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Optimizing the Maintenance Schedule of a Combined Cycle Gas Turbine Considering Different Maintenance Types and Operating Hours

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IEEE ACCESS 2022年 10卷 98872-98881页

作者： Yu, Vincent F. Lin, Yueh-Sheng Jodiawan, Panca He, Meng-Duo Lin, Shih-Wei Natl Taiwan Univ Sci & Technol Dept Ind Management Taipei 106 Taiwan Natl Taiwan Univ Sci & Technol Ctr Cyber Phys Syst Innovat Taipei 106 Taiwan Chang Gung Univ Dept Informat Management Taoyuan 333 Taiwan Keelung Chang Gung Mem Hosp Dept Emergency Med Keelung 204 Taiwan Ming Chi Univ Technol Dept Ind Engn & Management New Taipei 243 Taiwan

An efficient maintenance schedule for gas turbines of power plants ensures a reliable electricity supply. This study addresses a generator maintenance scheduling problem arising from Taiwan's combined cycle power plant with two notable characteristics, i.e., a specific sequence of various maintenance types and the concept of performing maintenance according to operational hours spent. The objective is to minimize the total maintenance cost. The problem is formulated as a mixed integer linear Program which is solvable by an off-the-shelf exact solver, i.e., CPLEX. Moreover, a set of newly generated instances is proposed as benchmark instances for the problem. The instances generated are based on the realistic conditions obtained from the historical record of Taiwan's combined cycle power plant. Computational studies are presented as interesting insights regarding the complexity of the problem and the factors driving the total maintenance costs.

关键词： Maintenance engineering Generators Turbines Task analysis Costs Power generation Mathematical models Industrial plants mixed integer linear programming Power generation Combined cycle power plant generator maintenance scheduling mixed integer linear programming

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Autonomous bus timetable synchronization for maximizing smooth transfers with passenger assignment

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EXPERT SYSTEMS WITH APPLICATIONS 2022年第0期193卷 116430-116430页

作者： Wang, Yun Zhou, Yu Yan, Xuedong Beijing Jiaotong Univ Sch Traff & Transportat MOT Key Lab Transport Ind Big Data Applicat Techn 3 Shang Yuan Cun Beijing 100044 Peoples R China Natl Univ Singapore Dept Civil & Environm Engn Singapore 117576 Singapore

Autonomous bus (AB), as a major component of public transport systems in the future, are expected to positively impact safety, congestion, private car ownership, energy consumptions, and CO2 emissions. The adoption of ABs will inevitably bring a magnitude of changes and revolutions for the traditional bus operations. This paper investigates the AB timetable synchronization problem (AB-TSP), which involves both the AB timetabling and the passenger assignment. The AB-TSP is first formulated as mixed integer nonlinear programming (MINLP) and then converted to an equivalent mixed integer linear programming (MILP). Two families of valid inequalities are proposed based on the property of the developed model in order to accelerate the solution process. A numerical example on a medium-size AB network shows the effectiveness and efficiency of the valid inequalities, and we also make a detailed comparison between the AB-TSP and the traditional bus timetable synchronization problem (TB-TSP). Finally, a genetic algorithm (GA) framework is designed to cope with the large-scale AB-TSP, and the results of a case study based on the Tower Transit SG bus network show that the intractable real-world problem can also obtain satisfactory solutions within a reasonable computation time.

关键词： Autonomous bus Timetable synchronization Passenger assignment mixed integer linear programming Valid inequalities Genetic algorithm

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Integration of a novel distributed water and energy system in the oilfield

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CHEMICAL ENGINEERING RESEARCH & DESIGN 2022年 186卷 350-361页

作者： Li, Zhuochao Guo, Yi Xu, Ning Wang, Bohong Zhong, Rongqiang Li, Wenlong Liang, Yongtu China Univ Petr Beijing Key Lab Urban Oil & Gas Distribut Technol Fuxue Rd 18 Beijing 102249 Peoples R China Sinopec Inst Petr Engn & Technol Northwest Oil Field Branch Urumqi 830011 Xinjiang Peoples R China Zhejiang Ocean Univ Natl & Local Joint Engn Res Ctr Harbor Oil & Gas S Zhejiang Key Lab Petrochem Environm Pollut Control 1 Haida South Rd Zhoushan 316022 Peoples R China

The oil production process in union stations requires consuming a lot of energy, and sewage at high temperature will be produced simultaneously. Realizing the benefits of energy saving that waste heat utilization can bring to the oil field, this article first de-scribes a novel integrated water separation and treatment process (IWSTP) with energy -saving effects. Based on the integrated process, the oilfield distributed heat station system is a good choice for utilizing waste heat from sewage. The heat pump is also considered as indispensable equipment for recovering the low-temperature waste heat of oilfield sewage. Next, a mixed integer linear programming model considering energy and tech-nical constraints is developed to optimize the oilfield water treatment process to mini-mize annual total cost, which determines the selection and capacity of the required equipment. Taking an oilfield in China as an example, the validity and applicability of this model are demonstrated. The results show that the optimized scheme saves 14.08% of the economic cost compared with the traditional energy supply scheme. Finally, the impact of energy price fluctuation on the design results is analyzed. (c) 2022 Institution of Chemical Engineers. Published by Elsevier Ltd. All rights reserved.

关键词： Water treatment Energy saving Oil production mixed integer linear programming

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Expansion planning of automated sub-transmission and distribution networks integrated by distributed generations

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SCIENTIA IRANICA 2022年第2期29卷 645-659页

作者： Zohour-Attar, M. Aghaei, J. Niknam, T. Nikoobakht, A. Shiraz Univ Technol Dept Elect & Elect Engn Shiraz Iran Lappeenranta Lahti Univ Technol LUT Sch Energy Syst Lappeenranta Finland Higher Educ Ctr Eghlid Eghlid Iran

This paper presents Sub-transmission and Distribution Network Expansion Planning (S&DNEP) including Distributed Generation (DG) and Distribution Automation (DA) considering reliability indices. The objective function is to minimize investment, operation, maintenance, and reliability costs subjected to AC power flow, system operation and generation unit and DG limits, reliability, and distribution automation constraints (including the constraints of protection devices and volt/VAr control mechanism). The proposed model is a mixed integer Non-linear programming (MINLP) model, which is hard to solve. For this reason, an MINLP problem is transformed into a mixed integer linear programming (MILP) model. The validity of the proposed method is investigated in the two synthetic test networks. (C) 2022 Sharif University of Technology. All rights reserved.

关键词： Sub-transmission and distribution network expansion planning Distributed generation Distribution automation Reliability indexes mixed integer linear programming

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A rough cut cybersecurity investment using portfolio of security controls with maximum cybersecurity value

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2022年第21期60卷 6556-6572页

作者： Sawik, Tadeusz Sawik, Bartosz Reykjavik Univ Dept Engn IS-101 Reykjavik Iceland AGH Univ Sci & Technol Dept Operat Res Krakow Poland Univ Publ Navarra Dept Stat Comp Sci & Math Pamplona Spain Univ Calif Berkeley Haas Sch Business Berkeley CA 94720 USA AGH Univ Sci & Technol Dept Business Informat & Engn Management Krakow Poland

This paper deals with optimisation of cybersecurity investment in supply chains using stochastic programming approach. A classical exponential function of breach probability and the intuitive idea of 'the expected net benefits', originally presented in 2002 by Gordon and Loeb, were applied to introduce the concept of cybersecurity value. The cybersecurity value of security control is defined as the value gained by implementing a single control to secure a subset of components. The cybersecurity value of a control can be seen as a measure of its efficiency in reducing vulnerability of a secured system or component. A mixed binary optimisation problem, next transformed into an unconstrained binary program is developed to maximise total cybersecurity value of control portfolio. The optimal solution to the binary program provides a simple formula to immediately obtain the portfolio of security controls with maximum total cybersecurity value and determine a rough cut cybersecurity investment. This study also shows that portfolio of security controls with maximum total cybersecurity value reduces the losses from security breaches and mitigate the impact of cyber risk.

关键词： Cybersecurity of supply chains cybersecurity investment security control portfolio mixed integer linear programming unconstrained binary program

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Analysis and Calculation of Energy Supply Capacity of Micro Energy Grid Considering Natural Gas Systems and Renewable Energy 8

Analysis and Calculation of Energy Supply Capacity of Micro ...

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8th International Conference on New Energy and Future Energy Systems (NEFES)

作者： Jiang, Guodong Han, Tao Du, Hongwei Xia, Dong Huang, Chenxi Zhang, Beibei NARI Technol Co Ltd 19 Chengxin Ave Nanjing 211106 Peoples R China

ISBN: (纸本)9781643684741;9781643684758

Firstly, this paper proposes the definition and characteristics of micro energy networks, and describes the transformation and construction purposes of various energy forms in micro energy networks. We have established mathematical models for various forms of energy, including wind power, photovoltaic, natural gas, and electrical energy storage. We have established a mathematical model for the energy hub matrix, which provides a computational basis for the transformation of various forms of energy. Then, based on the previous research, an optimization function for the maximum of energy supply capacity of micro energy networks was proposed, which is a mixed integer linear programming problem and solved. Finally, based on a project example in China, calculations and analysis were conducted, and conclusions and suggestions were drawn.

关键词： Micro energy grid natural gas pipelines N-1 principle maximum energy supply capacity mixed integer linear programming

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Innovative Unit Commitment Modeling Approach Considering Multi-infeed VSC-HVDC Links

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2022年第16-17期50卷 916-930页

作者： Castro, Luis M. Gonzalez-Cabrera, N. Hernandez-Amador, L. E. Guzman-Feria, J. S. Natl Autonomous Univ Mexico UNAM Dept Elect Energy Mexico City 04510 DF Mexico Natl Autonomous Univ Mexico UNAM Elect Engn Postgrad Program Mexico City DF Mexico

This paper introduces an improved optimization model for the unit commitment (UC) problem of AC power systems considering multi-infeed VSC-HVDC links. The proposed formulation is based on the linear modeling of the AC network and point-to-point HVDC links, where power losses are properly considered by piecewise linearization of AC lines, DC links and VSC units. This UC model is featured by a mixed integer linear programming (MILP) framework, thus enabling effective calculations of the optimal hourly generation scheduling for multi-infeed VSC-HVDC power grids. These sophisticated power grid studies are associated with day-ahead electricity markets carried out by power system engineers at control centers. To demonstrate the applicability of the proposed MILP-based UC model, the IEEE RTS 24-bus test system is used to carry out two case studies. The first incorporates three point-to-point HVDC links where an in-depth analysis is carried by comparing its outcomes, with and without HVDC links. The second case study features two interconnected areas having three-infeed HVDC links and several tens of generation units. Both systems are analyzed for a 24-hr planning horizon. It is confirmed that the UC model described in this paper permits to study practical power grids with multi-infeed VSC-HVDC links.

关键词： unit commitment piecewise linearization multi-infeed HVDC links mixed integer linear programming VSC stations

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PLANNING ROLLING STOCK MAINTENANCE: OPTIMIZATION OF TRAIN ARRIVAL DATES AT A MAINTENANCE CENTER

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JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION 2022年第2期18卷 747-772页

作者： Gu, Hanyu Lam, Hue Chi Zinder, Yakov Univ Technol Sydney Sch Math & Phys Sci 15 Broadway Ultimo NSW 2007 Australia

A railway network is an indispensable part of the public transportation system in many major cities around the world. In order to provide a safe and reliable service, a fleet of passenger trains must undergo regular maintenance. These maintenance operations are lengthy procedures, which are planned for one year or a longer period. The planning specifies the dates of trains' arrival at the maintenance center and should take into account the uncertain duration of maintenance operations, the periods of validity of the previous maintenance, the desired number of trains in service, and the capacity of the maintenance center. The paper presents a nonlinear programming formulation of the considered problem and several optimization procedures which were compared by computational experiments using real world data. The results of these experiments indicate that the presented approach is capable to be used in real world planning process.

关键词： maintenance planning mixed integer linear programming iterated local search earliness tardiness Poisson binomial distribution

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A New Scenario Reduction Method Based on Higher-Order Moments

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INFORMS JOURNAL ON COMPUTING 2022年第4期34卷 1903-1918页

作者： Zhang, Weiguo He, Xiaolei South China Univ Technol Sch Business Adm Guangzhou 510641 Guangdong Peoples R China

Scenario reduction is an effective method to ease the computational burden of stochastic programming problems, which aims at choosing a subset of scenarios that can better represent a large number of possible scenarios. Higher-order moments are critical in the scenario reduction process, especially for stochastic programming problems that are greatly affected by the moments. From this idea, we construct a mixed integer linear programming model to improve the reduction accuracy of traditional methods by minimizing the moments' information loss between the original and reduced scenarios. An improved Benders decomposition algorithm is then designed to find an optimal solution for the model. Finally, the resulting scenarios are examined on an international portfolio selection problem. Empirical and comparative studies are also carried out to reveal the superiority of our proposed scenario reduction method over other existing approaches or models, together with the superior performance of the algorithm.

关键词： scenario reduction higher-order moments mixed integer linear programming improved Benders decomposition

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Cyber-Physical Power System Testing platform for Topology Identification in Power Distribution Grids

Cyber-Physical Power System Testing platform for Topology Id...

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IEEE Belgrade PowerTech Conference

作者： Torres-Olguin, Raymundo E. Sanchez-Acevedo, Santiago Mo, Olve Garces-Ruiz, Alejandro SINTEF Energy Res Dept Energy Syst Trondheim Norway UTP Fac Ingn Pereira Colombia

ISBN: (纸本)9781665487788

The transformation of passive electric power distribution grids (PDG) towards active ones relies heavily on digital and communication technologies to perform advanced functionalities such as optimal power flow or state estimation. The knowledge of the PDG topology is a fundamental requirement for enabling these functionalities. Since this information is often unavailable or outdated, topology identification (TI) appears as a key component in the smart grid transition. This paper analyses the accuracy of a recently proposed TI algorithm based on mixed integer linear programming (MILP) in a cyber-physical power system (CPPS) testing platform. Experimental results show the accuracy and robustness of the algorithm against errors in the sensor and pseudo-measurements.

关键词： Power Distribution Grids Cyber-Physical Power System (CPPS) Topology Identification mixed integer linear programming

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