The paper presents fast method of unit commitment on balancing market, which also provides system security both in steady and all N-1 contingency states. Two types of generating units were modelled: thermal steam-turb...
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ISBN:
(纸本)9781479960958
The paper presents fast method of unit commitment on balancing market, which also provides system security both in steady and all N-1 contingency states. Two types of generating units were modelled: thermal steam-turbine unit and pumped-storage unit. Unit parameters were specified accordingly to available data from Polish power plants and Transmission System operator (TSO). The day-ahead balancing market was chosen because the most frequent on this market the technical requirements of the system are checked. The mixedinteger linear optimization was proposed as an optimization technique, as the most promising from the literature survey. The objective linear function includes energy bids, reserve bids and start-up costs for each time interval, each market participant and each commissioned unit. The 636-bus network based on the frame of the Polish power system network, was used in the calculations. The model included 52 generator nodes with 117 units which are dispatched in the optimization process..
Determining optimal transmission entry capacity (TEC) is very crucial for ensuring an optimal usage of transmission network. It is a complex process to determine the correct TEC levels due to high amount of factors in...
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ISBN:
(纸本)9781479924493
Determining optimal transmission entry capacity (TEC) is very crucial for ensuring an optimal usage of transmission network. It is a complex process to determine the correct TEC levels due to high amount of factors involved. A number of policies encourages the penetration of renewable energy sources with special focus on wind and solar power. Due to intermittent nature of wind energy, the process of determining TEC levels gets ever more complex. Besides, the increasing complexity of finding the optimum TEC levels for generators, another problem is that dispatch of conventional generators are affected by wind power productions. Therefore, the dispatch of all generators become uncertain due to uncertain nature of wind. In this conditions, the optimal usage of the transmission network is very important for efficient operation of the electricity markets. The aim of this paper is to find the optimal TEC levels for electricity generating firms. It uses linear optimisation model and mixedinteger linear programming model for non-firm and firm dispatch conditions respectively. The derived models are applied to the IEEE 24-Node test system.
The dynamic cellular manufacturing system (DCMS) is a well-known strategy that typically improves manufacturing efficiency in dynamic and changing production environment product mix and demand usually change. The lite...
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ISBN:
(纸本)9781479953769
The dynamic cellular manufacturing system (DCMS) is a well-known strategy that typically improves manufacturing efficiency in dynamic and changing production environment product mix and demand usually change. The literature which relates to DCMS is reviewed. Then an integrated mixed-integer model which comprehensively investigate and analyze cell formation, intercellular and intracellular materials handling, inventory and backorder holding, considering multi-production planning with multi-functional machines where each period has different demands. An numerical example is solved using a genetic algorithm and it presents that proposed model is useful.
In order to improve the utilization of CT in hospital, this paper build a MIP based scheduling model and solve it with CPLEX to get the optimization policy. Numeric example with real data from a large general hospital...
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ISBN:
(纸本)9781479931347
In order to improve the utilization of CT in hospital, this paper build a MIP based scheduling model and solve it with CPLEX to get the optimization policy. Numeric example with real data from a large general hospital in West China are employed to do comparison between optimization policy and manual policy to prove the effectiveness of the model.
This paper studies the single machine family scheduling problem in which the goal is to minimize total tardiness. We analyze two alternative mixed-integerprogramming (MIP) formulations with respect to the time requir...
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This paper studies the single machine family scheduling problem in which the goal is to minimize total tardiness. We analyze two alternative mixed-integerprogramming (MIP) formulations with respect to the time required to solve the problem using a state-of-the-art commercial MIP solver. The two formulations differ in the number of binary variables: the first formulation has O(n(2)) binary variables whereas the second formulation has O(n(3)) binary variables, where n denotes the number of jobs to be scheduled. Our findings indicate that despite the significant higher number of binary variables, the second formulation leads to significantly shorter solution times for problem instances of moderate size. (C) 2014 Elsevier B.V.
Reliable communication between computer systems have been one of the most important and all-pervasive feature of the computer revolution. First-generation optical networks simply replaced copper wires by optical fiber...
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ISBN:
(纸本)9781479931408
Reliable communication between computer systems have been one of the most important and all-pervasive feature of the computer revolution. First-generation optical networks simply replaced copper wires by optical fibers, in order to take advantage of the higher bandwidth of opticalcommunication. In second-generation optical networks, routing, switching, and many other network operations are done at the optical level. This paper proposes the routing and wavelength assignment (RWA) problem in translucent optical networks. Translucent optical networks are a compromise between all optical (transparent) networks and opaque networks. The optical network considered here has signal regeneration capability at some sparsely placed regenerator nodes only. The differences in the routing of signals via nodes with regenerators and without regenerators are discussed. The optimization of RWA problem using branch and price and the results obtained are also discussed.
This paper proposes the routing and wavelength assignment(RWA) problem in translucent optical networks. Translucent optical networks are a compromise between all optical (transparent) networks and opaque networks. In ...
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ISBN:
(纸本)9781479931408
This paper proposes the routing and wavelength assignment(RWA) problem in translucent optical networks. Translucent optical networks are a compromise between all optical (transparent) networks and opaque networks. In this paper, the optical network considered has regeneration capability at some sparsely placed regenerator nodes only. The difference in the routing of signals via nodes with regenerators and without regenerators are discussed. The optimization of RWA problem using some criteria and the results obtained are also discussed.
A problem of personnel scheduling in a multiskilled environment is addressed. This problem is treated in an integrated manner, modelling shift scheduling and task assignment as one problem. Additionally, the integrate...
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A problem of personnel scheduling in a multiskilled environment is addressed. This problem is treated in an integrated manner, modelling shift scheduling and task assignment as one problem. Additionally, the integrated approach allows also to better model intraday breaks and days-off scheduling. Alternative MIP formulations are presented which lead to optimal shift schedulings and task assignments. Improved models are obtained by deriving new block indexed and position indexed variables. Computational results show the improvement obtained by extended formulations. (C) 2013 Elsevier B.V. All rights reserved.
Contemporary supercomputers can easily provide years of CPU time per wall-clock hour. One challenge of today's software development is how to harness this vast computing power in order to solve really hard mixed-i...
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ISBN:
(纸本)9781479941162
Contemporary supercomputers can easily provide years of CPU time per wall-clock hour. One challenge of today's software development is how to harness this vast computing power in order to solve really hard mixed-integerprogramming instances. In 2010, two out of six open MIPLIB2003 instances could be solved by ParaSCIP in more than ten consecutive runs, restarting from checkpointing files. The contribution of this paper is threefold: For the first time, we present computational results of single runs for those two instances. Secondly, we provide improved upper and lower bounds for all of the remaining four open MIPLIB2003 instances. Finally, we explain which new developments led to these results and discuss the current progress of ParaSCIP. Experiments were conducted on HLRN II, on HLRN III, and on the Titan supercomputer, using up to 35,200 cores.
This paper addresses the optimal power management problems in electric cooling systems based on appropriately constructed thermal dynamic models and cost profiles. In this venue, the dynamics and logical constraints f...
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ISBN:
(纸本)9781479932740
This paper addresses the optimal power management problems in electric cooling systems based on appropriately constructed thermal dynamic models and cost profiles. In this venue, the dynamics and logical constraints for the cooling load are first formulated as mixed-integer linear programming models. We subsequently apply an online learning algorithm to adjust the weighting factor for customers' satisfaction level considering the fluctuating prices and customers' preferences. The proposed approach is expected to save the user's electricity cost by adequately scheduling the operations of the cooling load without an adverse effect on the entire system. The effectiveness of the proposed temperature control and trade-off between electricity cost and customers' satisfaction level is demonstrated via a simulation scenario.
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