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Design of Extrapolated Impulse Response FIR Filters With Residual Compensation in Subexpression Space

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2009年第12期56卷 2621-2633页

作者： Yu, Ya Jun Shi, Dong Lim, Yong Ching Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore

In this paper, an extrapolated impulse response filter with residual compensation is proposed for the design of discrete coefficient finite-impulse response (FIR) filters using subexpression sharing. The proposed technique utilizes the quasi-periodic nature of the filter impulse response to approximate the filter coefficients. The reduced degree of freedom of filter coefficients due to the quasi-periodic approximation is perfectly restored by introducing a residual compensation technique. The resulting subexpression sharing synthesis of discrete coefficient FIR filters has lower complexities than that of the conventional synthesis techniques in terms of number of adders. To further reduce the synthesis complexity, filter coefficients and residuals may be optimized in subexpression spaces. mixed integer linear programming is formulated for the optimization. Numerical examples show that the number of adders required by synthesizing the filters in the proposed structure is significantly reduced compared to that of the conventional synthesis schemes synthesized in direct or transposed direct form.

关键词： Common subexpression sharing extrapolated impulse response finite-impulse response (FIR) filters mixed integer linear programming residual compensation subexpression space

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Short Term Portfolio Optimization for Discrete Power Plant Dispatching

Short Term Portfolio Optimization for Discrete Power Plant D...

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General Meeting of the IEEE-Power-and-Energy-Society

作者： Rebennack, Steffen Iliadis, Niko A. Kallrath, Josef Pardalos, Panos M. Univ Florida Dept Ind & Syst Engn Gainesville FL 32611 USA Univ Florida Dept Astron Gainesville FL 32611 USA EnerCoRD GR-17121 Athens Greece

ISBN: (纸本)9781424442409

In this article, we consider a public power service in the liberalized market, operating its own power plant and participating in the spot market. In the short-term horizon, the objective is to optimize the dispatch of the power plant in discreet steps. The public service has to meet the demand of its customers, while trading in the spot market where transaction costs apply. The power plant operation is subject to several technical constraints, as minimum down-/up-time, ramping constraints, minimum operation level constraints, minimum/maximum production per day, and the costs are given by the start-up costs, the operational cost following an efficiency curve and CO2 emission cost. This problem is modeled through a mixed integer linear programming (MILP) formulation.

关键词： balancing market CO2 certificates mixed integer linear programming portfolio optimization spot market power plant dispatch revenue maximization transaction cost

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Network Model and Optimization of Medical Waste Reverse Logistics by Improved Genetic Algorithm

Network Model and Optimization of Medical Waste Reverse Logi...

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4th International Symposium on Intelligence Computation and Applications

作者： Shi, Lihong Fan, Houming Gao, Pingquan Zhang, Hanyu Dalian Maritime Univ Transportat Management Coll Dalian 116026 Liaoning Prov Peoples R China

ISBN: (纸本)9783642048425

The medical waste management is of great importance because of the potential environmental hazards and public health risks. Manufacturers have to collect the medical waste and control its recovery or disposal. Medical waste recovery, which encompasses reusing, remanufacturing and materials recycling, requires a specially structured reverse logistics network in order to collect the medical waste efficiently. This paper presents a mixed integer linear programming model with minimizing costs for medical waste reverse logistics networks. The total costs for reverse logistics include transportation cost, fixed cost of opening the collecting centers and processing centers and operation cost at these facilities over finite planning horizons. An improved genetic algorithm method with a hybrid encoding rule is used to solve the proposed model. The efficiency and practicability of the proposed model is validated by an application to an illustrative example dealing with medical waste returned from some hospitals to a given manufacture.

关键词： genetic algorithm medical waste mixed integer linear programming reverse logistics network

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Optimal Cyclic Multiple Hoist Scheduling for Processes with Loops and Parallel Resources

Optimal Cyclic Multiple Hoist Scheduling for Processes with ...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Froehlich, Ralf Steneberg, Steffen C. Hamburg Univ Technol Inst Automat Hamburg Germany

ISBN: (纸本)9781424427932

This paper addresses the cyclic multi-hoist scheduling problem. The problem arises in automated electroplating lines where multiple hoists are operating on a shared track. The considered processing sequences may be different from the location sequence of the tanks and may contain loops, i.e. multiple usages of single tanks within a sequence. In addition the electroplating line may be equipped with identical tanks used as parallel resources. A mixed integer linear programming (MILP) formulation for optimizing the cycle time is developed considering in particular collisions of hoists, loops in the process sequence and parallel tanks. The developed model is tested and evaluated using a real world example indicating that the presented solution finds optimal cyclic schedules in reasonable time.

关键词： Cyclic Multi-Hoist Scheduling Parallel Resources and Process Loops mixed integer linear programming

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A Variable Neighbourhood Search Heuristic for Point Coverage, Sink Location and Data Routing in Wireless Sensor Networks

A Variable Neighbourhood Search Heuristic for Point Coverage...

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2nd International Conference on Communication Theory, Reliability and Quality of Services

作者： Guney, Evren Altinel, I. Kuban Aras, Necati Ersoy, Cem Bogazici Univ Istanbul Turkey

ISBN: (纸本)9781424444236

In this work point coverage, sink location and data routing problems are considered in an integrated way and two new mixed integer programming formulations are proposed. Since these models are computationally difficult to solve, a hierarchical solution procedure is proposed. In the top level, best sensor locations are sought by variable neighbourhood search. Given the sensor locations, a simpler formulation can be obtained and a Lagrangean Heuristic is used to solve the sink location and data routing model efficiently. Experimental results indicate that the performance of hierarchical solution approach is very good.

关键词： mixed integer linear programming routing point coverage sink location wireless sensor networks

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Job Batching and Scheduling for Parallel Non-Identical Machines via MILP and Petri Nets

Job Batching and Scheduling for Parallel Non-Identical Machi...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Froehlich, Ralf Huesig, Matthias Hamburg Univ Technol Inst Automat Hamburg Germany

ISBN: (纸本)9781424427932

This paper presents two modeling approaches for hatching and scheduling jobs on parallel non-identical machines. For scheduling of jobs the due dates as a hard restriction and machine dependent processing times are considered. Between each of the jobs a setup may be necessary or not, depending on the predecessor. The setup of the machines is done by a single worker who needs to be scheduled as well, since only he can serve one machine at a lime. The objective is to maximize the overall workload of the machines meeting the constraint of the due dates. While the first approach uses mixed integer linear programming to calculate an optimal schedule, the second one uses a simulation, based on colored Petri nets. Both methods are tested and evaluated using illustrative simulation examples.

关键词： Family Setup Times Scheduling on Parallel Non-Identical Machines mixed integer linear programming Colored Petri Nets

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Modeling a PCB assembly line with modular reconfigurable placement machines

Modeling a PCB assembly line with modular reconfigurable pla...

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IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2009)

作者： Rong, A. Toth, A. Nevalainen, O. S. Lahdelma, R. Knuutila, T. Univ Turku Dept Informat Technol Turku 20014 Finland Aalto Univ Dept Energy Technol Espoo 02150 Finland Univ Szeged Juhasz Gyula Fac Educ Szeged Hungary

ISBN: (纸本)9781424448692

In this paper, we consider the combined task of determining a favorable machine configuration and line balancing for a single assembly line where a single type of PCB is assembled with a set of interconnected, reconfigurable machine modules. First, we formulate the problem as a non-linear integer programming model with the objective of minimizing the cycle time. Then we transform it into a linear model to obtain the solution. Finally, we illustrate the effectiveness of the model by numerical tests and compare the optimal solution from our model with evolutionary algorithm.

关键词： Printed circuit board assembly line balancing reconfigurable machine modules integer programming mixed integer linear programming

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Supervised learning of intra-daily recourse strategies for generation management under uncertainties

Supervised learning of intra-daily recourse strategies for g...

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Bucharest PowerTech Conference

作者： Cornelusse, Bertrand Vignal, Gerald Defourny, Boris Wehenkel, Louis Univ Liege Dept Elect Engn & Comp Sci B-4000 Liege Belgium EDF R&D OSIRIS Dept F-92141 Clamart France

ISBN: (纸本)9781424422340

The aim of this work is to design intra-daily recourse strategies which may be used by operators to decide in real-time the modifications to bring to planned generation schedules of a set of units in order to respond to deviations from the forecasted operating scenario. Our aim is to design strategies that are interpretable by human operators, that comply with real-time constraints and that cover the major disturbances that may appear during the next day. To this end we propose a new framework using supervised learning to infer such recourse strategies from simulations of the system under a sample of conditions representing possible deviations from the forecast. This framework is validated on a realistic generation system of medium size.

关键词： mixed integer linear programming generation planning uncertainty management machine learning

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Application of Zonal Pricing in Greece's Electricity Market

Application of Zonal Pricing in Greece's Electricity Market

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6th International Conference on the European Energy Market

作者： Andrianesis, Panagiotis Liberopoulos, George Papalexopoulos, Alex Univ Thessaly Dept Mech Engn Volos 38334 Greece ECCO Int Inc San Francisco CA 94104 USA

ISBN: (纸本)9781424444540

Greece's electricity market is divided in two zones, North and South, due to a generation-consumption system configuration that creates a significant transmission bottleneck from North to South. Clearly, a zonal pricing approach for energy provides the right incentive for the installation of new generation near consumption, if the zonal configuration reflects actual system and operational conditions. In this paper, we extend the zonal approach to include the time response-based ancillary services (also called "reserves"), which are commodities that are traded in the day-ahead market and are co-optimized with energy. We focus on the Day-Ahead Scheduling (DAS) market problem, which we formulate as a Security-Constrained Unit-Commitment problem whose objective is to co-optimize energy and reserves, taking into account the generation units' commitment costs. We model the DAS market problem as a mixed-integer linear programming problem that is solved every day, simultaneously for all 24 hours of the next day. Dual analysis of the problem and calculation of shadow prices provides useful insight on how prices for each commodity are set in the presence of binding resource, transmission or zonal reserve constraints. We use a simplified model of the Greek electricity system that includes only thermal plants to illustrate the developed methodology, the resulting market solutions and unit schedules, and the energy and ancillary services marginal prices. We also analyze and discuss issues such as the interaction between the commodities of energy and ancillary services under the marginal pricing approach.

关键词： Electricity market zonal marginal pricing Ancillary Services mixed integer linear programming

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Integral planning of primary-secondary distribution systems using mixed integer linear programming

Integral planning of primary-secondary distribution systems ...

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IEEE General Meeting Power& Energy Society

作者： A.J. Urdaneta P.C. Paiva H. Khodr J. Dominguez-Navarro Yustam JM Universidad Simon Bolivar Venezuela Universidad de Zaragoza Spain

Summary form only given. Important research effort has been devoted to the topic of optimal planning of distribution systems. However, in general it has been mostly referred to the design of the primary network, with very modest considerations to the effect of the secondary network in the planning and future operation of the complete grid. Relatively little attention has been paid to the optimization of the secondary grid and to its effect on the optimality of the design of the complete electrical system, although the investment and operation costs of the secondary grid represent an important portion of the total costs. Appropriate design procedures have been proposed separately for both the primary and the secondary grid, however in general both planning problems have been presented and treated as different, almost isolated problems, setting aside with this approximation some important factors that couple both problems, such as the fact that they may share the right of way, use the same poles, etc., among other factors that strongly affect the calculation of the investment costs. The main purpose of this work is the development and initial testing of a model for the optimal planning of a distribution system that includes both the primary and the secondary grids, so that a single optimization problem is stated for the design of the integral primary-secondary distribution system that overcomes these simplifications. The mathematical model incorporates the variables that define both the primary as well as the secondary planning problems and consists of a mixed integer-linear programming problem that may be solved by means of any suitable algorithm. Results are presented of the application of the proposed integral design procedure using conventional mixed integer-linear programming techniques to a real case of a residential primary-secondary distribution system consisting of 75 electrical nodes.

关键词： mixed integer linear programming Design optimization Investments Cost function System testing Mathematical model Mathematical programming

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