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European Market Integration With mixed Network Representation Schemes

IEEE TRANSACTIONS ON POWER SYSTEMS 2013年第4期28卷 4957-4967页

作者： Biskas, Pandelis N. Chatzigiannis, Dimitris I. Dourbois, Grigoris A. Bakirtzis, Anastasios G. Aristotle Univ Thessaloniki Dept Elect & Comp Engn Thessaloniki 54124 Greece

A centralized market-splitting algorithm is implemented in this paper in a Europe-wide level, comprising both power pools and Power Exchanges, with each local/national market respecting the standard constraints imposed by its own regulatory framework, including the full set of unit technical/commitment constraints and system operating constraints in power pools. In view of the forthcoming large-scale RES penetration, physical markets with unit-based offers (either pools or PXs) check the feasibility of the electricity market solution against their internal (intra-zonal) transmission network constraints, considering full network topology. This is accomplished through an iterative process, iterating between the overall optimization algorithm, and intra-zonal power flows of the countries/regions, which identify possible congestions and incorporate additional constraints in the central pan-European market-splitting problem. The iterative process terminates when all internal transmission constraints are satisfied. Locational marginal prices (LMPs) can be computed in the physical markets, whereas zonal/system marginal prices are computed in markets with portfolio-bidding schemes. The proposed algorithm is tested in terms of computational efficiency using the full UCTE network.

关键词： Internal electricity market market splitting mixed integer linear programming power exchange power pool power transfer distribution factors

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A MILP model to design hybrid wind-photovoltaic isolated rural electrification projects in developing countries

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2013年第2期226卷 293-300页

作者： Ferrer-Marti, L. Domenech, B. Garcia-Villoria, A. Pastor, R. Univ Politecn Cataluna Barcelona Tech Inst Ind & Control Engn Res Grp Ind Engn & Logist E-08028 Barcelona Spain

Electrification systems based on the use of renewable energy sources are a suitable option for providing electricity to isolated communities autonomously. Wind and hybrid wind-photovoltaic (PV) systems are increasingly getting attention. To electrify scattered communities, designs that combine individual systems and microgrids have recently proven advantageous. In this paper we present a mathematical programming model to optimize the design of hybrid wind-PV systems that solves the location of the wind-PV generators and the design of the microgrids, taking into account the demand of the consumption points and the energy potential. The criterion is the minimization of the initial investment cost required to meet the demand. The proposed hybrid model is tested with realistic size instances and results show the instances are efficiently solved. Moreover, the model is applied to real case studies in Peru;obtained results verify that the hybrid model efficiently finds solutions that significantly reduce costs. (C) 2012 Elsevier B.V. All rights reserved.

关键词： mixed integer linear programming Wind-photovoltaic system Case study OR in developing countries

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Sustainable and Robust Control of Cyclic Pallet Systems

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IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2013年第4期10卷 916-927页

作者： Mashaei, Maziar Lennartson, Bengt Chalmers Univ Technol Dept Signals & Syst SE-41296 Gothenburg Sweden FlexLink AB SE-41550 Gothenburg Sweden

A proper control of a system to get a desired function and increase the system lifetime is a crucial step towards the sustainable paradigm. In this paper, such a control is designed for a cyclic pallet system to achieve a minimal force on its drive unit, meet safety conditions on the system chain tension force, and the momentum of pallets, and fulfill a desired production rate. The optimal values of control parameters, namely, number of pallets, conveyor velocity, and part set schedule, are obtained through solving a mixed integer linear optimization model. The objective function in the model defines the average force on the drive unit in a cycle production. In addition, the related constraints characterize the pallet system properties such as cyclic and dynamic behavior, buffer size, constant work in process, and safety specifications. This optimization model strongly suffers from the time complexity due to the binary decision variables defining the part set schedule. To reasonably handle the computation time, a heuristic search strategy based on a modified form of the weighted profile fitting algorithm is introduced. Furthermore, the robustness of the optimal control and the system design is analyzed, using worst control and worst but safe control strategies. The optimal control and the robustness analysis are applied to some case studies, and the results are evaluated and discussed.

关键词： Heuristic algorithm mixed integer linear programming one-loop pallet system optimal and robust control tension force model

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A hierarchical optimization technique for the strategic design of distribution networks

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COMPUTERS & INDUSTRIAL ENGINEERING 2013年第4期66卷 849-864页

作者： Costantino, Nicola Dotoli, Mariagrazia Falagario, Marco Fanti, Maria Pia Mangini, Agostino Marcello Sciancalepore, Fabio Ukovich, Walter Politecn Bari Dept Mech & Management Engn I-70125 Bari Italy Politecn Bari Dept Elect & Elect Engn I-70125 Bari Italy Univ Trieste Dept Ind Engn & Informat Technol I-34127 Trieste Italy

The paper addresses the optimal design of the last supply chain branch, i.e., the Distribution Network (DN), starting from manufacturers till the retailers. It considers a distributed system composed of different stages connected by material links labeled with suitable performance indices. A hierarchical procedure employing direct graph (digraph) modeling, mixed integer linear programming, and the Analytic Hierarchy Process (AHP) is presented to select the optimal DN configuration. More in detail, a first-level DN optimization problem taking into account the definition and evaluation of the distribution chain performance provides a set of Pareto optimal solutions defined by digraph modeling. A second level DN optimization using the AHP method selects, on the basis of further criteria, the DN configuration from the Pareto face alternatives. To show the method effectiveness, the optimization model is applied to a case study describing an Italian regional healthcare drug DN. The problem solution by the proposed design method allows improving the DN flexibility and performance. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Supply chain Distribution network Digraph modeling Optimization mixed integer linear programming Analytic hierarchy process

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Multiple Optima in Gasoline Blend Planning

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INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2013年第31期52卷 10707-10719页

作者： Kulkarni-Thaker, Shefali Mahalec, Vladimir McMaster Univ Sch Computat Engn & Sci Hamilton ON L8S 4L7 Canada

Gasoline is produced by blending several different components in ratios such that the blended mixture meets the required quality specifications. The blender produces different batches of gasoline by switching operation from one grade of gasoline to another. Blend planning horizon usually spans 10 to 14 days. Blend plan optimization minimizes the total blend costs by solving a multiperiod problem, where demands need to be satisfied in each period and some inventory is carried into the future time periods to meet the demands. Since blend component production is determined by a longer range refinery production plan, inventory carrying costs are not included in the objective function. It is shown that nonlinear programming (NLP) as well as mixed integer nonlinear programming (MINLP) solvers lead to different blend recipes and different blend volume patterns for the same total cost. The new algorithm described in this work systematically searches for multiple optimum solutions;this opens the way for blend planners to select from different blend plans based on additional considerations (e.g., blend more of regular gasoline earlier in the planning horizon thereby creating an opportunity to meet more demand for it in early periods) instead of having to use only one solution that varies with the choice of the solver. Inherent structure of the proposed algorithm makes it well suited for implementation on parallel CPU machines.

关键词： GASOLINE blending mixed integer linear programming SOLUTION (Chemistry) GASOLINE -- Research MATHEMATICAL optimization

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Sequence-dependent setup time flexible job shop scheduling problem to minimise total tardiness

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2013年第12期51卷 3476-3487页

作者： Mousakhani, M. Islamic Azad Univ Dept Business Management Fac Management & Econ Sci & Res Branch Tehran Iran

This paper studies the problem of scheduling flexible job shops with setup times where the setups are sequence-dependent. The objective is to find the schedule with minimum total tardiness. First, the paper develops a mathematical model in the form of mixed integer linear programming and compares it with the available model in the literature. The proposed model outperforms the available model in terms of both size complexity and computational complexity. Then, an effective metaheuristic algorithm based on iterated local search is proposed and compared with a tabu search and variable neighbourhood search algorithms proposed previously for the same problem. A complete experiment is conducted to evaluate the algorithms for performance. All the results show the superiority of the proposed algorithm against the available ones.

关键词： scheduling flexible job shop sequence dependent setup times total tardiness mixed integer linear programming iterated local search

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A Two-Stage Framework for Power Transformer Asset Maintenance Management-Part II: Validation Results

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IEEE TRANSACTIONS ON POWER SYSTEMS 2013年第2期28卷 1404-1414页

作者： Abiri-Jahromi, Amir Parvania, Masood Bouffard, Francois Fotuhi-Firuzabad, Mahmud McGill Univ Dept Elect Engn Montreal PQ H3A 2A7 Canada Sharif Univ Technol Dept Elect Engn Ctr Excellence Power Syst Management & Control Tehran Iran

A two-stage framework for transformer maintenance management is introduced and formulated in Part I of this two-part paper in the context of transmission asset management strategies (TAMS). The proposed model optimizes maintenance outage schedule over a predefined period of time by taking into account the actual and expected transformer assets' condition dynamics in terms of failure rate and resource limitations in midterm horizons, as well as operating constraints, economic considerations and N-1 reliability in the shorter term. In Part II, a small six-bus system is first used to demonstrate how the two-stage maintenance framework works using a step-by-step procedure. Then, IEEE-RTS is used to investigate the performance of the proposed model in more detail. In addition, the impacts of varying the characteristics of the proposed midterm and short-term maintenance schedulers, such as flexibility in time horizon selection, on maintenance scheduling results and computational efficiency are investigated on IEEE-RTS. The numerical studies indicate that the proposed framework gives appropriate results in terms of economics and technical constraints at a reasonable computational cost.

关键词： Computational burden failure rate midterm and short-term maintenance planning mixed integer linear programming transformers transmission asset management

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Efficient energy consumption and operation management in a smart building with microgrid

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ENERGY CONVERSION AND MANAGEMENT 2013年 74卷 209-222页

作者： Zhang, Di Shah, Nilay Papageorgiou, Lazaros G. UCL Dept Chem Engn Ctr Proc Syst Engn London WC1E 7JE England Univ London Imperial Coll Sci Technol & Med Ctr Proc Syst Engn London SW7 2BY England

Microgrid works as a local energy provider for domestic buildings to reduce energy expenses and gas emissions by utilising distributed energy resources (DERs). The rapid advances in computing and communication capabilities enable the concept smart buildings become possible. Most energy-consuming household tasks do not need to be performed at specific times but rather within a preferred time. If these types of tasks can be coordinated among multiple homes so that they do not all occur at the same time yet still satisfy customers' requirement, the energy cost and power peak demand could be reduced. In this paper, the optimal scheduling of smart homes' energy consumption is studied using a mixed integer linear programming (MILP) approach. In order to minimise a 1-day forecasted energy consumption cost, DER operation and electricity-consumption household tasks are scheduled based on real-time electricity pricing, electricity task time window and forecasted renewable energy output. Peak demand charge scheme is also adopted to reduce the peak demand from grid. Two numerical examples on smart buildings of 30 homes and 90 homes with their own microgrid indicate the possibility of cost savings and electricity consumption scheduling peak reduction through the energy consumption and better management of DER operation. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Planning/scheduling Smart building Microgrid mixed integer linear programming Optimisation Real-time pricing

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A new robust mixed integer-valued model in DEA

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APPLIED MATHEMATICAL MODELLING 2013年第24期37卷 9885-9897页

作者： Khezrimotlagh, Dariush Salleh, Shaharuddin Mohsenpour, Zahra UTM Fac Sci Dept Math Johor Baharu 81310 Malaysia

The mixed integer linear programming (MILP) models are proposed to estimate the performance of decision making units (DMUs) including both integer and real values in data envelopment analysis (DEA). There are several studies to propose MILPs in the literature of DEA;however, they have some major shortcomings unfortunately. This study firstly mentioned the shortcomings in the previous researches and secondly suggests a robust MILP based on the Kourosh and Arash Method (KAM). The proposed linear model, integer-KAM (IKAM), has almost all capabilities of the linear KAM and significantly removes the shortcomings in the current MILPs. For instance, IKAM benchmarks and ranks all technically efficient and inefficient DMUs at the same time. It detects outliers, and estimates the production frontier significantly. A numerical example of 39 Spanish airports with four integer inputs and three outputs including two integer values and a real value also represents the validity of the statements. (C) 2013 Elsevier Inc. All rights reserved.

关键词： Data envelopment analysis Kourosh and Arash Method Efficiency Technical efficiency mixed integer linear programming

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Critical peak pricing with load control demand response program in unit commitment problem

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IET GENERATION TRANSMISSION & DISTRIBUTION 2013年第7期7卷 681-690页

作者： Aghaei, Jamshid Alizadeh, Mohammad-Iman Shiraz Univ Technol Dept Elect & Elect Engn Shiraz 71555313 Iran

In this study, critical peak pricing with load control (CPPLC), recently announced by Federal Energy and Regulatory Commission, is investigated in a cost-emission-based unit commitment (UC) problem. In order to be easily implementable with available real market solvers, the non-linear, non-convex problem formulation is converted to multi-objective mixed integer linear programming (MMILP). The MMILP problem is then solved through a new modified e-constraint multi-objective optimisation method. Moreover, UC is applied not only to schedule the status of the generating units but also to determine both price deviations and load profile provided by CPPLC program. Finally, the conventional 10-unit test system is employed to indicate the applicability of the proposed method through several case studies.

关键词： Generating sets Demand-Responsive Test systems Problem Formulation load profile UNIVERSITY OF CALIFORNIA load control mixed integer linear programming machine unit Pricing

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