Article
Computer Science, Interdisciplinary Applications
Tolga Karabas, Sedef Meral
Summary: The unit commitment problem involves the decisions of commitment and dispatching of conventional generating units, aiming to minimize total operating costs while satisfying operational and technical constraints. It is a highly constrained mixed-integer nonlinear NP-hard problem, posing challenges for optimization methods. We propose an efficient mixed-integer quadratic programming formulation and a Genetic Algorithm-based matheuristic approach as solutions. Computational experiments demonstrate their effectiveness in providing satisfactory schedules for large-scale power systems.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
M. Paredes, L. S. A. Martins, S. Soares, Hongxing Ye
Summary: In this paper, a formulation of the unit commitment problem with AC power flow constraints is presented. The problem is solved by a Benders' decomposition approach, which formulates the unit commitment master problem as a mixed-integer problem with linearized power generation constraints for improved convergence. Numerical case studies demonstrate the effectiveness of the proposed method in improving convergence quality.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Xinyu Wu, Yiyang Wu, Xilong Cheng, Chuntian Cheng, Zehong Li, Yongqi Wu
Summary: Optimizing hydro unit commitment has the potential to improve water use efficiency, but it is necessary to consider complex constraints from power grid, hydropower station, and unit operation. To overcome the problem of conflicting constraints leading to no feasible solution, a constraint grading principle is proposed to convert hard constraints into soft constraints and rank them in priority levels. The proposed method effectively solves the problem of no feasible solution due to conflicting constraints in HUC.
Article
Engineering, Electrical & Electronic
Jingbo Wang, Ce Shang
Summary: Two improvements are proposed to incorporate long-cycle storages in the two-dimensional clustered unit commitment. The first improvement is a long-cycle storage decoupling method that models the annual storage operation using discrete typical days while considering both seasonal and short-term dispatch. The second improvement is an integer-relaxed clustering method that addresses the deficiency in representing the load and renewable profiles caused by the involvement of long-cycle storages in dispatch. Consequently, an annual-horizon hourly-resolution unit commitment model is developed, which maintains the mixed-integer linear format and provides a framework for scheduling long-cycle storages on an annual basis.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Energy & Fuels
Rosane Santos, Andre Luiz Diniz, Bruno Borba
Summary: This study introduces Demand Response (DR) mechanisms into power system dispatch problems and models DR as a dispatchable resource. The results show that incorporating dispatchable DR loads can reduce costs and mitigate peak energy prices, enhancing the security of power supply.
Article
Engineering, Electrical & Electronic
Dominik Putz, Daniel Schwabeneder, Hans Auer, Bernadette Fina
Summary: This paper addresses the Unit Commitment problem in power supply systems by using mixed-integer linear programming and backward dynamic programming. By enhancing the dynamic programming algorithm with state prediction, the proposed formulation significantly reduces computation time and delivers satisfactory solutions in a shorter time compared to other approaches. Additionally, the linear dependence of computation time on the number of steps is a key advantage of the dynamic programming strategy, especially for longer planning horizons.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Gonzalo E. Constante-Flores, Antonio J. Conejo, Feng Qiu
Summary: An effective three-step solution approach is proposed to address the AC network-constrained unit commitment problem, including DC approximation, second-order conic relaxation, and continuous convex optimization to ensure full AC feasibility, which is validated using test systems with multiple generators and transmission lines.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Yaowen Yu, Bing Yan, Yijie Gao, Yuanzheng Li, Liangliang Sun
Summary: Energy Storage Resources (ESRs) can promote renewable energy penetration and peak load shifting, but their increasing number and different features from conventional generators pose computational challenges in wholesale electricity market operations. To improve computational efficiency, this study tightens the generic ESR formulation for unit commitment through decoupled analysis and type-based formulation tightening. The effectiveness and validity of the tightened constraints are demonstrated through numerical testing, showcasing the computational benefits.
IET RENEWABLE POWER GENERATION
(2023)
Article
Engineering, Electrical & Electronic
Bruno Colonetti, Erlon Finardi, Samuel Brito, Victor Zavala
Summary: Unit commitment is a complex problem in power system operations that has yet to be fully solved. Operators currently use optimization solvers and simplifications to address the problem, but solving it in a timely manner remains a challenge. This study proposes a parallel dynamic integer programming approach for solving the unit commitment problem, which has been successfully applied to different power systems with impressive speed-ups compared to sequential strategies.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Yonghong Chen, Feng Pan, Feng Qiu, Alinson S. Xavier, Tongxin Zheng, Muhammad Marwali, Bernard Knueven, Yongpei Guan, Peter B. Luh, Lei Wu, Bing Yan, Mikhail A. Bragin, Haiwang Zhong, Anthony Giacomoni, Ross Baldick, Boris Gisin, Qun Gu, Russ Philbrick, Fangxing Li
Summary: This paper summarizes the technical activities of the IEEE Task Force on Solving Large Scale Optimization Problems in Electricity Market and Power System Applications. This Task Force was established to review and analyze the current state of the security-constrained unit commitment (SCUC) business model and its solution techniques in electricity market clearing problems. It also investigates future challenges in market clearing problems and presents efforts in developing benchmark models.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Deniz Tuncer, Burak Kocuk
Summary: This paper proposes a method to solve the UC and OPF problems in short-term power system planning simultaneously using AC power flow equations. Two different algorithms are developed for smaller instances to obtain high-quality feasible solutions. For larger instances, a Lagrangian decomposition based approach is developed to achieve promising results.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Operations Research & Management Science
Nacera Maachou, Mustapha Moulai
Summary: This article proposes a new algorithm for solving the integer indefinite quadratic bilevel problem, using branch and bound method with cuts to determine the set of efficient solutions, and checking the integer optimal solution found for optimality of the main problem by solving the lower level problem.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Mathematics
Francisco Fernandez-Navarro, Luisa Martinez-Nieto, Mariano Carbonero-Ruz, Teresa Montero-Romero
Summary: This paper introduces the mean-variance (MV) portfolio and mean squared variance (MSV) portfolio methods, and proposes a mixed-integer linear programming (MILP) reformation for the non-convex QP problem, as well as a data-driven method for determining the optimal value of the hyper-parameter. Empirical tests show that the MSV portfolio exhibits competitive performance in most problems.
Article
Economics
Chi Kong Chyong, David Newbery
Summary: This article presents a calibrated unit commitment dispatch model applied to the GB electricity market, focusing on the economic analysis of hydro pumped storage (PS) stations. The study finds that an increase in variable renewable electricity (VRE) can increase the profit of PS stations, with the effect depending on the generation mix. A higher share of wind and solar energy in the system is required to achieve similar profitability with a more flexible system.
Article
Energy & Fuels
Cormac O'Malley, Patrick de Mars, Luis Badesa, Goran Strbac
Summary: Decarbonisation is driving the growth of renewable power generation and increasing uncertainty in power plant scheduling. This paper compares traditional mathematical programming methods with emerging reinforcement learning methods, finding that the former is more reliable and scalable with lower costs. However, the strength of reinforcement learning lies in its ability to produce instant solutions.
Article
Thermodynamics
Gustavo Bonolo de Campos, Cleverson Bringhenti, Alberto Traverso, Jesuino Takachi Tomita
ENERGY CONVERSION AND MANAGEMENT
(2020)
Article
Energy & Fuels
M. Rivarolo, A. Freda, A. Traverso
Article
Energy & Fuels
Andrea Giugno, Luca Mantelli, Alessandra Cuneo, Alberto Traverso
Article
Thermodynamics
Marco Ferrando, Avinash Renuke, Alberto Traverso, Vishnu Sishtla
Summary: In this paper, an industrially established 1D model for two-phase nozzles design and analysis has been extended and validated with a wider range of experimental data, focusing on single-component two-phase fluid expansion. The upgraded model has shown accurate results under subcritical conditions (Ma < 1) in the converging nozzle tests.
INTERNATIONAL JOURNAL OF REFRIGERATION
(2021)
Article
Engineering, Mechanical
Andrea Giugno, Luca Mantelli, Alberto Traverso
Summary: Pressurized solid oxide fuel cell systems with a turbocharger can improve cost effectiveness compared to microturbine-based systems, leading to higher electric efficiency and performance at part-load. A detailed steady-state model was developed to simulate and analyze system behavior, with response surfaces used to evaluate the impact of main operating parameters on system performance and profitability. Multi-objective optimization of the system considering capital costs and net power production objectives will be performed, with investigation on the impact of energy market scenarios and evaluation of robustness of top performance solutions using Pareto front.
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME
(2021)
Article
Thermodynamics
L. Mantelli, M. L. Ferrari, A. Traverso
Summary: The research aims to design and test a control system for a 30-kW turbocharged solid oxide fuel cell system fueled with biogas. The innovative use of a turbocharger for pressurizing the fuel cell stack is expected to reduce capital costs and increase market penetration. Results show that a cascade controller performs the best, effectively tracking the fuel cell's maximum temperature target and meeting all operational constraints.
APPLIED THERMAL ENGINEERING
(2021)
Article
Engineering, Mechanical
L. Mantelli, M. L. Ferrari, A. Traverso
Summary: Pressurized solid oxide fuel cell (SOFC) systems, integrated with either microgas turbines or automotive turbochargers, are promising for high energy conversion efficiencies, but face challenges such as control of rotational speed and dynamic behavior. Strategies to mitigate these challenges are crucial for system reliability and performance.
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME
(2021)
Article
Engineering, Mechanical
Avinash Renuke, Federico Reggio, Alberto Traverso, Matteo Pascenti
Summary: This article presents a systematic experimental characterization of loss mechanisms in a 3 kW Tesla expander, providing insights into the reasons for its low performance and identifying key areas for improvement, paving the way for the development of next-generation Tesla turbines that can compete with state-of-the-art bladed expanders.
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME
(2022)
Article
Thermodynamics
Matteo Manzoni, Alberto Patti, Simone Maccarini, Alberto Traverso
Summary: In recent years, the installation of large-scale renewable power generators has helped reduce emissions from fossil fuel sources. However, the unpredictability and non-dispatchability of renewable sources have caused issues with power balancing in the electrical grid. Therefore, it is important to explore innovative energy storage systems to maintain the quality of the current electrical infrastructure and ensure grid stability. This paper analyzes closed-loop systems for thermo-mechanical energy storage using rotating machinery, with a focus on different working fluids such as CO2, N2O, SF6, and H2O. The results show that CO2 in supercritical conditions achieves the highest Round Trip Efficiency, demonstrating its potential as a utility-scale energy storage solution.
Article
Automation & Control Systems
Angelo Alessandri, Patrizia Bagnerini, Mauro Gaggero, Luca Mantelli, Vincenzo Santamaria, Alberto Traverso
Summary: An approach for optimal control of the interface between water and ferrofluid in a 2-D two-phase flow is proposed, using a black-box model based on neural networks to predict behavior and optimize control. Numerical results based on simulation and experimental data demonstrate the effectiveness of the proposed approach.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2022)
Article
Energy & Fuels
Edgar Ramos Munoz, Faryar Jabbari
Summary: This article introduces a smart-charging protocol for battery electric vehicle charging at workplace parking structures. The proposed protocol independently schedules charging periods to manage demand load and reduce the number of installed charging stations. Simulations confirm the effectiveness of the protocol.
Article
Engineering, Civil
Shant Aram Danielian, Faryar Jabbari, Farzin Zareian
Summary: The feasibility of incorporating semi-active resettable springs (SRSs) to mitigate torsional response of structures is investigated. The effectiveness and robustness of the SRSs in reducing seismic demand was demonstrated on a spectrum of building properties idealized with one-story asymmetric structures. The effects of the SRSs on the edge displacements were analyzed and several system parameters were identified that significantly effect the edge displacements. Two approaches based on geometric constraints and modal analysis are proposed to determine the proper distribution of the SRSs to minimize edge displacements. Limitations and guidelines on implementation are also provided.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
(2023)
Article
Energy & Fuels
Nadia V. V. Panossian, Haitam Laarabi, Keith Moffat, Heather T. Chang, Bryan Palmintier, Andrew Meintz, Timothy E. E. Lipman, Rashid A. A. Waraich
Summary: This work introduces the GEMINI architecture that enables the co-simulation of distribution and transportation systems to evaluate the impact of EV charging on electric distribution systems in a metropolitan area and its surrounding rural regions with high fidelity. The current simulation focuses on Oakland and Alameda and will be extended to the full San Francisco Bay Area in future work. The findings show that with moderate EV adoption rates, inverter controls along with distribution system hardware upgrades can maintain grid voltages within ANSI C.84 range A limits without the need for smart charging. However, further research is needed to explore EV charging control for higher levels of charging or to reduce grid upgrades.
Article
Automation & Control Systems
Pengyuan Li, Faryar Jabbari, Xi-Ming Sun
Summary: This article investigates the regional stability and performance of antiwindup compensation for the leader-follower consensus problem of linear multiagent systems. A distributed dynamic output feedback method is proposed for the unconstrained case, and a static antiwindup compensator is applied for magnitude and rate saturation.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Maryam Sadeghi Reineh, Pengyuan Li, Faryar Jabbari
Summary: This work studies the leader-follower tracking problem for multiagent networks with identical agents and an active leader with unknown input. A distributed controller is proposed to minimize the gain from the leader's input to tracking errors, and an antiwindup compensation scheme is introduced to improve stability and performance.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2023)
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.
