Pre-Dispatch of Load in Thermoelectric Power Plants Considering Maintenance Management Using Fuzzy Logic

Fonseca, Milton; Bezerra, Ubiratan Holanda; Brito, Jorge de Almeida; Leite, Jandecy Cabral; Nascimento, Manoel Henrique Reis

doi:10.1109/access.2018.2854612

Cited by 5 publications

(5 citation statements)

References 17 publications

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“…In the first stage, the scheduling of conventional generators (CGs) through a day head schedule and second stage performs the ED of CGs, ESS, and energy trading through the real‐time scheduling. Technical aspects of thermoelectric power plants in different aspects of the power plant are analysed in Reference 70 with the help of computational intelligence technique. The statistical analysis had done when the engine is failed, and this phenomenon is considered as a pre‐dispatch condition, and further to increase the reliability of the engine and power supply with the help of management tools to reduce the annual cost of maintenance is focused.…”

Section: Optimal Power Dispatch Of Microgridsmentioning

confidence: 99%

“…A new ED framework with scenario‐based had implemented in Reference 74 by removing samples from a finite uncertainty set such that to improve the operating performance of ED and the results have been carried out on IEEE 3 bus, 14 bus and 118 bus systems. A real‐time day head model is implemented in Reference 70 scheduling with renewable sources and reserve capacity. An iterative algorithm bi‐level is implemented on both demand and generation side in Reference 75 to solve the uncertainty problem.…”

Section: Optimal Power Dispatch Of Microgridsmentioning

confidence: 99%

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Recent trends in power management strategies for optimal operation of distributed energy resources in microgrids: A comprehensive review

et al. 2020

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The current era in sustainable development is focused on the rapid integration of renewable energy sources driven by a wide range of socioeconomic objectives. Due to the inherent property of time-varying weather conditions, the intermittent sources, that is, Solar PV and Wind Energy, are considered as variable energy resources. The uncertainty and variability problem of these sources has brought many complications to distributed network operators to operate and control the complex or multi-microgrids with limited fast-ramping resources in order to maintain the power system flexibility. It led many researchers to find an alternative strategy since the conventional approaches are no longer adequate to handle the economic implications of operational decision making. At first, the brief review of various deterministic and probabilistic approaches, stochastic programming and robust optimisation strategies to address the uncertainty of variable energy resources are discussed. Furthermore, in the energy management point of view, the optimal scheduling problem of distributed sources of the microgrid is considered, and a brief review of optimisation models, advanced control strategies and demand response strategies to maximise economic benefits of microgrids are also elaborately presented. Finally, the multiagent-based distributed and decentralised control strategies for seamless integration of distributed generator units are reviewed under various configurations of the power grid along with communication network topologies.

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Section: Optimal Power Dispatch Of Microgridsmentioning

confidence: 99%

Section: Optimal Power Dispatch Of Microgridsmentioning

confidence: 99%

Recent trends in power management strategies for optimal operation of distributed energy resources in microgrids: A comprehensive review

et al. 2020

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“…For this analysis the so-called distributed control systems (DCS) are often used. Nevertheless, the obsolescence of this equipment increases the risks of unavailability of the generating units, mainly in thermoelectric plants, where mechanical wear is elevated, due to the high temperatures and the chemical agents used for the production of electric energy [11].…”

Section: Maintenance Systems and Their Application In Thermoelectric mentioning

confidence: 99%

Maintenance Management with Application of Computational Intelligence Generating a Decision Support System for the Load Dispatch in Power Plants

Fonseca

Sanches²,

Leite³

et al. 2020

Maintenance Management

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The development of a computational tool to support the decision of load dispatch according to the operational conditions of motors and generators of power plants is proposed, which are classified in relation to the probabilities of faults by a fuzzy system developed in this text, from indicators obtained from the analysis of lubricating oil, vibration analysis, and thermography of power generation equipment. The basis for the study is based on the principle of operation and operational conditions of the equipment to be dispatched for generation in a power plant, in addition to its particularities as specific consumption and the polluting emission for each equipment. In this way, this work aims not only to provide the tools to monitor these equipment but also, based on the management reports of vibration, temperature, and oil analysis, take corrective actions to maintain the necessary reliability and achieve the quality of the service through a preclearance procedure that takes into account the operating conditions of the equipment, obtaining performance indicators of the plan.

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“…If the transformer fails, the financial loss caused by cutting the load can be calculated by (12). (14) where S N is the capacity of the transformer; cosϕ is the average power factor, and cosϕ = 0.9 in the paper;l is the transformer load rate; c 11 is the cost differential between power generating and power supply, and c 11 = 0.2 RMB/MWh in the paper; t year is the hours in a year, and t year = 8760h/year; d 11 is the contribution rate of the transformer in the total power supply chain, and d 11 = 0.5 in the paper; θ is the risk value of per electricity unit, the recommended value is θ 0 ; 10RMB/MWh in the paper [29]; e 11 is the blackouts probability caused by transformer failures; β 1 is the corrected factor of system risk. It includes the importance of the substation β 11 , the importance of the transformer load β 12 .…”

Section: Maintenance Strategy Selection Based On Reliability and Cost Analysis Of Transformers A Operation Risk Evaluation Model Of Transmentioning

confidence: 99%

“…However, the accomplishments of these DGA methods are often limited in their failure classifications of the fault condition. In fact, the condition of power transformers is often somewhere between normal condition and failure condition [13], [14].…”

Section: Introductionmentioning

confidence: 99%

A Novel Maintenance Decision Making Model of Power Transformers Based on Reliability and Economy Assessment

Dong¹,

Zheng

Zhang

et al. 2019

IEEE Access

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The present ''condition-based maintenance decision making'' of power transformers will cause large financial losses to electric enterprises, because of not having taken reliability and economy into consideration. To solve this problem, a maintenance decision-making model with the consideration of reliability and economy was established to choose the best maintenance strategy for oil-filled transformers. With the corrected parameters of operating environment and maintenance records, a condition assessment model including DGA test, oil test, and the electrical test was proposed to decide the comprehensive health index of transformers. After establishing the relationship between the fault rate and the comprehensive health index, a reliability evaluation model was formed, which can simulate the impact of different maintenance types. Taking the reliability and economy operation of transformers into consideration, a particle swarm optimization method was developed to solve the optimization model and select the best maintenance strategy according to the current condition of transformers. Two cases were studied and the results demonstrate that the proposed model offers an improved maintenance strategy.

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Pre-Dispatch of Load in Thermoelectric Power Plants Considering Maintenance Management Using Fuzzy Logic

Cited by 5 publications

References 17 publications

Recent trends in power management strategies for optimal operation of distributed energy resources in microgrids: A comprehensive review

Recent trends in power management strategies for optimal operation of distributed energy resources in microgrids: A comprehensive review

Maintenance Management with Application of Computational Intelligence Generating a Decision Support System for the Load Dispatch in Power Plants

A Novel Maintenance Decision Making Model of Power Transformers Based on Reliability and Economy Assessment

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