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Contingency Ranking With Respect to Overloads in Very Large Power Systems Taking Into Account Uncertainty, Preventive, and Corrective Actions

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IEEE TRANSACTIONS ON POWER SYSTEMS 2013年第4期28卷 4909-4917页

作者： Fliscounakis, Stephane Panciatici, Patrick Capitanescu, Florin Wehenkel, Louis DMA RTE Versailles France Univ Luxembourg Interdisciplinary Ctr Secur Reliabil & Trust SnT L-1359 Luxembourg Luxembourg Univ Liege Dept Elect Engn & Comp Sci B-4000 Liege Belgium

This paper deals with day-ahead security management with respect to a postulated set of contingencies, while taking into account uncertainties about the next day generation/load scenario. In order to help the system operator in decision making under uncertainty, we aim at ranking these contingencies into four clusters according to the type of control actions needed to cover the worst uncertainty pattern of each contingency with respect to branch overload. To this end we use a fixed point algorithm that loops over two main modules: a discrete bi-level program (BLV) that computes the worst-case scenario, and a special kind of security constrained optimal power flow (SCOPF) which computes optimal preventive/corrective actions to cover the worst-case. We rely on a DC grid model, as the large number of binary variables, the large size of the problem, and the stringent computational requirements preclude the use of existing mixed integer nonlinear programming (MINLP) solvers. Consequently we solve the SCOPF using a mixed integer linear programming (MILP) solver while the BLV is decomposed into a series of MILPs. We provide numerical results with our approach on a very large European system model with 9241 buses and 5126 contingencies.

关键词： Bi-level programming mixed integer linear programming operation under uncertainty optimal power flow security-constrained optimal power flow worst-case analysis

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Congestion Service Facilities Location Problem with Promise of Response Time

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MATHEMATICAL PROBLEMS IN ENGINEERING 2013年第1期2013卷 1-11页

作者： Hu, Dandan Liu, Zhi-Wei Hu, Wenshan South Cent Univ Nationalities Sch Management Wuhan 430074 Peoples R China Wuhan Univ Dept Automat Wuhan 430072 Peoples R China

In many services, promise of specific response time is advertised as a commitment by the service providers for the customer satisfaction. Congestion on service facilities could delay the delivery of the services and hurts the overall satisfaction. In this paper, congestion service facilities location problem with promise of response time is studied, and a mixed integer nonlinear programming model is presented with budget constrained. The facilities are modeled as M/M/c queues. The decision variables of the model are the locations of the service facilities and the number of servers at each facility. The objective function is to maximize the demands served within specific response time promised by the service provider. To solve this problem, we propose an algorithm that combines greedy and genetic algorithms. In order to verify the proposed algorithm, a lot of computational experiments are tested. And the results demonstrate that response time has a significant impact on location decision.

关键词： CUSTOMER satisfaction mixed integer linear programming REACTION time GENETIC algorithms DECISION making PROBLEM solving

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Optimal design and operation of distributed energy systems: Application to Greek residential sector

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RENEWABLE ENERGY 2013年第Mar.期51卷 331-342页

作者： Mehleri, E. D. Sarimveis, H. Markatos, N. C. Papageorgiou, L. G. Natl Tech Univ Athens Sch Chem Engn GR-15780 Athens Greece UCL Ctr Proc Syst Engn Dept Chem Engn London WC1E 7JE England

This work presents an optimisation based approach for the integrated plan and evaluation of Distributed Energy Resources (DER) systems. The mathematical model takes into account site energy loads, local climate data, utility tariff structure, characteristics of the candidate DER technologies (technical and financial) as well as geographical aspects. The optimal integrated DER system is selected by minimising the total energy cost while guaranteeing reliable system operation. As an illustrative example, we consider a neighbourhood in Athens (Greece), where several options for satisfying its electricity and heat demands are investigated. The adoption of DER technologies combined with a heating pipeline network and a microgrid is examined. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Distributed energy resources Heating pipeline network Economic and operation strategies Optimisation mixed integer linear programming

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Fuzzy-metaheuristic methods to solve a hybrid flow shop scheduling problem with pre-assignment

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2013年第12期51卷 3609-3624页

作者： Yalaoui, Naim Ouazene, Yassine Yalaoui, Farouk Amodeo, Lionel Mahdi, Halim Univ Technol Troyes F-10010 Troyes France Caillau Co F-92130 Issy Les Moulineaux France

This paper deals with a particular version of the hybrid flow shop scheduling problem inspired from a real application in the automotive industry. Specific constraints such as pre-assigned jobs, non-identical parallel machines and non-compatibility between certain jobs and machines are considered in order to minimise the total tardiness time. A mixed-integer programming model that incorporates these aspects is developed and solved using ILOG Cplex software. Thus, because of the computation time constraint, we propose approximate resolution methods based on genetic and particle swarm optimisation algorithms coupled or not with fuzzy logic control. The effectiveness of these methods is investigated via computational experiments based on theoretical and real case instances. The obtained results show that fuzzy logic control improves the performances of both genetic and particle swarm optimisation algorithms significantly.

关键词： hybrid production systems metaheuristics fuzzy logic control pre-assignment mixed integer linear programming

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Integrated Scheduling and Dynamic Optimization of Complex Batch Processes with General Network Structure Using a Generalized Benders Decomposition Approach

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INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2013年第23期52卷 7867-7885页

作者： Chu, Yunfei You, Fengqi Northwestern Univ Dept Chem & Biol Engn Evanston IL 60208 USA

We address the integration of scheduling and dynamic optimization for batch chemical processes. The processes can have complex network structures, allowing material splitting and mixing. The integrated problem is formulated as a mixed-integer dynamic optimization problem where a continuous-time scheduling model is linked to the dynamic models via processing times, processing costs, and batch sizes. To reduce the computational complexity, we develop a tailored and efficient decomposition method based on the framework of generalized Benders decomposition by exploiting the special structure of the integrated problem. The decomposed master problem is a scheduling problem with variable processing times and processing costs, as well as the Benders cuts. The primal problem comprises a set of separable dynamic optimization problems for the processing units. By collaboratively optimizing the process scheduling and the process dynamics, the proposed method substantially improve the overall economic performance of the batch production compared with the conventional sequential method which solves the scheduling problem and the dynamic optimization problems separately. In comparison with the simultaneous method which solves the integrated problem by a general-purpose MINLP solver directly, the proposed method can reduce computational times by orders of magnitude.

关键词： DECOMPOSITION (Chemistry) BATCH processing mixed integer linear programming COMPUTATIONAL complexity PROBLEM solving COMPARATIVE studies

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Multi objective outbound logistics network design for a manufacturing supply chain

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JOURNAL OF INTELLIGENT MANUFACTURING 2013年第6期24卷 1071-1084页

作者： Hiremath, N. C. Sahu, Sadananda Tiwari, Manoj Kumar Indian Inst Technol Kharagpur Dept Ind Engn & Management Kharagpur 721302 W Bengal India

Outbound logistics network (OLN) in the downstream supply chain of a firm plays a dominant role in the success or failure of that firm. This paper proposes the design of a hybrid and flexible OLN in multi objective context. The proposed distribution network for a manufacturing supply chain consists of a set of customer zones (CZs) at known locations with known demands being served by a set of potential manufacturing plants, a set of potential central distribution centers (CDCs), and a set of potential regional distribution centers (RDCs). Three variants of a single product classified based on nature of demand are supplied to CZs through three different distribution channels. The decision variables include number of plants, CDCs, RDCs, and quantities of each variant of product delivered to CZs through a designated distribution channel. The goal is to design the network with multiple objectives so as to minimize the total cost, maximize the unit fill rates, and maximize the resource utilization of the facilities in the network. The problem is formulated as a mixed integer linear programming problem and a multiobjective genetic algorithm (MOGA) called non-dominated sorting genetic algorithm-II (NSGA-II) is employed to solve the resulting NP-hard combinatorial optimization problem. Computational experiments conducted on randomly generated data sets are presented and analyzed showing the effectiveness of the solution algorithm for the proposed network.

关键词： Outbound logistics network (OLN) Outbound logistics network design (OLND) Manufacturing supply chain mixed integer linear programming Multiobjective genetic algorithm NSGA-II

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Multicriteria optimization of a distributed energy supply system for an industrial area

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ENERGY 2013年 58卷 128-137页

作者： Buoro, D. Casisi, M. De Nardi, A. Pinamonti, P. Reini, M. Univ Udine Dept Elect Management & Mech Engn I-33100 Udine Italy Univ Trieste Dept Engn & Architecture I-34127 Trieste Italy

In the paper a multi-objective optimization model for distributed energy supply systems optimization is presented. The superstructure of the system comprehends a district heating network that connects the users to each other, small-scale CHP systems, large centralized solar plant and a thermal storage. The optimization has to determine the optimal structure of the system, the size of each component inside the optimal solution and the optimal operation strategy. The multi-objective optimization is based on a MILP (mixed integer linear programming) model and takes into account as objective function a linear combination of the annual cost for owning, maintaining and operating the whole system and the CO2 emissions associated to the system operation. The model allows to obtain different optimal solutions by varying the relative weight of the economic and the environmental objectives. In this way the Pareto Front is identified and the possible improvements in both economic and environmental terms can be highlighted. The model has been applied to a specific case study and it has been optimized for different superstructure configurations and for two different values of the electricity carbon intensity. The obtained results show that the solar plant, coupled with the optimal thermal storage, allows reaching both environmental and economic goals. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Multicriteria optimization District heating mixed integer linear programming Solar district heating CHP

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New General Discrete-Time Scheduling Model for Multipurpose Batch Plants

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INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2013年第48期52卷 17206-17220页

作者： Moniz, Samuel Barbosa-Povoa, Ana Paula de Sousa, Jorge Pinho Univ Lisbon Inst Super Tecn Ctr Estudos Gestao P-1049001 Lisbon Portugal INESC TEC P-4200465 Oporto Portugal Univ Porto Fac Engn P-4200465 Oporto Portugal

This work deals with the optimal short-term scheduling of general multipurpose batch plants, considering multiple operational characteristics such as sequence-dependent changeovers, temporary storage in the processing units, lots blending, and material flows traceability. A novel mixed integer linear programming (MILP) discrete-time formulation based on the State-Task Network (STN) is proposed, with new types of constraints for modeling changeovers and storage. We also propose some model extensions for addressing changeovers start;nonpreemptive lots;lots start and sizes;alternative task-unit and task-unit-layout assignments. Computational tests have shown that the proposed model is more effective than a similar model based on the Resource-Task Network (RTN).

关键词： DISCRETE-time systems MULTIPURPOSE plants mixed integer linear programming CHEMICAL processes FLOW (Fluid dynamics) SYSTEM analysis

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ECO Optimization Using Metal-Configurable Gate-Array Spare Cells

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IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 2013年第11期32卷 1722-1733页

作者： Chang, Hua-Yu Hui-Ru, Iris Chang, Yao-Wen Natl Taiwan Univ Grad Inst Elect Engn Taipei 10617 Taiwan Natl Chiao Tung Univ Dept Elect Engn Hsinchu 30010 Taiwan Natl Chiao Tung Univ Inst Elect Hsinchu 30010 Taiwan Natl Taiwan Univ Dept Elect Engn Taipei 10617 Taiwan Natl Taiwan Univ Grad Inst Elect Engn Taipei 10617 Taiwan Acad Sinica Res Ctr Informat & Technol Innovat Taipei 11529 Taiwan

Due to the rapidly increasing design complexity in modern IC designs, metal-only engineering change order (ECO) becomes inevitable to achieve design closure with a low respin cost. Traditionally, preplaced redundant standard cells are regarded as spare cells. However, these cells are limited by predefined functionalities and locations, and they always consume leakage power despite their inputs being tied off. To overcome the inflexibility and power overhead, a new type of spare cells, called metal-configurable gate-array spare cells, are introduced. In this paper, we address a new ECO problem, which performs design changes using metal-configurable gate-array spare cells. We first study the properties of this new ECO problem and propose a new cost metric, aliveness, to model the capability of a spare gate array. Based on aliveness and routability, we then develop two ECO optimization frameworks, one for timing ECO and the other for functional ECO. Experimental results show that our approach delivers superior efficiency and effectiveness.

关键词： Engineering change order gate array mixed integer linear programming

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Restoring stream habitat connectivity: A proposed method for prioritizing the removal of resident fish passage barriers

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JOURNAL OF ENVIRONMENTAL MANAGEMENT 2013年 125卷 19-27页

作者： O'Hanley, Jesse R. Wright, Jed Diebel, Matthew Fedora, Mark A. Soucy, Charles L. Univ Kent Kent Business Sch Canterbury CT2 7PE Kent England US Fish & Wildlife Serv Gulf Maine Coastal Program Falmouth ME 04105 USA Wisconsin Dept Nat Resources Sci Operat Ctr Bur Sci Serv Madison WI 53716 USA Forest Serv Eastern Reg USDA Ironwood MI 49938 USA Australis Aquaculture LLC Turners Falls MA 01376 USA

Systematic methods for prioritizing the repair and removal of fish passage barriers, while growing of late, have hitherto focused almost exclusively on meeting the needs of migratory fish species (e.g., anadromous salmonids). An important but as of yet unaddressed issue is the development of new modeling approaches which are applicable to resident fish species habitat restoration programs. In this paper, we develop a budget constrained optimization model for deciding which barriers to repair or remove in order to maximize habitat availability for stream resident fish. Habitat availability at the local stream reach is determined based on the recently proposed C metric, which accounts for the amount, quality, distance and level of connectivity to different stream habitat types. We assess the computational performance of our model using geospatial barrier and stream data collected from the Pine-Popple Watershed, located in northeast Wisconsin (USA). The optimization model is found to be an efficient and practical decision support tool. Optimal solutions, which are useful in informing basin-wide restoration planning efforts, can be generated on average in only a few minutes. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Fish passage barriers Optimal barrier removal Stream habitat restoration Resident fish mixed integer linear programming

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