Layered Network Model Approach to Optimal Daily Hydro Scheduling

Wakamori,; Masui,; Morita, Itsuro; Sugiyama,

doi:10.1109/mper.1982.5519489

Cited by 4 publications

(4 citation statements)

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“…The weight of an edge between vertices u and v is denoted by c uv or w(u,v), a flow from s to t is denoted by f st . A layered network (LN) [16] is such a network with following characters:…”

Section: B the Establish Of Optimal Process Model Of Rtpmentioning

confidence: 99%

Multi-Objective Optimal Configuration of Reconfigurable Test Platform: A Modified Discrete Particle Swarm Optimization Approach

Zhao³

2014

JNW

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The reconfigurable test platform (RTP) is designed to test high speed, high reliability and super precision indexes of wafer transmission robot, which can transfer and align wafers in the semiconductor manufacturing. This paper focuses on optimal configuration of the test platform. First, the problem is described considering three important yet conflicting factors: assembly, structural stiffness, and cost. Second, based on the combination sequence of function requirements and the connection relationship of modules, a multi-objective optimal decision-making model was formulated. And then, based on layered network and dependent degree methods, the multi-objective model is improved to be an only one objective optimization problem. Finally, the modified discrete particle swarm optimization (MDPSO) algorithm is proposed to solve the model and generate the best configuration scheme of RTP. Our computational results have shown that the MDPSO algorithm is efficient and robust. And the results demonstrate that the developed methods can be used to improve the test platform design efficiency and reduce the production cost.

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Section: B the Establish Of Optimal Process Model Of Rtpmentioning

confidence: 99%

Multi-Objective Optimal Configuration of Reconfigurable Test Platform: A Modified Discrete Particle Swarm Optimization Approach

Zhao³

2014

JNW

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“…subject to all constraints related to the hydro system (5)- (7). An innovative incremental network flow programming is introduced to solve the hydro subproblem.…”

Section: Hydro Subproblemmentioning

confidence: 99%

Implementation of network flow programming to the hydrothermal coordination in an energy management system

Jap

Streiffert

1993

IEEE Trans. Power Syst.

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“…Unfortunately, DP is unsuitable for Hydro Electric Commission (HEC) optimal hydro scheduling problems in multi-reservoir systems because of high computational requirements and the difficulty of incorporating coupling constraints between reservoirs (Piekutowski et al, 1994). Some other approaches utilizing decomposing or layering are also proposed for multi-reservoir systems (Saad et al, 1996;Wakamori et al, 1982), while unit scheduling is still not taken into account for the purpose of dimensionality reduction.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical multi-reservoir optimization modeling for real-world complexity with application to the Three Gorges system

Shoemaker

Qiu

et al. 2015

Environmental Modelling & Software

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a b s t r a c tHigh dimensionality in real-world multi-reservoir systems greatly hinders the application and popularity of evolutionary algorithms, especially for systems with heterogeneous units. An efficient hierarchical optimization framework is presented for search space reduction, determining the best water distributions, not only between cascade reservoirs, but also among different types of hydropower units. The framework is applied to the Three Gorges Project (TGP) system and the results demonstrate that the difficulties of multi-reservoir optimization caused by high dimensionality can be effectively solved by the proposed hierarchical method. For the day studied, power output could be increased by 6.79 GWh using an optimal decision with the same amount of water actually used; while the same amount of power could be generated with 2.59 Â 10 7 m 3 less water compared to the historical policy. The methodology proposed is general in that it can be used for other reservoir systems and other types of heterogeneous unit generators.

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Layered Network Model Approach to Optimal Daily Hydro Scheduling

Cited by 4 publications

References 0 publications

Multi-Objective Optimal Configuration of Reconfigurable Test Platform: A Modified Discrete Particle Swarm Optimization Approach

Multi-Objective Optimal Configuration of Reconfigurable Test Platform: A Modified Discrete Particle Swarm Optimization Approach

Implementation of network flow programming to the hydrothermal coordination in an energy management system

Hierarchical multi-reservoir optimization modeling for real-world complexity with application to the Three Gorges system

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