involves an exothermic reaction making it significantly challenging to exactly satisfy the mass and energy conservation laws of the system only by using the available input and output boundary conditions.

APA, Harvard, Vancouver, ISO, and other styles

2

Iftakher, Ashfaq, and M. M. Faruque Hasan. "Exploring Quantum Optimization for Computer-aided Molecular and Process Design." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.143809.

Full text

Abstract:

Computer-aided Molecular and Process Design (CAMPD) is an equation-oriented multi-scale decision making framework for designing both materials (molecules) and processes for separation, reaction, and reactive separation whenever material choice significantly impacts process performance. The inherent nonlinearity and nonconvexity in CAMPD optimization models, introduced through the property and process models, pose challenges to state-of-the-art solvers. Recently, quantum computing (QC) has shown promise for solving complex optimization problems, especially those involving discrete decisions. This motivates us to explore the potential usage of quantum optimization techniques for solving CAMPD problems. We have developed a technique for directly solving a class of mixed integer nonlinear programs using QC. Our approach represents both continuous and integer design decisions by a set of binary variables through encoding schemes. This transformation allows to reformulate certain types of CAMPD problems into Quadratic Unconstrained Binary Optimization (QUBO) models that can be directly solved using quantum annealing techniques. We illustrate this technique for the selection of optimal ionic liquids (IL) and the configuration of a reactor-separator process network. We also discuss several challenges that are associated with quantum optimization when solving large scale CAMPD problems.

APA, Harvard, Vancouver, ISO, and other styles

3

Fu, Hongyu, Liang Wang, Zhengwen Hu, Yongchen Ping, and Daifu Fan. "Reactive Voltage Optimal Control of Distribution Networks Based on Deep Reinforcement Learning with Deep Q Network." In 2024 International Conference on Integrated Intelligence and Communication Systems (ICIICS). IEEE, 2024. https://doi.org/10.1109/iciics63763.2024.10859506.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Alhamed, Faris, Andrea Sgambelluri, Chrysa Papagianni, and Francesco Paolucci. "In-band Collection and Control of End-to-end Latency in Programmable Packet-Optical Networks." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.m3h.4.

Full text

Abstract:

A novel programmable INT collector, acting as active controller within the data plane, is proposed to enable fast closed-loop flow latency monitoring. Experimental evaluation on P4-based hardware switches demonstrates assurance reactions within few microseconds.

APA, Harvard, Vancouver, ISO, and other styles

5

Wuilpart, Marc, Sung-Moon Kim, Alessandro Danisi, Prasad Dandu, and Andrei Gusarov. "Plasma diagnosis for the ITER fusion reactor using a polarimetric fibre sensor." In 2024 24th International Conference on Transparent Optical Networks (ICTON). IEEE, 2024. http://dx.doi.org/10.1109/icton62926.2024.10647718.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Jana, Debashis, Chandrika Biswas, Ayush Bera, and Ranjita Chowdhury. "Optimal Capacitor Placement and Sizing by Controlling Reactive Power in Distribution Networks." In 2025 8th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech). IEEE, 2025. https://doi.org/10.1109/iementech65115.2025.10959354.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Ye, Zhizang, Yubo Yuan, Qiangsheng Bu, et al. "Active and Reactive Power Coordinated Optimal Dispatch for Distribution Networks with High Penetration of Distributed PVs." In 2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2024. https://doi.org/10.1109/appeec61255.2024.10922664.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Li, Kuanhong, Siyang Cao, Zhongbo Xiao, Dehuai Li, and Yicen Wang. "Research on Optimal Power Flow Algorithm of Reactive Voltage in Distribution Network Based on Improved PSO." In 2024 3rd Asia Power and Electrical Technology Conference (APET). IEEE, 2024. https://doi.org/10.1109/apet63768.2024.10882837.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Chen, Zheng Gen, Jin-Wei Chang, Chiang Chen, Chi-Yu Li, Ching-Chun Huang, and Li-Chun Wang. "Horizontal Pod Autoscaling for Precise Startup of AI Microservices at the Network Edge: A Hybrid Proactive and Reactive Approach." In 2024 33rd Wireless and Optical Communications Conference (WOCC). IEEE, 2024. https://doi.org/10.1109/wocc61718.2024.10786044.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Briat, Corentin, and Mustafa Khammash. "Continuous-Time and Sampled-Data Optimal Control of Linear Stochastic Reaction Networks." In 2022 IEEE 61st Conference on Decision and Control (CDC). IEEE, 2022. http://dx.doi.org/10.1109/cdc51059.2022.9993017.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Optimal reaction networks"

1

BACCELLI, François, Sébastien CANDEL, Guy PERRIN, and Jean-Loup PUGET. Large Satellite Constellations: Challenges and Impact. Académie des sciences, 2024. http://dx.doi.org/10.62686/3.

Full text

Abstract:

The New Space Age (NewSpace) marks the advent of a new era in the use of space, characterized by the opening of space to new players, the use of new space technologies, new functionalities for satellites in orbit, and the development of satellite constellations, mainly in the fields of communications and Earth observation. These developments are underpinned by first-rate scientific and technological advances, as well as considerable public and private investment, in particular in the USA, China and, to a lesser extent, Europe. Fleets of small low- and medium-orbit satellites are replacing or complementing the large geostationary satellites that predominated in the previous period. Whereas space used to be reserved to a small number of states and major industrial groups, one is now witnessing the emergence of new space states, new industrial groups such as SpaceX or Amazon, and many start-ups. One also observes the emergence of companies with launching and satellite manufacturing capacities, which are also taking on the role of telecommunication operators and content producers. The most visible result of the deployment of these new space networks is the ability to provide high-speed, low-latency Internet connections to any point on the globe. Combined with Earth observation capabilities, these new communications resources also enable real-time action to be taken in any region, including those with no equipment other than terminals. In addition, these space networks are remarkably resilient compared with terrestrial networks. Geostrategic and military considerations combine with rapidly evolving business models to explain the massive investments currently being made in this domain. However, the lack of international regulation in the field is leading to a race to occupy orbits and frequencies, which has already had serious consequences for a whole range of scientific activities. These constellations have a potentially negative impact on astronomy in the visible and infrared optical domains, as well as on radio astronomy. They also raise a major problem in terms of space congestion, with an increase in the amounts of satellite debris resulting from launches or collisions between satellites, and the possibility of reaching a phase of chain reaction collisions. In addition, from an environmental point of view, the consequences of the proliferation of launches and uncontrolled re-entries into the atmosphere are equally worrying. What’s more, the lack of regulation in the field also leads to a loss of sovereignty, since these new satellite communication networks do not comply with any of the rules that states impose on terrestrial communication networks operating on their territories. A sustainable, global solution must be found to these problems, before major and potentially irreversible damage is inflicted on the planet’s environment, geostrategic balances, democracy, and science. While the Acad´emie des Sciences considers that France and Europe need to step up their scientific and industrial actions in this field in order to benefit from the remarkable advances of these new networks, and ultimately leverage the benefits of a resilient and secure communications network, the Acad´emie also recommends working in parallel to strengthen regulation of the field with the aim of assuring sustainable access to orbital and frequency resources, as well as protection for negatively impacted fields, foremost among which are astronomy and the environment.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!