Relevant bibliographies by topics / Ramp constraints

Academic literature on the topic 'Ramp constraints'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Ramp constraints"

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Oren, Shmuel S., and Andrew M. Ross. "Can we prevent the gaming of ramp constraints?" Decision Support Systems 40, no. 3-4 (October 2005): 461–71. http://dx.doi.org/10.1016/j.dss.2004.05.008.

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Frangioni, Antonio, Claudio Gentile, and Fabrizio Lacalandra. "Solving unit commitment problems with general ramp constraints." International Journal of Electrical Power & Energy Systems 30, no. 5 (June 2008): 316–26. http://dx.doi.org/10.1016/j.ijepes.2007.10.003.

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Park, Yong-Gi, Jong-Bae Park, Jae-Hyung Roh, Hyeong-Jung Kim, and Jung-Rin Shin. "Multi-Stage Generation Allocation Game Considering Ramp-rate Constraints." Transactions of The Korean Institute of Electrical Engineers 60, no. 3 (March 1, 2011): 509–16. http://dx.doi.org/10.5370/kiee.2011.60.3.509.

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Li, Xin, Jingang Lai, and Ruoli Tang. "A Hybrid Constraints Handling Strategy for Multiconstrained Multiobjective Optimization Problem of Microgrid Economical/Environmental Dispatch." Complexity 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/6249432.

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Microgrid (MG) economical/environmental dispatch (MGEED) problem is a complex multiobjective optimization topic. Since the generators are diversified and the operation mode changes frequently, the MGEEED problem always has different types of constraints, such as the load balance constraints and the ramp rates constraints, which make it a nonlinear, nonconvex optimization problem. In this paper, the mathematical model of a typical MG system applied in northwest China is established. Then, a hybrid constraints handling strategy (HCHS) based on nondominated sorting genetic algorithm II (NSGAII) is proposed to deal with the typical constraints, by which the constraints violations can be removed in several steps during the evolutionary process. A dimensionality reduction method is introduced to simplify the optimization model. And an individual repair approach is designed for the violations of ramp rates constraints. In order to balance the weights of various types of constraints, the process of constraints handling in standard NSGAII is revised. Thereafter, HCHS-NSGAII is applied to some typical MGEED problems, considering all kinds of typical constraints. The results show that HCHS-NSGAII can obtain feasible Pareto sets with satisfactory convergence and distribution, which is efficient in handling complex practical industrial MGEED problems with the change of constraints combinations.
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Vincenzi, P., R. Ambrosino, J. F. Artaud, T. Bolzonella, L. Garzotti, G. Giruzzi, G. Granucci, et al. "EU DEMO transient phases: Main constraints and heating mix studies for ramp-up and ramp-down." Fusion Engineering and Design 123 (November 2017): 473–76. http://dx.doi.org/10.1016/j.fusengdes.2017.02.064.

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Shi, Ming, Xiaojun Lin, and Sonia Fahmy. "Competitive Online Convex Optimization With Switching Costs and Ramp Constraints." IEEE/ACM Transactions on Networking 29, no. 2 (April 2021): 876–89. http://dx.doi.org/10.1109/tnet.2021.3053910.

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Khoo, Hooi Ling. "Dynamic penalty function approach for ramp metering with equity constraints." Journal of King Saud University - Science 23, no. 3 (July 2011): 273–79. http://dx.doi.org/10.1016/j.jksus.2010.12.004.

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Svoboda, A. J., Chung-Li Tseng, Chao-An Li, and R. B. Johnson. "Short-term resource scheduling with ramp constraints [power generation scheduling]." IEEE Transactions on Power Systems 12, no. 1 (1997): 77–83. http://dx.doi.org/10.1109/59.574926.

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Patra, S., S. K. Goswami, and B. Goswami. "Differential Evolution Algorithm for Solving Unit Commitment with Ramp Constraints." Electric Power Components and Systems 36, no. 8 (June 17, 2008): 771–87. http://dx.doi.org/10.1080/15325000801911377.

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Zhang, Lei, and Jun Liu. "Dynamic Economic Emission Dispatch Using Multi-Objective Hybrid Evolutionary Algorithm." Applied Mechanics and Materials 291-294 (February 2013): 2154–58. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2154.

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Dynamic economic emission dispatch (DEED) is an important optimization task for power plants. The problem is a highly constrained multi-objective optimization problem involving conflicting objectives with both equality and inequality constraints. This paper introduces two objective functions of DEED model: the lowest generation cost and the smallest carbon emissions with power balance constraints, unit output constraints and unit ramp rate limits. Then the paper presents a multi-objective hybrid evolutionary algorithm (MHEA) to solve the DEED model. The MHEA is a hybrid optimization algorithm based on orthogonal initialization, improved differential operation with migration strategy, parameter adaptive control, multi-objective selection strategy and analytic hierarchy process based fuzzy technique (AFT). Numerical results of one test system demonstrate the capabilities of the proposed approach. Compared with other classical methods, the proposed approach gets better result.
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Dissertations / Theses on the topic "Ramp constraints"

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Sheikh, Hussin Siti Aida. "Employees Provident Fund (EPF) Malaysia : generic models for asset and liability management under uncertainty." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/7505.

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We describe Employees Provident Funds (EPF) Malaysia. We explain about Defined Contribution and Defined Benefit Pension Funds and examine their similarities and differences. We also briefly discuss and compare EPF schemes in four Commonwealth countries. A family of Stochastic Programming Models is developed for the Employees Provident Fund Malaysia. This is a family of ex-ante decision models whose main aim is to manage, that is, balance assets and liabilities. The decision models comprise Expected Value Linear Programming, Two Stage Stochastic Programming with recourse, Chance Constrained Programming and Integrated Chance Constraints Programming. For the last three decision models we use scenario generators which capture the uncertainties of asset returns, salary contributions and lump sum liabilities payments. These scenario generation models for Assets and liabilities were developed and calibrated using historical data. The resulting decisions are evaluated with in-sample analysis using typical risk adjusted performance measures. Out- of- sample testing is also carried out with a larger set of generated scenarios. The benefits of two stage stochastic programming over deterministic approaches on asset allocation as well as the amount of borrowing needed for each pre-specified growth dividend are demonstrated. The contributions of this thesis are i) an insightful overview of EPF ii) construction of scenarios for assets returns and liabilities with different values of growth dividend, that combine the Markov population model with the salary growth model and retirement payments iii) construction and analysis of generic ex-ante decision models taking into consideration uncertain asset returns and uncertain liabilities iv) testing and performance evaluation of these decisions in an ex-post setting.
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Zhou, Yue. "Trajectory planning strategies of connected automated vehicles for cooperative on-ramp merging and mainline facilitating Maneuvers." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/132687/1/Yue_Zhou_Thesis.pdf.

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This work develops two trajectory planning strategies for future connected automated vehicles (CAVs) to carry out automatic on-ramp merging and mainline facilitating (i.e. gap development) maneuvers. Both proposed strategies are based on constrained optimal control problems. The second strategy features the ability to mitigate the impact of a mainline gap development movement on the traffic following behind so as to enhance traffic safety. Analytical solutions are rigorously derived for the optimal control problems using the Pontryagin Maximum Principle without making any assumptions or ad hoc treatments in order to reduce the analytical difficulty. The obtained analytical solutions are implemented in a model predictive control framework to accommodate constantly changing external environments. Large scale simulations indicate that both the strategies, particularly the second strategy, are beneficial to traffic safety under mixed environments of CAV and human-driven vehicles.
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Moxotó, Ana Claudia de Araújo. "Aplicação da contabilidade de ganhos numa empresa do ramo metalúrgico do Pólo Industrial de Manaus." Universidade Federal do Amazonas, 2009. http://tede.ufam.edu.br/handle/tede/3585.

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Made available in DSpace on 2015-04-22T22:11:15Z (GMT). No. of bitstreams: 1 Ana Claudia Moxoto.pdf: 748499 bytes, checksum: 79ddfb97f7a28eaddce5f2a8804814ff (MD5) Previous issue date: 2009-12-11
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
One of the management decisions more complex and important to the success of the company is determining the mix of products to be sold and manufactured. The product mix directly influences business competitiveness. The information system of management accounting to make the connection between the actions of local managers and profitability. It is necessary that this measure properly the impact of local decisions on the overall performance of the organization. This study aimed to verify the implementation of Accounting Earnings, tool of the Theory of Constraints (TOC), to calculate the result of a financial company in the metallurgical industry, trying to analyze the relevance of it in management decisions. For teaching purposes, the simulations were done through scenarios which examined the various proposed solutions to the problems encountered, such as determining the mix of sales. It is possible that, by accounting earnings, decisions aimed at profitability and profitability of the company and due to the simple understanding by managers of production, can assist in making day-to-day manufacturing. Correctly measure the impact of local decisions on the overall performance
Uma das decisões gerenciais mais complexas e importantes para o sucesso da empresa é a determinação do mix de produtos a ser vendidos e fabricados. O mix de produtos influencia diretamente a competitividade empresarial. O sistema de informação de contabilidade gerencial deve fazer a conexão entre as ações locais dos gestores e a lucratividade da empresa. É necessário que este meça corretamente o impacto de decisões locais no desempenho global da organização. Objetivo deste estudo foi verificar a aplicação da Contabilidade de Ganhos, ferramenta da Teoria das Restrições (TOC), para apuração resultado do financeiro de uma Empresa do ramo metalúrgico, buscando analisar a relevância da mesma na tomada de decisões gerenciais. Para fins didáticos, as simulações foram feitas através de cenários onde se analisou as várias propostas de solução para os problemas encontrados, tal como determinação do Mix de Vendas. Verificou-se que é possível, através da contabilidade de ganhos, a tomada de decisões orientadas para rentabilidade e lucratividade da empresa. Esta ferramenta é de simples entendimento pelos gestores de produção, podendo assim auxiliar em decisões do dia-a-dia da manufatura
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"Real-time multistage dynamic economic dispatch with security, regulating margin and ramp rate constraints." Tulane University, 1995.

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The Constrained Economic Dispatch Problem was formulated and a detailed method of solving it using a Lagrange Multiplier approach was developed. The method developed is a non-linear, primal-dual technique that uses forward elimination and back substitution applied to the Hessian matrix and gradient vector of the Lagrangian in conjunction with: (1) Constraint Linearization; (2) Traumatic Events; (3) Relaxable Constraints; (4) Implicit Dual Variables; (5) Discrimination; (6) Tracking Starts; and (7) Most Violated Constraint Logic, to obtain a reliable solution in a time frame suitable for real-time economic dispatch. A fast method of calculating the true system incremental cost and the incremental costs of all binding constraints in the presence of a relaxed constraint was also developed. The optimization theory was converted to software on Entergy Corporation's Bulk Power Management System and extensive tests were conducted which verified the expected high performance of the methodology Constrained optimum dispatch solutions were obtained for network security constraints in the form of area import, line mva, line mw and line group mw constraints. Using special techniques under a traumatic event framework, power system regulating margin constraints and generating unit ramp rate constraints were formulated and added to the software developed for honoring network constraints. In addition, the network security, the regulating margin and the ramp rate constraints were combined in 1 and 2-stage constrained dynamic economic dispatch formulations of the problem. Solutions were routinely obtained for overconstrained and parallel constraint cases Using Entergy data, dynamic load tests showed that a static dispatch violates the generating unit ramp rate limits and therefore is not truly an optimum dispatch. Consequently, the unit output power dynamic trajectories are significantly different from the static trajectories. Performance benefits produced by a dynamic constrained dispatch accrue also from the calculation of the incremental costs of holding generating unit ramp rate limits and regulating margins and the implementation of a multi-step relaxable regulating margin constraint. Additional benefits accrue by decomposing the regulating margin into one component which is specified by the system operator and a second component which is estimated automatically A mathematical proof of convergence of the methodology and mathematical proofs of all optimization techniques developed are presented
acase@tulane.edu
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Books on the topic "Ramp constraints"

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Hisama, Ellie M. Improvisation in Freestyle Rap. Edited by Benjamin Piekut and George E. Lewis. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199892921.013.24.

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This chapter explores the process of improvisation by emcees in freestyle, or improvised, rap. Drawing on interviews with and writings by freestyle practitioners as well as on recent scholarship in linguistic anthropology, social psychology, and sociology, it argues that freestyle is an everyday activity and a fundamentally social act. The chapter examines a recent study that uses functional magnetic resonance imaging (fMRI) to measure cognitive activity of improvising emcees, and it suggests that the study’s physical constraints on the emcees, its focus on emcees in isolation rather than on those improvising in a cipher (a group of people who take turns improvising rhymes), and its lack of attention to the effects of gender, race, ethnicity, and other identifications on freestyle performance limit the force of its conclusions.
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Book chapters on the topic "Ramp constraints"

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Bacci, Tiziano, Antonio Frangioni, and Claudio Gentile. "Start-up/Shut-Down MINLP Formulations for the Unit Commitment with Ramp Constraints." In AIRO Springer Series, 335–47. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63072-0_26.

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Kallenbach, Emilie M. F., Elisabeth S. Rødland, Nina T. Buenaventura, and Rachel Hurley. "Microplastics in Terrestrial and Freshwater Environments." In Microplastic in the Environment: Pattern and Process, 87–130. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78627-4_4.

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AbstractIn recent years, the focus of microplastic research has begun to observe a shift from the marine towards terrestrial and freshwater environments. This is in response to a greater awareness of the predominance of land-based sources in marine microplastic contamination. In this regard, terrestrial and freshwater environments are often perceived as conduits for microplastic particles to the oceans, but this overlooks substantial and important complexities associated with these systems, as well as the need to protect these ecosystems in their own right. This chapter focuses on several critical sources and pathways deemed to be highly important for the release of microplastics to the environment. These include road-associated microplastic particles (RAMP) and emissions related to agriculture that are, thus far, under-researched. Transfers and accumulations of particles within terrestrial and freshwater systems are also reviewed, including the state of knowledge on the occurrence of microplastics in different environmental compartments (air, water, sediments, biota). Methodological constraints are addressed, with particular focus on the need for greater harmonisation along all stages of sampling, analysis, and data handling. Finally, the chapter discusses the ultimate fate of particles released to terrestrial and freshwater environments and highlights critical research gaps that should be addressed to evolve our understanding of microplastic contamination in complex and dynamic environmental systems.
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Maltesson, Nils, David Naccache, Elena Trichina, and Christophe Tymen. "Applet Verification Strategies for RAM-Constrained Devices." In Lecture Notes in Computer Science, 118–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36552-4_9.

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Roy, Provas Kumar, Moumita Pradhan, and Tandra Pal. "Evolutionary Algorithms for Economic Load Dispatch Having Multiple Types of Cost Functions." In Handbook of Research on Natural Computing for Optimization Problems, 201–26. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0058-2.ch009.

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This chapter presents various novel evolutionary algorithms, namely Real Coded Genetic Algorithm (RGA), two variants of Biogeography-Based Optimization (BBO), and three variants of Particle Swarm Optimization (PSO) in order to find the optimal power generation scheduling to simultaneously optimize fuel cost and power loss for solving constrained economic load dispatch problems of all thermal systems, considering multiple fuel operation and valve point effect. The effectiveness of the proposed algorithms is demonstrated in five different ELD problems, considering different constraints such as transmission losses, ramp rate limits, multi-fuel options and valve point loading. Comparative studies are carried out to examine the effectiveness and superiority of the proposed approaches. A comparison of simulation results reveals optimization usefulness of the proposed BBO scheme over other well established population based optimization techniques. It is also found that the convergence characteristics of the BBO algorithm are better than other optimization methods.
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Dzobo, Oliver, and Yanxia Sun. "Load Management Using Swarm Intelligence." In Advances in Environmental Engineering and Green Technologies, 1–27. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-8551-0.ch001.

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This chapter presents a generalized day-ahead combined dynamic economic emission dispatch (DEED) problem incorporating demand response (DR) strategy for power system networks with mutual communication between electricity customers and power utility. A nonconvex mixed binary integer programming technique is used to solve the demand response optimization problem. Fixed and flexible home appliances connected as load to the power system network are considered in the demand response strategy. The optimization of the DEED problem is done using particle swarm optimization (PSO) technique. The proposed PSO algorithm takes into account thermal power generation unit ramp rates and their power generation constraints.
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Corn, Geoffrey S. "Ratchet Down or Ramp Up?" In Between Crime and War, 223—C8.N*. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/oso/9780197638798.003.0009.

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Abstract An especially perplexing issues in international legal regulation of non-international armed conflict is the relationship between international humanitarian law (IHL) and international human rights law (IHRL). While most experts and states now recognize the complementary applicability of these two branches of law, translating this complementarity to operational practice remains difficult. This is exacerbated by characterization of military operations against transnational non-state organized armed groups transnationally. The challenge is most significant regarding authority to employ force. Neither body of law provides an ideal solution to this question in operations against non-state groups. On one hand, IHL provides expansive authority under status-based targeting, but in many situations this is too permissive. On the other hand, IHRL relies on more restrictive conduct-based targeting, but this can be ineffective in some cases in meeting a threat. This chapter asks whether operational practice has provided a practical response to this challenge. It suggests that the common practice of restricting IHL with rules of engagement that reflect IHRL principles indicates that outside the context of inter-state hostilities, IHRL provides the operational default use of force setting. This “setting” is subject to mission-specific expansion pursuant to international humanitarian law principles, but should be understood as more of a legal obligation than a purely policy-based constraint on conduct of hostilities authority.
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Jamaladdeen, Rawaa, Bruno Coudour, Fabienne Dédaldéchamp, Laurent Lemée, Jean-Pierre Garo, and Hui-Ying Wang. "Influence of combined hydric and thermal stresses on Rosmarinus officinalis and Cistus albidus." In Advances in Forest Fire Research 2022, 1665–70. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_255.

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Wildfires are a growing threat, especially in Mediterranean climate areas during periods of drought. Wildfire research community continues to investigate propagation mechanisms on a large scale considering the thermal and fluid mechanics effects, or the main fire emissions (CO, CO2, H2O, H2, CH4). However, research on the effect of abiotic stresses on the plant emission during wildfires remains lacking, despite the fact that Mediterranean are considered important BVOC emitting and storing species. This article addresses the effect of combined hydric and thermal stresses on the volatile’s emission behaviours of two important Mediterranean shrub species; Rosmarinus officinalis and Cistus albidus that are largely consumed in wildfires. Different levels of hydric stress were applied on plants of the two species in a greenhouse of the EBI laboratories of the University of Poitiers. Thermal stress was executed by placing the water stressed plants inside a hermetic enclosure equipped with a radiant panel of maximal radiant heat flux of 84kW.m-2 and a fire-resistant glazed window for visualisation. The gaseous emissions of the plants under thermal stresses were collected and analysed by two complementary devices: an instantaneous gas analyser for CO, CO2, H2 and CH4, and adsorbent tubes by using the techniques of adsorption and desorption (by pyrolysis) for emission collection and analyses, respectively. Simultaneous Py/GC-MS experiments were realised at IC2MP on a foliar scale of the water stressed plants in order to gain more control and precision in emission analyses. The heating tests showed a good reproducibility for pyrolyses of leaf samples and interesting variations between the monoterpene emissions of stressed and unstressed plants. At plant scale, number of tests for each plant species at a given hydric stress level were insufficient to give trends and strong results because of some imposed technical problems and the constraints of public health crisis. However, these tests allowed us to adapt experimental protocols and devices for further testing such as: plant location and fixation, heat flux ramp, sampling location, use of adsorbent tubes, hydric stress duration and normalisation of measured concentrations according to the plant size.
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Luyombya, David. "Management of Records and Archives in Uganda's Public Sector." In Handbook of Research on Heritage Management and Preservation, 275–97. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3137-1.ch014.

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This chapter discusses the role of the archives legislation, the national archives, and the records and archives management (RAM) training institutions in nurturing public records and archives management in Uganda's public sector (UPS). Specific areas addressed include the legal framework and regulations related to recordkeeping, the role of the Uganda National Archives (UNA) and RAM education and training institutions that train records and archives managers in the delivery of their services. It also reports findings of a study that investigated issues, controversies, and constraints bearing on the management of public sector records and archives in government of Uganda ministries.
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Chu, Rui, Nong Xiao, and Xicheng Lu. "A Push-Based Prefetching for Remote Caching RAM Grid." In Grid and Cloud Computing, 487–501. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0879-5.ch209.

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As an innovative grid computing technique for sharing the distributed memory resources in a high-speed wide-area network, RAM Grid exploits the distributed computing nodes, and provides remote memory for the user nodes which are short of memory. The performance of RAM Grid is constrained with the expensive network communication cost. In order to hide the latency of remote memory access and improve the performance, the authors proposed the push-based prefetching to enable the memory providers to push the potential useful pages to the user nodes. For each provider, it employs sequential pattern mining techniques, which adapts to the characteristics of memory page access sequences, on locating useful memory pages for prefetching. They have verified the effectiveness of the proposed method through trace-driven simulations.
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Conference papers on the topic "Ramp constraints"

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Badiei, Masoud, Na Li, and Adam Wierman. "Online convex optimization with ramp constraints." In 2015 54th IEEE Conference on Decision and Control (CDC). IEEE, 2015. http://dx.doi.org/10.1109/cdc.2015.7403279.

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Halaczek, Bartlomiej, and Martin Knight. "Campusbrücke Opladen - Applying Sustainable Design Strategies within Changing Constraints." In Footbridge 2022 (Madrid): Creating Experience. Madrid, Spain: Asociación Española de Ingeniería Estructural, 2022. http://dx.doi.org/10.24904/footbridge2022.261.

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<p>Footbridges facilitate pedestrian and cyclist travel which can promote a shift towards greener means of transportation and thus help reducing carbon emissions. Facing the challenges of climate change, further steps in the reduction of waste and carbon footprint must be taken, by addressing the structure and construction method itself.</p> <p>The Campus Bridge in Opladen, Germany, is a 100m long footbridge crossing a major multi-track rail corridor. The bridge, and its equally long access ramps, was developed following a selection of approaches recommended to reduce its impact on the environment. This includes easily recyclable weathering steel, clamped and bolted architectural fit-out elements, the intensive use of habitat-friendly gabion walls as an alternative to concrete retaining walls, and the preference of lansdscaped embankments to elevated access ramps. The bridge was built in a temporary condition in 2013, awaiting the urban developments on both ends to catch up, including the removal of a two-track rail corridor requiring a temporary extension of the bridge and a temporary access ramp. For the final set-up between 2018 and 2021 elements of the temporary ramp have been re-used for the final ramp and one bridge span has been re-adjusted to accommodate the new, shorter gradient. The paper will provide a case study discussing how the re-use of building components can be integrated in the design process to respond to varying constraints in order to reduce waste and save cost.</p>
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Hui Wu and H. B. Gooi. "Optimal scheduling of spinning reserve with ramp constraints." In IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233). IEEE, 1999. http://dx.doi.org/10.1109/pesw.1999.747264.

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Coupe, William J., Dejan Milutinovic, Waqar A. Malik, Gautam Gupta, and Yoon C. Jung. "Robot Experiment Analysis of Airport Ramp Area Time Constraints." In AIAA Guidance, Navigation, and Control (GNC) Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-4884.

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Li, Mengshi, Tianyao Ji, Qinghua Wu, and Peter Wu. "Economic dispatch with ramp constraints concerning wind power uncertainty." In 2014 IEEE Power & Energy Society General Meeting. IEEE, 2014. http://dx.doi.org/10.1109/pesgm.2014.6939404.

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Kiedanski, Diego, Ariel Orda, and Daniel Kofman. "The effect of ramp constraints on coalitional storage games." In e-Energy '19: The Tenth ACM International Conference on Future Energy Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3307772.3328300.

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Chandram, K., N. Subrahmanyam, and M. Sydulu. "Secant method for uUnit Commitment with ramp rate constraints." In 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. IEEE, 2008. http://dx.doi.org/10.1109/drpt.2008.4523589.

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Mehr, Negar, and Roberto Horowitz. "Probabilistic Freeway Ramp Metering." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9827.

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Ramp metering is proved to be an effective strategy for reducing or avoiding freeway traffic congestion. As a result, huge amount of research has been conducted on synthesizing effective ramp metering controls. In the previous works, freeway is assumed to be a deterministic system which is in contrast with the intrinsic stochastic nature and behavior of freeways. Our work focuses on bridging this gap, and we propose a framework for freeway ramp metering in a probabilistic setting. Our algorithm finds onramp flows in a freeway network while treating exogenous vehicular arrivals as random variables with known distributions, allowing for the network arrivals to conform with their stochastic nature. We use sampling techniques in a model predictive control setup to formulate a tractable approximation of our stochastic optimization. Furthermore, we demonstrate how to relax the non-linear constraints of our optimization to create a linear program with an augmented set of constraints. We prove that the solution of our linear program formulation is the same as the solution of the original mixed-integer formulation. We showcase the results of our algorithm on an exemplar freeway network and introduce multiple interesting future research directions that are important and can be pursued solely in a stochastic framework.
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Shi, Ming, Xiaojun Lin, Sonia Fahmy, and Dong-Hoon Shin. "Competitive Online Convex Optimization with Switching Costs and Ramp Constraints." In IEEE INFOCOM 2018 - IEEE Conference on Computer Communications. IEEE, 2018. http://dx.doi.org/10.1109/infocom.2018.8486362.

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Jiaming Li, Xiaomeng Ai, and Jinyu Wen. "Constraints of wind power ramp event in robust unit commitment." In 2016 IEEE Power and Energy Society General Meeting (PESGM). IEEE, 2016. http://dx.doi.org/10.1109/pesgm.2016.7742020.

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