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Fix-and-optimize procedures for solving the long-term unit commitment problem with pumped storages

ANNALS OF OPERATIONS RESEARCH 2019年第1-2期274卷 241-265页

作者： Franz, Alexander Rieck, Julia Zimmermann, Juergen Tech Univ Clausthal Inst Management & Econ Operat Res Grp D-38678 Clausthal Zellerfeld Germany Univ Hildesheim Inst Econ & Comp Sci Operat Res Grp D-31141 Hildesheim Germany

In this paper, we consider a long-term unit commitment problem with thermal and renewable energy sources, where system operating costs have to be minimized. The problem is enhanced by adding pumped storages, where water is stored in reservoirs, being turbinated or pumped up if it is beneficial in terms of reducing the operating costs. We present a tight mixed-integer linear programming model with a redefinition of decision variables and a reformulation of constraints, e.g., for the spinning reserve. The model serves as a basis for a new decomposition method, where fix-and-optimize schemes are used. In particular, a time-oriented, a unit-oriented, and a generic fix-and-optimize procedure are presented. A computational performance analysis shows that the mixed-integer linear model is efficient in supporting the solution process for small- and medium-scale instances. Furthermore, the fix-and-optimize procedures are able to tackle even large-scale instances. Particularly, problem instances with real-world energy demands, power plant-specific characteristics, and a one-year planning horizon with hourly time steps are solved to near-optimality in reasonable time.

关键词： Unit commitment problem Pumped storages Hydrothermal coordination Volatile residual demand patterns mixed-integer linear programming model Fix-and-optimize procedure

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Study on Optimization of Active Control Schemes for Considering Transient Processes in the Case of Pipeline Leakage

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ENERGIES 2020年第7期13卷 1692-1692页

作者： Zhang, Wan Shen, Ruihao Xu, Ning Zhang, Haoran Liang, Yongtu China Univ Petr Natl Engn Lab Pipeline Safety Beijing Key Lab Urban Oil & Gas Distribut Technol Fuxue Rd 18 Beijing 102249 Peoples R China Univ Tokyo Ctr Spatial Informat Sci 5-1-5 Kashiwanoha Kashiwa Chiba 2778568 Japan

Pipeline leakage of crude oil, refined oil or other petroleum derivatives can cause serious damage to the environment, soil, and more importantly, pose a serious threat to personal safety. The losses can be minimized to a degree by active control. Therefore, timely and effective control measures should be taken to minimize the leak volume whenever a pipeline leaks. However, the complexity of pipeline hydraulic systems makes it difficult to optimize control schemes for pipeline hydraulic devices under leak conditions, and existing studies rarely consider complex transient processes. This paper aims to establish a mixed integer linear programming model considering transient processes, hydraulic constraints, equipment constraints and flow constraints, and develop a detailed control scheme of the devices by the branch and bound algorithm. Moreover, it is the objective of the model to figure out the most optimal control plan to minimize the leakage. Experiments on a real-world liquid pipeline have proved the practicability and high reliability of the model.

关键词： control scheme liquid pipeline mixed-integer linear programming model transient process

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Energy-efficient scheduling in an unrelated parallel-machine environment under time-of-use electricity tariffs

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JOURNAL OF CLEANER PRODUCTION 2020年 249卷 119393-000页

作者： Saberi-Aliabad, Hossein Reisi-Nafchi, Mohammad Moslehi, Ghasem Isfahan Univ Technol Dept Ind & Syst Engn Esfahan *** Iran

The extensive use of energy worldwide, as well as a reduction in non-renewable energy sources, has led to increased greenhouse gas emissions and global warming. Therefore, the optimal use of energy has recently become very important. A decrease in energy consumption in manufacturing environments, as one of the major energy consumers, has attracted the attention of different researchers. In addition, considering a variety of tariffs in different periods is regarded as one of the strategies which the governments apply to control energy consumption. The present study aimed to minimize the cost of consuming energy in a production environment with unrelated parallel machines. So far, various studies have evaluated the unrelated parallel machine scheduling with energy tariffs. Based on the study objective, a mixed-integer linear programming model was presented for the problem. Further, a number of dominance rules and valid inequalities were developed to improve the computational time of the model due to the assumptions for this problem. The results of the study indicated that the proposed model was better than that of the other related studies in the literature. Furthermore, a heuristic fix and relax algorithm was proposed for large-size instances, which could solve the instances up to 1000 jobs and 20 machines in size. Finally, this algorithm had a low gap compared to the lower bound of the problem. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： Energy-efficient scheduling Unrelated parallel machine Tariff mixed-integer linear programming model Fix and relax

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Energy storage and transmission expansion planning: substitutes or complements?

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IET GENERATION TRANSMISSION & DISTRIBUTION 2018年第8期12卷 1738-1746页

作者： Bustos, Carlos Sauma, Enzo de la Torre, Sebastian Aguado, Jose A. Contreras, Javier Pozo, David Pontificia Univ Catolica Chile Ind & Syst Engn Dept Santiago Chile Pontificia Univ Catolica Chile UC Energy Res Ctr Santiago Chile Univ Malaga Dept Elect Engn Malaga Spain Univ Castilla La Mancha Escuela Tecn Super Ingenieros Ind Ciudad Real Spain Skolkovo Inst Sci & Technol Ctr Energy Syst Moscow Russia

The massive development of energy storage systems (ESSs) may significantly help in the supply-demand balance task, especially under the existence of uncertain and intermittent sources of energy, such as solar and wind power. Using ESSs as complements of renewable generation has technical and economic consequences in both the short-term operation and the long-term expansion planning of the grid. The authors propose a transmission expansion planning model that incorporates decisions about the expansion of generic ESS units in order to study the interaction between the penetration and location of ESSs and the transmission investment decisions. The problem is formulated as a mixed-integer linear programming model and considers different demand blocks and their correlation with renewable generation, to account for the distinct features of the system over time. The authors' results show that ESSs are not only substitutes of transmission assets, but they may also be complemented with transmission assets depending on the power system characteristics. They use a 27-bus representation of the main Chilean network to illustrate the model proposed and to highlight some interesting results about the potential complementarity of ESSs and transmission expansion.

关键词： power transmission planning power transmission economics investment energy storage integer programming linear programming supply and demand transmission expansion planning energy storage systems ESSs supply-demand balance task renewable generation economic consequences long-term grid expansion planning generic ESS unit expansion transmission investment decisions mixed-integer linear programming model transmission assets power system characteristics Chilean network

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Integrated optimization for train operation zone and stop plan with passenger distributions

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TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW 2018年 109卷 151-173页

作者： Qi, Jianguo Yang, Lixing Di, Zhen Li, Shukai Yang, Kai Gao, Yuan Beijing Jiaotong Univ State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China Nanchang Inst Technol Coll Sci Nanchang 330099 Jiangxi Peoples R China

With the aim of generating system-optimal operation strategies, this paper proposes a new integrated optimization method for train operation zone, stop plan and passenger distribution optimization problems on the basis of a train stop planning model. Through the introduction of a set of critical system constraints, the problem is rigorously formulated as a two-objective mixed integer linear programming problem with the objectives of minimizing the total running distance of unoccupied seats and the total number of stops for all involved trains. Finally, two sets of numerical experiments are implemented using GAMS to demonstrate the performance of the proposed approach.

关键词： Integrated optimization Train stop plan Operation zone Passenger distribution mixed-integer linear programming model

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Day-ahead Scheduling for a New Wind-CSP Hybrid System

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Energy Procedia 2019年 158卷 6254-6259页

作者： Yong Yang Su Guo Qunming Liu Rong Li Hohai University Nanjing Jiangsu 210098 China Nanjing Institute of Technology Nanjing Jiangsu 211167 China Zhejiang Xinhua engineering supervision and consulting Co. Ltd. Hangzhou Zhejiang 310012 China

Increasing level of wind power integration imposes challenges on the power grid due to the variable and intermittent characteristics of the wind resources. Concentrated Solar Power (CSP) plant with low-cost Thermal Energy Storage, is schedulable and controllable, and therefore is an ideal technology to hybridize with wind resources for generation smoothing. Furthermore, an Electric Heater, which converts redundant wind power into thermal energy, can be coupled with CSP plants to both reduce wind curtailment and provide more operational flexibility into power systems. Thus, this paper proposes a new hybrid power generation system integrating wind resources and CSP with an Electric Heater. A mixed-integer linear programming model is established to maximize the daily profit of the hybrid system. In this work, the effects of Electric Heater on the system considering different weather conditions are studied. The results show that the system proposed can effectively mitigate the wind power fluctuation, reduce the wind curtailment, and increase the power dispatchability of the hybrid system.

关键词： Wind Farm Concentrated Solar Power Thermal Energy Storage Electric Heater mixed-integer linear programming model

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Moving beyond the optimal transmission switching: stochastic linearised SCUC for the integration of wind power generation and equipment failures uncertainties

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IET GENERATION TRANSMISSION & DISTRIBUTION 2018年第15期12卷 3780-3792页

作者： Nikoobakht, Ahmad Aghaei, Jamshid Mardaneh, Mohammad Niknam, Taher Vahidinasab, Vahid Higher Educ Ctr Eghlid Eghlid Iran Shiraz Univ Technol Dept Elect & Elect Engn Shiraz Iran Shahid Beheshti Univ Abbaspour Sch Engn Dept Elect Engn Tehran Iran

This study recommends a stochastic optimization model for the security constrained unit commitment (SCUC), which incorporates the optimal transmission switching (OTS) for managing the uncertainty of wind power generation and equipment failures, i.e. unit/line outages. Also, this study presents a technique in stochastic SCUC model with the OTS action using the AC optimal power flow (AC OPF). The AC OPF provides a more accurate picture of power flow in the power system compared to the DC optimal power flow that is usually considered in the literature for the stochastic SCUC models and the OTS action. While the stochastic SCUC model with the OTS action based on AC OPF is a mixed-integer non-linear programming model, this study transforms it into a mixed-integer linear programming (MILP) model. The MILP approach uses a piecewise linear model of AC OPF, which allows the reactive power and voltage to be considered directly in power flow model. The proposed stochastic SCUC problem is evaluated on the 6 bus, IEEE 118-bus and 662-bus test systems in pre- and post-OTS action. Obtained results demonstrate the effectiveness of the proposed model.

关键词： wind power plants power generation reliability power transmission reliability failure analysis stochastic programming power system security power generation dispatch power generation scheduling load flow integer programming linear programming piecewise linear techniques reactive power optimal transmission switching stochastic linearised SCUC equipment failure uncertainties stochastic optimisation model security constrained unit commitment OTS wind power generation uncertainty managing stochastic SCUC model AC optimal power flow AC OPF power system mixed-integer nonlinear programming model mixed-integer linear programming model MILP approach piecewise linear model reactive power global optimal solution IEEE 118-bus test system IEEE 662-bus test system post-OTS action pre-OTS action

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Control Optimization for Liquid Pipelines under Leak Condition 7

Control Optimization for Liquid Pipelines under Leak Conditi...

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7th International Conference on Industrial Technology and Management (ICITM)

作者： Zhang, Haoran Zhang, Wan Xu, Ning Yuan, Meng Liang, Yongtu China Univ Petr Beijing Key Lab Urban Oil & Gas Distribut Technol Beijing Peoples R China

ISBN: (纸本)9781538613290

Apart from posing a threat to people's security, liquid pipeline leak will generate a large scale of environmental pollution, taking its toll for individuals and enterprises. An active control can minimize the impact. The hydraulic system of a pipeline is rather complex under leak condition, making it difficult to work out a plan for the optimal control scheme of pipeline's hydraulic devices. Researchers have proposed a series of methods to solve the optimal control scheme of a leak pipeline, few of which have taken complex transient process into consideration. The paper proposes a mixed-integer linear programming model to address the problem, and applies the branch and bound algorithm for model solution. The objective of the model is to find out an optimal control scheme to reduce the leakage volume to minimum. The transient process, hydraulic constraints, device constraints and flow rate constraints are considered in the model and the branch and bound algorithm is used to solve the model. Experiments on a real-world liquid pipeline have demonstrated the practicability and high reliability of the proposed model.

关键词： control scheme liquid pipeline mixed-integer linear programming model leak condition

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A robust approach to multiple vehicle location-routing problems with time windows for optimization of cross-docking under uncertainty

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2017年第1期32卷 49-62页

作者： Mousavi, S. Meysam Vandani, Behnam Shahed Univ Dept Ind Engn Tehran Iran Islamic Azad Univ Qazvin Branch Fac Ind & Mech Engn Qazvin Iran

The concern about significant changes in the logistics environment, such as the diversification of demands and supply quantities in pickup and delivery processes, has spurred an interest in designing scalable and robust cross-docking planning. In this study, a robust optimization model is introduced to deal with the inherent uncertainty of input data in the location and vehicle routing scheduling problems in cross-docking distribution networks. For this purpose, a new two-phase deterministic mixed-integer linear programming (MILP) model is proposed for locating cross-docks and scheduling vehicle routing with multiple cross-docks. Then, the robust counterpart of the proposed two-phase MILP model is proposed by employing the recent developments in robust optimization theory. Finally, to evaluate the robustness of obtained solutions by the new robust optimization model, a comparison is made with the obtained solutions by the deterministic MILP model in a number of realizations based on different test problems. Moreover, a meta-heuristic algorithm, namely self-adaptive imperialist competitive algorithm (SAICA), is presented for the multiple vehicle location-routing problems. Finally, this study provides various computational test problems to demonstrate the applicability and capability of the proposed robust two-phase MILP model and meta-heuristic solution approach.

关键词： Cross-docking planning location vehicle routing scheduling robust optimization mixed-integer linear programming model meta-heuristic algorithms

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A genetic algorithm for the vendor-managed inventory routing problem with lost sales

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EXPERT SYSTEMS WITH APPLICATIONS 2016年 53卷 149-159页

作者： Park, Yang-Byung Yoo, Jun-Su Park, Hae-Soo Kyung Hee Univ Coll Engn Dept Ind & Management Syst Engn Yongin Georgia

This paper proposes a genetic algorithm (GA) for the inventory routing problem with lost sales under a vendor-managed inventory strategy in a two-echelon supply chain comprised of a single manufacturer and multiple retailers. The proposed GA is inspired by the solving mechanism of CPLEX for the optimization model of the problem. The proposed GA determines replenishment times and quantities and vehicle routes in a decoupled manner, while maximizing supply chain profits. The proposed GA is compared with the optimization model with respect to the effectiveness and efficiency in various test problems. The proposed GA finds solutions in a short computational time that are very close to those obtained with the optimization model for small problems and solutions that are within 3.2% of those for large problems. Furthermore, sensitivity analysis is conducted to investigate the effects of several problem parameters on the performance of the proposed GA and total profits. (c) 2016 Elsevier Ltd. All rights reserved.

关键词： Genetic algorithm Vendor-managed inventory Inventory routing problem mixed-integer linear programming model Logistics

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