Article
Computer Science, Artificial Intelligence
Daniel Molina-Perez, Efren Mezura-Montes, Edgar Alfredo Portilla-Flores, Eduardo Vega-Alvarado, Barbara Calva-Yanez
Summary: This paper presents a new proposal based on two fundamental strategies to improve the performance of the differential evolution algorithm when solving MINLP problems. The proposal considers a set of good fitness-infeasible solutions to explore promising regions and introduces a composite trial vector generation method to enhance combinatorial exploration and convergence capacity.
SWARM AND EVOLUTIONARY COMPUTATION
(2024)
Article
Computer Science, Software Engineering
Shixuan Zhang, Xu Andy Sun
Summary: This paper studies multistage stochastic mixed-integer nonlinear programs (MS-MINLP) and proposes a new type of cuts based on generalized conjugacy. The developed algorithms are shown to achieve global optimality under certain conditions, and the iteration complexity is analyzed to reveal its dependence on the number of stages.
MATHEMATICAL PROGRAMMING
(2022)
Article
Computer Science, Artificial Intelligence
Haohao Song, Jiquan Wang, Zhiwen Cheng, Tiezhu Chang
Summary: This paper proposes a hybrid improved sine and cosine algorithm to address the shortcomings of existing algorithms in solving mixed-integer programming problems, such as local convergence and poor solution accuracy. The improved position update formula is introduced to enhance the algorithm's global and local search abilities, and combined mutation is further given to avoid local convergence. Experimental results demonstrate that the hybrid mechanism of improved sine and cosine algorithm and combined mutation is demonstrably effective, providing a satisfactory solution for addressing high-dimensional complicated mixed-integer programming problems.
Article
Automation & Control Systems
Nicolo Robuschi, Clemens Zeile, Sebastian Sager, Francesco Braghin
Summary: This study introduces an efficient model for computing a non-causal minimum-fuel energy management strategy for a hybrid electric vehicle on a given driving cycle. The proposed tailored algorithm breaks down the problem into a sequence of nonlinear programs and mixed integer linear programs, demonstrating both solution quality and run time through numerical results.
Article
Energy & Fuels
Yasoda Kailasa Gounder, Sowkarthika Subramanian
Summary: This research presents an optimization method for residential community microgrid, which includes minimizing operating cost and emissions using mixed integer linear programming algorithm, creating flexible generation-demand model with demand response, and scheduling household appliances with a special knapsack method. The results demonstrate that this method can meet user demands and reduce operating costs.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Automation & Control Systems
Farshad Merrikh-Bayat, Parvin Mirhoseini
Summary: This paper studies the control of multi-input multi-output hybrid nonlinear dynamic systems. A theorem is presented and proved, which represents the necessary and sufficient condition for achieving uniform convergence of the state vector sequence towards the desired point. Based on this theorem, a linear programming method is proposed for calculating the control variables. Two well-known nonlinear hybrid control problems with multiple inputs are solved using the proposed method.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Environmental Studies
Lixian Fan, Hanqing Shen, Jingbo Yin
Summary: This study examines container shipping companies' decisions on compliance options, including fuel switching and scrubber installation. A refined net present value model is used, incorporating market and policy factors, to simulate the effect of each factor on net present profit. Results show critical values for fuel price spread (30% higher), SECA distance ratio (6%), discount rate (4.1%), and scrubber installation cost (6.5% decrease). Due to the volatility of these factors, shipping companies have mixed compliance choices to mitigate potential risks. The study also explores the influence of company and ship characteristics on scrubber installation using observed data, revealing different preferences among shipping companies considering different factors.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Energy & Fuels
Roymel R. Carpio, Thiago C. dAvila, Daniel P. Taira, Leonardo D. Ribeiro, Bruno F. Viera, Alex F. Teixeira, Mario M. Campos, Argimiro R. Secchi
Summary: The study evaluates the performance of two approaches for oil production optimization on offshore platforms, highlighting the limitations of each strategy and proposing a hybrid two-stage optimization strategy to achieve global optimal operating conditions.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Software Engineering
Benjamin Mueller, Gonzalo Munoz, Maxime Gasse, Ambros Gleixner, Andrea Lodi, Felipe Serrano
Summary: This work explores the use of a nonconvex relaxation obtained through constraint aggregation for solving MINLPs, highlighting the computational advantages and challenges.
MATHEMATICAL PROGRAMMING
(2022)
Article
Engineering, Marine
Antti Ritari, Kirsi Spoof-Tuomi, Janne Huotari, Seppo Niemi, Kari Tammi
Summary: This paper evaluates the impact of large-capacity electrical energy storage on optimal sailing routes, speeds, fuel choice, and emission abatement technology selection. It finds that zero-emission legs powered by batteries are feasible, but slower speeds on these legs may lead to increased greenhouse gas emissions over the entire voyage.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Economics
Mingyang Pei, Peiqun Lin, Jun Du, Xiaopeng Li, Zhiwei Chen
Summary: Modular vehicle technology allows flexible adjustments of vehicle capacity to meet passenger demand, and the proposed modular transit network system concept aims to address issues in traditional public transportation systems. By developing a mixed-integer nonlinear programming model, the optimal MTNS design is achieved, and its effectiveness is demonstrated through numerical examples.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Computer Science, Software Engineering
Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, Todd Munson
Summary: The study introduces a flexible MINLP framework called Minotaur, which allows for algorithm exploration and structure exploitation while maintaining high computational efficiency. Efficient implementations of standard MINLP techniques and structure-exploiting extensions are demonstrated to have a significant impact on solution times. Global solutions to difficult nonconvex MINLP problems may be unreachable without a flexible framework that enables structure exploitation.
MATHEMATICAL PROGRAMMING COMPUTATION
(2021)
Article
Operations Research & Management Science
Wendel Melo, Marcia Fampa, Fernanda Raupp
Summary: In this paper, we present two new algorithms for convex mixed integer nonlinear programming, which are based on the well-known Extended Cutting Plane algorithm. The computational results show that these two algorithms are competitive with popular MINLP algorithms while maintaining the nice characteristic of being a first-order method.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Computer Science, Software Engineering
Ilias Zadik, Miles Lubin, Juan Pablo Vielma
Summary: We investigate the structural geometric properties of mixed-integer convex representable (MICP-R) sets and compare them with the class of mixed-integer linear representable (MILP-R) sets. We provide examples of MICP-R sets that are countably infinite unions of convex sets with countably infinitely many different recession cones, and countably infinite unions of polytopes with different shapes. These examples highlight the differences between MICP-R sets and MILP-R sets.
MATHEMATICAL PROGRAMMING
(2023)
Article
Thermodynamics
Junzhe Shi, Teng Zeng, Scott Moura
Summary: The populations of commercial electric vehicles (EVs) and electric robots (ERs) have been growing rapidly in recent years. Coordinating their operations and charging schedules is essential to maximize total profit. This study proposes an innovative fleet management strategy that addresses the nonlinear charging profile, maximizing revenue and minimizing the cost of electricity and battery degradation.
Article
Automation & Control Systems
Mehdi Rafiei, Jalil Boudjadar, Mohammad-Hassan Khooban
Summary: This article proposes an all-electric hybrid energy system using fuel cells, batteries, and cold-ironing to achieve zero emissions. Feasibility evaluation and modeling of the system based on actual ferry data are conducted, showing high performance and acceptable energy cost for marine vessels.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Mohsen Banaei, Majid Oloomi-buygi, Hani Raouf-Sheybani, Mohammad-Hassan Khooban
Summary: This study examines the mutual impacts of futures and day-ahead electricity markets using a mixed supply function-Cournot equilibrium model. The model considers strategic behavior of market players, mark-to-market settlement in futures market, dynamics of players' behavior, and transmission system constraints. An upgraded risk management method is introduced and applied to a test system to discuss the impacts of different parameters on the results.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2021)
Article
Engineering, Electrical & Electronic
Mohsen Banaei, Hani Raouf-Sheybani, Majid Oloomi-Buygi, Jalil Boudjadar
Summary: The behavior of market players in the forward and day-ahead electricity markets in the presence of large-scale wind farms is studied in this paper. Modeling the delivery period considering different outcomes for the contracting period and then modeling the contracting period considering the delivery period outcomes. Equilibrium models are presented for each model, with both uniform and pay-as-bid pricing models considered for the day-ahead market. Simulation results are presented, analyzed, and compared for models applied to a test system case study.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Hoda Ahmadi, Mehdi Rafiei, Moseyeb Afshari Igder, Meysam Gheisarnejad, Mohammad-Hassan Khooban
Summary: All-electric ships (AES) are considered a promising solution for reducing greenhouse gas emissions and a hybrid energy system comprising fuel cells and organic Rankine cycle is studied in this paper. Real data of a ferry boat is used to evaluate the proposed hybrid system's feasibility and energy management, with the application of Deep Deterministic Policy Gradient for power dispatch optimization. MATLAB software is employed to validate the models, showing effective and efficient ways in marine vessels for zero-emission ships.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Green & Sustainable Science & Technology
F. D'Ettorre, M. Banaei, R. Ebrahimy, S. Ali Pourmousavi, E. M. V. Blomgren, J. Kowalski, Z. Bohdanowicz, B. Lopaciuk-Gonczaryk, C. Biele, H. Madsen
Summary: Demand-side flexibility is crucial for achieving high levels of renewable generation and transitioning to a sustainable energy system. However, there are still challenges to be addressed, including fragmented regulatory framework, lack of market products for small end users, and the absence of common measurement and quantification methodologies. This article provides an overview of demand response programs and their current implementation, while also exploring the social perspective through a quantitative survey in four European countries. Recommendations for future research activities are proposed based on identified open issues and research gaps.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Engineering, Electrical & Electronic
Mohsen Banaei, Francesco D'Ettorre, Razgar Ebrahimy, S. Ali Pourmousavi, Emma M. V. Blomgren, Henrik Madsen
Summary: In this study, a new approach is proposed to determine a group of contract hour sets to provide maximum flexibility of swimming pool heating systems. The proposed approach is validated through simulation studies and cost-benefit analysis.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Energy & Fuels
Emma M. V. Blomgren, Mohsen Banaei, Razgar Ebrahimy, Olof Samuelsson, Francesco D'Ettorre, Henrik Madsen
Summary: This paper develops a method for nodal voltage estimation in unbalanced radial low-voltage grids using a data-driven grey-box modeling approach. The method relies on experimental data from a real-world LV grid in Denmark and uses data input from only one measuring device per feeder. The prediction results show high accuracy at root mean squared errors (RMSEs) of 0.002-0.0004 p.u. and a short computation time that meets requirements for practical, real-time monitoring of distribution system operator (DSO) grids.
Article
Computer Science, Interdisciplinary Applications
Milad Andalibi, Alireza Shourangizhaghighi, Mojtaba Hajihosseini, Seyed Saeed Madani, Carlos Ziebert, Jalil Boudjadar
Summary: This paper proposes a self-adaptive real-time cruise control system design for autonomous ground vehicles to achieve path-following control. It uses a multi-agent deep reinforcement learning technique to control acceleration and steering. The efficacy of the proposed control system is evaluated through simulation-based analysis and compared with two state-of-the-art controllers.
Article
Computer Science, Information Systems
Hamna Waheed, Waseem Akram, Saif ul Islam, Abdul Hadi, Jalil Boudjadar, Noureen Zafar
Summary: The agriculture sector is critical for food supply, but plant disorders lead to a significant annual loss in crop productivity. Detecting these disorders accurately and early is a challenge for farmers. This paper presents an Android system utilizing deep learning to diagnose ginger plant disorders, achieving promising results in real-time detection using a trained model on a dataset of ginger leaf images.
Article
Engineering, Electrical & Electronic
Mohsen Banaei, Hani Raouf-Sheybani, Majid Oloomi-Buygi, Razgar Ebrahimy, Henrik Madsen
Summary: This paper introduces a Nash equilibrium approach to model the interactions between futures and day-ahead markets, discussing the effects of uncertainties in wind farms' output power and transmission system capacity on market players' strategies and evaluating the behavior of speculators.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis
Summary: This article introduces a visual quality control system for mineral wool that utilizes X-ray images and recognition models to analyze product quality and identify defective products. By applying structural pruning and data augmentation methods, a model with over 98% accuracy was obtained.
2023 IEEE 21ST INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS, INDIN
(2023)
Proceedings Paper
Computer Science, Software Engineering
Laurynas Ubys, Valeriu Nicolas Vancea, Tomas Kulik, Peter Gorm Larsen, Jalil Boudjadar, Diego F. Aranha
Summary: Current trends of digitalization in industrial control systems require secure communication and device authentication. This paper presents a prototype of a pluggable key management device that utilizes VDM to analyze network traffic and ensure system security.
FORMAL ASPECTS OF COMPONENT SOFTWARE (FACS 2022)
(2022)
Proceedings Paper
Automation & Control Systems
Mohsen Banaei, Jalil Boudjadar, Razgar Ebrahimy, Henrik Madsen
Summary: The concept of zero-emission ships as a solution to reduce greenhouse gas emissions in the marine shipping industry includes fuel cells as a technology for propulsion force and energy storage systems as auxiliary resources. This paper surveys studies on cost-effective energy management for FC/ESS-based ZE-ships, categorizing literature based on energy management strategies and exploring other aspects such as auxiliary energy resources and simulation methods.
IECON 2021 - 47TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY
(2021)
Proceedings Paper
Computer Science, Theory & Methods
Mohsen Banaei, Francesco D'Ettorre, Razgar Ebrahimy, Emma M. Blomgren, Henrik Madsen
Summary: A multi-objective approach was proposed to evaluate the impacts of peak shaving and flexibility capacity control on end user costs and equipment degradation. Test cases showed that introducing flexibility terms increased energy costs by less than 0.5%, reduced peak demand by around 11%, and increased flexibility capacity by approximately 16.5%.
2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGY EUROPE (ISGT EUROPE 2021)
(2021)
Article
Computer Science, Information Systems
Mehdi Rafiei, Jalil Boudjadar, Matthew P. Griffiths, Mohammad-Hassan Khooban
Summary: Fuel cell-based hybrid electric vehicles are a promising option for zero-emission city buses, and efficient energy management is critical for their practicality. This research assesses the efficiency of adding a Wireless Power Transfer system to an all-electric bus, using real data and mathematical modeling to demonstrate high efficiency in managing energy flows.
