Study and modeling on maintenance strategy for a thermal power plant in the new market environment

Wei, Shusheng; Xu, Fei; Min, Yong

doi:10.1109/drpt.2004.1338493

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…The network architecture of SDN network combined with IoSB is shown in Figure 1. The whole architecture is divided into six layers, which are IoSB architecture, SDN wireless nodes, SDN wireless access infrastructure, SDN data plane, SDN control plane and SDN application plane [4].…”

Section: Sdn-based Network Architecturementioning

confidence: 99%

Research and exploration of simulation routing algorithm based on computer deep learning fuzzy logic

Ma,

Tang

2023

Second International Conference on Electronic Information Technology (EIT 2023)

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With the concept of "smart city", intelligent transportation system has become particularly important in the city. Bicycle sharing system, as a part of intelligent transportation system, is developing extremely fast nowadays. However, the topology of the current bike-sharing network is relatively simple and the transmitted data is single, and there is no unified scheme for sensing multi-source big data. In this paper, a network structure applicable to bicycle sharing is proposed and studied based on it. By studying the bike-sharing system, we analyze it in different application scenarios and explore its potential value. Therefore, this paper presents the future application scenarios of shared bikes under different situations. In this paper, a multi-hop routing algorithm based on genetic algorithm for split-cluster is proposed. For the characteristics of shared bike mobility, the algorithm adds a random speed factor in cluster head election and uses genetic algorithm for optimal path selection during data forwarding. Comparing the genetic algorithm-based cluster routing algorithm with the classical LEACH algorithm and CECA algorithm with under the same conditions, it is found that the algorithm proposed in this paper can slow down the node death process and thus improve the network performance.

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Section: Sdn-based Network Architecturementioning

confidence: 99%

Research and exploration of simulation routing algorithm based on computer deep learning fuzzy logic

Ma,

Tang

2023

Second International Conference on Electronic Information Technology (EIT 2023)

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“…It can be seen that both time and condition based preventive maintenance are required to be adopted appropriately in the form of a composite maintenance package for LEPs. Wei et al [10] presented a maintenance strategy which is a combination of both routine maintenance as well as daily predictive maintenance and repairs. Furthermore, the need for a systemic approach to maintenance has been favoured by researchers in the recent past [11,12] .…”

Section: Introductionmentioning

confidence: 99%

A systemic approach to integrated E-maintenance of large engineering plants

Verma

Srividya

Ramesh

2010

Int. J. Autom. Comput.

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Large engineering plants (LEPs) have certain unique features that necessitate a maintenance strategy that is a combination of both time and condition based maintenance. Although this requirement is appreciated to varying degrees by asset owners, applied research leading to a systematic development of such a maintenance strategy is the need of the day. Such a strategy should also adopt a wholesome "systemic" approach so that the realization of the overall objectives of maintenance is maximized. E-maintenance has several potential benefits for large engineering plants. In this paper, a three pronged strategy is suggested for the successful implementation of e-maintenance for LEPs. Firstly, an integrated condition and time based maintenance framework is proposed for LEPs. Secondly, reference is drawn to models for condition and time based maintenance at systemic levels. As a part of the ab initio development of a condition monitoring system for a LEP, one of the characteristics of the condition monitoring system, namely, predictability, is discussed in detail as a sample for a systemic study. Thirdly, emphasis is laid on the information and expertise available in the domain of plant design, operation and maintenance and the same is tapped for incorporation in maintenance decision making.

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“…Furthermore, to achieve the best possible optimal solution and the largest benefit for thermal power plants and power grid, the model should be simulated as close to reality as possible to suit the practical needs of power dispatch centers, especially in China [19][20][21]. However, according to our retrieval results, there are few studies on MOCTU, especially on the development of simulation models for MOCTU that meet the demands of practical engineering [22,23]. In this paper, a medium-term thermal UC optimization model with equal capacity utilization hours for all thermal power plants is established.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Optimization of the Medium-Term Units Commitment of Thermal Power

Liao

et al. 2015

Energies

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Coal-fired thermal power plants, which represent the largest proportion of China's electric power system, are very sluggish in responding to power system load demands. Thus, a reasonable and feasible scheme for the medium-term optimal commitment of thermal units (MOCTU) can ensure that the generation process runs smoothly and minimizes the start-up and shut-down times of thermal units. In this paper, based on the real-world and practical demands of power dispatch centers in China, a flexible mathematical model for MOCTU that uses equal utilization hours for the installed capacity of all thermal power plants as the optimization goal and that considers the award hours for MOCTU is developed. MOCTU is a unit commitment (UC) problem with characteristics of large-scale, high dimensions and nonlinearity. For optimization, an improved progressive optimality algorithm (IPOA) offering the advantages of POA is adopted to overcome the drawback of POA of easily falling into the local optima. In the optimization process, strategies of system operating capacity equalization and single station operating peak combination are introduced to move the target solution from the boundary constraints along the target isopleths into the feasible solution's interior to guarantee the global optima. The results of a case study consisting of nine thermal power plants with 27 units show that the presented algorithm can obtain an optimal solution and is competent in solving the MOCTU with high efficiency and accuracy as well as that the developed simulation model can be applied to practical engineering needs.

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Study and modeling on maintenance strategy for a thermal power plant in the new market environment

Cited by 4 publications

References 9 publications

Research and exploration of simulation routing algorithm based on computer deep learning fuzzy logic

Research and exploration of simulation routing algorithm based on computer deep learning fuzzy logic

A systemic approach to integrated E-maintenance of large engineering plants

Modeling and Optimization of the Medium-Term Units Commitment of Thermal Power

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