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Long-term turnaround planning for integrated chemical sites

COMPUTERS & CHEMICAL ENGINEERING 2015年 72卷 145-158页

作者： Amaran, Satyajith Sahinidis, Nikolaos V. Sharda, Bikram Morrison, Matt Bury, Scott J. Miller, Scott Wassick, John M. Carnegie Mellon Univ Dept Chem Engn Pittsburgh PA 15217 USA Dow Chem Co USA Core R&D Engn Sci Proc Optimizat Midland MI 48674 USA Dow Chem Co USA Engn Solut Tech Ctr Midland MI 48674 USA Dow Chem Co USA Maintenance Tech Ctr Midland MI 48674 USA Dow Chem Co USA Supply Chain Expertise Ctr Midland MI 48674 USA

An integrated chemical site involves a complex network of chemical plants. Typically, these plants interact closely, are dependent on each other for raw materials and demand for their products, and have the provision of intermediate storage tanks to help manage inventory at strategic points in the network. Disruptions in the operation of these plants can drastically affect flow of material in the site network. As a result, the choice of sequence and timing of planned periodic turnarounds, which are major disruptions, is important in order to minimize effects on profits and production. We investigate a discrete-time mixed-integer linear programming (MILP) model to perform turnaround optimization. The objective is to recommend potential schedules in order to minimize losses while satisfying network, resource, turnaround, demand, financial and other practical constraints. We propose general formulations to tackle this problem and study an industrial-size site network under various scenarios over a long-term horizon. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Maintenance scheduling Turnaround planning Enterprise-wide optimization mixed-integer linear programming

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Impact of Wavelength and Modulation Conversion on Translucent Elastic Optical Networks Using MILP

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JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING 2015年第7期7卷 644-655页

作者： Wang, X. Brandt-Pearce, M. Subramaniam, S. Univ Virginia Dept Elect & Comp Engn Charlottesville VA 22904 USA George Washington Univ Dept Elect & Comp Engn Washington DC 20052 USA

Compared to legacy wavelength division multiplexing networks, elastic optical networks (EONs) have added flexibility to network deployment and management. EONs can include previously available functionality, such as signal regeneration and wavelength conversion, as well as new features such as finer-granularity spectrum assignment and modulation conversion. Yet each added feature adds to the cost of the network. In order to quantify the potential benefit of each functionality, we present a link-based mixed-integer linear programming (MILP) formulation to solve the optimal resource allocation problem. We then propose a recursive model in order to either augment existing network deployments (spectrum and regenerators) or speed up the resource allocation computation time for larger networks with higher traffic demand requirements than can be solved using an MILP. We show through simulation that systems equipped with signal regenerators or wavelength converters require a notably smaller total bandwidth, depending on the topology of the network. We also show that the suboptimal recursive solution speeds up the calculation and makes the running time more predictable, compared to the optimal MILP.

关键词： Elastic optical networks mixed-integer linear programming Modulation conversion Regeneration placement Spectral resource allocation

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Near-Optimal Method for Siting and Sizing of Distributed Storage in a Transmission Network

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IEEE TRANSACTIONS ON POWER SYSTEMS 2015年第5期30卷 2288-2300页

作者： Pandzic, Hrvoje Wang, Yishen Qiu, Ting Dvorkin, Yury Kirschen, Daniel S. Univ Zagreb Fac Elect Engn & Comp HR-10000 Zagreb Croatia Univ Washington Dept Elect Engn Seattle WA 98195 USA

Energy storage can alleviate the problems that the uncertainty and variability associated with renewable energy sources such as wind and solar create in power systems. Besides applications such as frequency control, temporal arbitrage or the provision of reserve, where the location of storage is not particularly relevant, distributed storage could also be used to alleviate congestion in the transmission network. In such cases, the siting and sizing of this distributed storage is of crucial importance to its cost-effectiveness. This paper describes a three-stage planning procedure to identify the optimal locations and parameters of distributed storage units. In the first stage, the optimal storage locations and parameters are determined for each day of the year individually. In the second stage, a number of storage units is available at the locations that were identified as being optimal in the first stage, and their optimal energy and power ratings are determined. Finally, in the third stage, with both the locations and ratings fixed, the optimal operation of the storage units is simulated to quantify the benefits that they would provide by reducing congestion. The quality of the final solution is assessed by comparing it with the solution obtained at the first stage without constraints on storage sites or size. The approach is numerically tested on the IEEE RTS 96.

关键词： Energy storage mixed-integer linear programming storage siting storage sizing unit commitment

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Optimal distributed static series compensator placement for enhancing power system loadability and reliability

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IET GENERATION TRANSMISSION & DISTRIBUTION 2015年第11期9卷 1043-1050页

作者： Dorostkar-Ghamsari, Mohammadreza Fotuhi-Firuzabad, Mahmud Aminifar, Farrokh Safdarian, Amir Lehtonen, Matti Sharif Univ Technol Dept Elect Engn Ctr Excellence Power Syst Control & Management Tehran Iran Univ Tehran Sch Elect & Comp Engn Coll Engn Tehran Iran Aalto Univ Dept Elect Engn Espoo Finland

Distributed static series compensator (DSSC) is a member of the family of distributed flexible AC transmission system devices that can be attached directly to conductors of transmission lines. DSSCs are able to compensate for and adjust the line reactance;thus, they could be widely used in stability-limited transmission systems. Owing to economic matters, the optimal placement of DSSCs is of a great interest from practical viewpoints. This study presents an approach to find the optimal locations of DSSCs to enhance the system loadability and reliability using the DC load flow model. The optimisation problem is solved using the mixed-integer linear programming. A compromise between improving the system loadability and reliability is fulfilled and a wide range of non-dominated optimal solutions is calculated. The final solution is then selected using the fuzzy satisfying method. Numerical studies are conducted on the IEEE reliability test system (IEE-RTS).

关键词： power system reliability optimal placement mixed-integer linear programming line reactance Power system management, operation and economics optimal distributed static series compensator placement Optimisation techniques Power transmission lines and cables flexible AC transmission systems a.c. transmission stability-limited transmission systems power transmission reliability IEEE reliability test system transmission line conductors Reliability power transmission economics optimisation power system loadability economic matters optimisation problem DC load flow load flow power transmission lines distributed flexible AC transmission system devices

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Considerations of Sectionalizing Switches in Distribution Networks With Distributed Generation

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IEEE TRANSACTIONS ON POWER DELIVERY 2015年第3期30卷 1401-1409页

作者： Heidari, Alireza Agelidis, Vassilios G. Kia, Mohsen Univ New S Wales Sch Elect Engn & Telecommun Sydney NSW 2052 Australia Shahid Beheshti Univ Coll Engn Abbaspour Tehran Iran

Introducing distributed generation (DG) into distribution networks can affect the problem of optimal switch placement. A method for solving the problem of optimal placement of sectionalizing switches with a large number of DGs is presented. The primary objective is to minimize the total cost of achieving a certain level of reliability in the presence of DG. The problem is formulated using mixed-integer linear programming to determine the optimal number and location of sectionalizing switches. Allowing DG to operate in an island mode is also considered. The effectiveness of the proposed formulation is examined on a modified reliability test system. The presented results indicate that the proposed formulation can provide a global optimum solution for the problem of sectionalizing switch placement, while reliability, capital investment, and annual operation and maintenance costs are considered. Furthermore, DG can play a key role in providing a reasonable improvement in the reliability indices of the system.

关键词： Distributed generation (DG) mixed-integer linear programming power distribution reliability sectionalizing switch

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Modeling of flow splitting for production optimization in offshore gas-lifted oil fields: Simulation validation and applications

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JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING 2015年 128卷 86-97页

作者： Silva, Thiago Lima Camponogara, Eduardo Teixeira, Alex Furtado Sunjerga, Snjezana Univ Fed Santa Catarina Dept Automat & Syst Engn BR-88040900 Florianopolis SC Brazil Petrobras Res Ctr BR-21949900 Rio De Janeiro RJ Brazil Petr Engn Reservoir Analysts N-7048 Trondheim Norway

In modern offshore oil fields, wells can be equipped with routing valves to direct their production to multiple manifold headers, a strategy that is routinely adopted in practice either to provide resilience to equipment failure or to improve production. However, the existing models for production optimization do not account for splitting of flows and therefore require the wells to be connected to a single header. To this end, this work develops a nonlinear model of flow splitting that reproduces the complex behavior observed in multiphase-flow simulation. This model is further approximated with multidimensional piecewise-linear functions to a desired degree of accuracy with respect to simulated behavior. These piecewise-linear functions enable the development of a mixed-integer linear programming (MILP) formulation for production optimization, which decides between single and multiple routing of wells to headers. The effectiveness of this MILP formulation is assessed in a synthetic but representative gas-lifted oil field modeled in a standard simulator. (C) 2015 Elsevier B.V. All rights reserved.

关键词： daily production optimization gas-lift flow splitting mixed-integer linear programming

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Analysis of Singapore Electricity Market Clearing Model with Transmission Network Consideration

Analysis of Singapore Electricity Market Clearing Model with...

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IEEE Region 10 Conference

作者： Zhen Shu Shengfeng Zhou Kelvin Tan Kian Hock Gooi Hoay Beng Energy R&D DNV GL School of Electrical and Electronic Engineering Nanyang Technological University

ISBN: (纸本)9781509025985

The analysis of electricity market model plays a very important role in power system planning and market design. It is usually established based on economic deliberation and reliability requirement. This paper investigates the electricity market clearing model (MCM) of Singapore as a representative of Southeast Asia countries. The MCM is formulated as an optimization framework, where the system network topology is properly incorporated. The market clearing policies for energy and ancillary services are explicitly included in the mathematical model. Case studies have been performed on a transmission test system based on local market data. The optimal dispatch for generation production, as well as the locational marginal prices are achieved, providing effective decision-making support for power system planners and operators.

关键词： Singapore wholesale electricity market power system market clearing process electric generation dispatch mixed-integer linear programming

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Formulations and algorithms for the multiple depot, fuel-constrained, multiple vehicle routing problem

Formulations and algorithms for the multiple depot, fuel-con...

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American Control Conference

作者： Kaarthik Sundar Saravanan Venkatachalam Sivakumar Rathinam Dept. of Mechanical Engg. Texas A&M University College Station 77843 USA Dept. of Industrial and Systems Engg. Wayne State University Detroit MI 48202 USA

ISBN: (纸本)9781467386838

We consider a multiple depot, multiple vehicle routing problem with fuel constraints. We are given a set of targets, a set of depots and a set of homogeneous vehicles, one for each depot. The depots are also allowed to act as refueling stations. The vehicles are allowed to refuel at any depot, and our objective is to determine a route for each vehicle with a minimum total cost such that each target is visited at least once by some vehicle, and the vehicles never run out fuel as it traverses its route. We refer to this problem as the Multiple Depot, Fuel-Constrained, Multiple Vehicle Routing Problem (FCMVRP). This paper presents four new mixed integer linear programming formulations to compute an optimal solution for the problem. Extensive computational results for a large set of instances are also presented.

关键词： unmanned vehicle routing fuel constraints green vehicle routing electric vehicles mixed-integer linear programming WAREHOUSE vehicle Electric vehicles mixed integer linear programming Vehicle routing Total Costs Refuelling

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Fix-and-relax approaches for controlled tabular adjustment

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COMPUTERS & OPERATIONS RESEARCH 2015年 58卷 41-52页

作者： Baena, Daniel Castro, Jordi Gonzalez, Jose A. Univ Politecn Cataluna Dept Stat & Operat Res ES-08034 Barcelona Spain

Controlled tabular adjustment (CIA) is a relatively new protection technique for tabular data protection. CTA formulates a mixed integer linear programming problem, which is challenging for tables of moderate size. Even finding a feasible initial solution may be a challenging task for large instances. On the other hand, end users of tabular data protection techniques give priority to fast executions and are thus satisfied in practice with suboptimal solutions. This work has two goals. First, the fix-and-relax (FR) strategy is applied to obtain good feasible initial solutions to large CTA instances. FR is based on partitioning the set of binary variables into clusters to selectively explore a smaller branch-and-cut tree. Secondly, the FR solution is used as a warm start for a block coordinate descent (BCD) heuristic (approach named FR+BCD);BCD was confirmed to be a good option for large CTA instances in an earlier paper by the second and third co-authors (Comput Oper Res 2011;38:1826-35 [23]). We report extensive computational results on a set of real-world and synthetic CTA instances. FR is shown to be competitive compared to CPLEX branch-and-cut in terms of quickly finding either a feasible solution or a good upper bound. FR+BCD improved the quality of FR solutions for approximately 25% and 50% of the synthetic and real-world instances, respectively. FR or FR+BCD provided similar or better solutions in less CPU time than CPLEX for 73% of the difficult real-world instances. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Fix-and-relax Block coordinate descent mixed-integer linear programming Controlled tabular adjustment Primal heuristics Feasibility pump Statistical disclosure control

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A comparison of thermal energy storage models for building energy system optimization

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ENERGY AND BUILDINGS 2015年 93卷 23-31页

作者： Schuetz, Thomas Streblow, Rita Mueller, Dirk Rhein Westfal TH Aachen EON Energy Res Ctr Inst Energy Efficient Bldg & Indoor Climate D-52074 Aachen Germany

In this study, four approaches to model stratification in thermal energy storage (TES) units with mixed-integer linear programs are introduced. These stratification models are compared with the widely utilized capacity model, in which TES units are modeled as homogeneous volumes. The approaches are verified with a use case consisting of a single building with a monovalent heating system comprising a combined heat and power (CHP) unit and a TES unit. The objective is the minimization of the total operational costs. The results conclude that both models, capacity and stratification models, generate electricity driven schedules. In the capacity model, the minimum energy content is typically set to a constant value, mostly zero, while the layered storage model allows for implementing more accurate restrictions, such as the required flow temperature based on the building's heating curve. Consequently, the capacity model overrates the system's efficiency, thus underestimating the operating costs by 6-7%. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Thermal storage unit Optimization mixed-integer linear programming Combined heat and power Building energy system Capacity model Thermal stratification

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