Profit-based O&amp;amp;M strategies for wind power plants

Gallo, Gabriella; Ponta, Linda; Cincotti, Silvano

doi:10.1109/eem.2012.6254699

Cited by 4 publications

(6 citation statements)

References 48 publications

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“…The objective of the optimization model [38] is the combination of system maintenance costs and revenue loss of wind energy, which is mainly limited by the reliability of power generation and maximum load regulation adequacy. The proposed model is important to extend classical scheduling maintenance [39] to include the expected market prices and weather conditions. Faulstich et al [21] examined the effect of failure rates depending on the wind speed on energy production.…”

Section: Reliability (Reli)mentioning

confidence: 99%

“…Improvements to maintenance strategies are being made, such as the proposal of a model that extends the classical programming maintenance [39] to include the expected market prices and weather conditions. Another paper [82] focuses on improving reliabilitycentered maintenance, since it presents challenges that are considered to achieve the optimal maintenance of turbines, reaching conclusions such as the need for improvements to staff training, the use of quantitative methods for decision support in maintenance and an economic model of the organization of maintenance support.…”

Section: Maintenance Strategies (M_stra)mentioning

confidence: 99%

“…Gallo et al [39] proposed a model that extends classical maintenance scheduling to include forecasted market prices and weather conditions, and this proposed maintenance schedule optimization occurs at a discounted cumulative profit of a wind generation portfolio in a fixed-time horizon.…”

Section: Maintenance Strategies (M_stra)mentioning

confidence: 99%

“…There are proposals for programming models that extend classical maintenance [39] to include the expected market prices and weather conditions. Other research studies show [107] the benefits of opportunistic maintenance to significantly reduce maintenance costs.…”

Section: Maintenance and Life Cycle Cost (M_cost)mentioning

confidence: 99%

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New Tendencies in Wind Energy Operation and Maintenance

et al. 2021

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Both the reduction in operating and maintenance (O&M) costs and improved reliability have become top priorities in wind turbine maintenance strategies. O&M costs typically account for 20% to 25% of the total levelized cost of electricity (LCOE) of current wind power systems. This paper provides a general review of the state of the art of research conducted on wind farm maintenance in recent years. It shows the new methods and techniques, focusing on trends and future challenges. In addition to this, this work includes a review of the following items: (i) operation and maintenance, (ii) failure rate, (iii) reliability, (iv) condition monitoring, (v) maintenance strategies, (vi) maintenance and life cycle and (vii) maintenance optimization As for offshore wind turbines, it is crucial to limit the maximum faults, since the maintenance of these wind farms is more complex both technically and logistically. Research into wind farm maintenance increased by 87% between 2007 and 2019, with more than 38,000 papers (Scopus) including “wind energy” as the main topic and some keywords related to O&M costs. The LCOE in onshore wind projects has decreased by 45%, while in offshore projects it has decreased by 28%. The O&M costs of onshore wind projects fell 52%, while in the case of offshore projects, they have declined 45%. Thus, the results obtained in this paper suggest that there is a change in research on wind farm operation and maintenance, as in recent years, scientific interest in failure has been increasing, while interest in the various techniques of wind farm maintenance and operation has been decreasing.

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Section: Reliability (Reli)mentioning

confidence: 99%

Section: Maintenance Strategies (M_stra)mentioning

confidence: 99%

Section: Maintenance Strategies (M_stra)mentioning

confidence: 99%

Section: Maintenance and Life Cycle Cost (M_cost)mentioning

confidence: 99%

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New Tendencies in Wind Energy Operation and Maintenance

et al. 2021

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“…So far, the literature did not take into account market and weather conditions in the maintenance strategy, if we exclude a preliminary conference paper [63]. Nevertheless the price of energy, the wind speed and temperature play an important role in the O&M. It is worth noting that the maintenance tasks requiring an outer crane can be executed in calm winds only.…”

Section: Introductionmentioning

confidence: 99%

Encompassing Electricity Market Predictions and Weather Forecasts in Power Plan O&M Strategies

Ponta¹,

Oneto²,

Anguita³

et al. 2017

Preprint

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Abstract:The paper deals with the problem of choosing the best O&M strategy for wind power plants. Current maintenance theory considers just production opportunities and minimizes the maintenance costs, but with the liberalization of the electricity market also the electricity price has become an important variable to take into account in the O&M scheduling. Another important variables that is often neglected by the existing maintenance theory is the weather condition. This paper proposes a new strategy that takes into account the electricity price and weather conditions, improves the expected profit of the systems, and reduce the overall maintenance and logistic costs. The maintenance schedule is formalized as an optimization problem where the discounted cumulative profit of a wind generation portfolio in a fixed-time horizon (e.g. two years ahead), subject to the technologically-derived maintenance time constraints is optimized. Both the theoretical and computational aspects of the proposed O&M strategy are discussed. Results show that taking into account market and weather opportunities in the design of the maintenance strategy, it is possible to achieve a more complete scheduling for a given set of wind power plants.

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An Integrated Agent-Based and Production Cost Modeling Framework for Renewable Energy Studies

Gallo

2016

2016 49th Hawaii International Conference on System Sciences (HICSS)

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The agent-based framework for renewable energy studies (ARES) is an integrated approach that adds an agent-based model of industry actors to PLEXOS and combines the strengths of the two to overcome their individual shortcomings. It can examine existing and novel wholesale electricity markets under high penetrations of renewables. ARES is demonstrated by studying how increasing levels of wind will impact the operations and the exercise of market power of generation companies that exploit an economic withholding strategy. The analysis is carried out on a test system that represents the Electric Reliability Council of Texas energy-only market in the year 2020. The results more realistically reproduce the operations of an energy market under different and increasing penetrations of wind, and ARES can be extended to address pressing issues in current and future wholesale electricity markets.

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Profit-based O&M strategies for wind power plants

Cited by 4 publications

References 48 publications

New Tendencies in Wind Energy Operation and Maintenance

New Tendencies in Wind Energy Operation and Maintenance

Encompassing Electricity Market Predictions and Weather Forecasts in Power Plan O&M Strategies

An Integrated Agent-Based and Production Cost Modeling Framework for Renewable Energy Studies

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Profit-based O&amp;M strategies for wind power plants

Cited by 4 publications

References 48 publications

New Tendencies in Wind Energy Operation and Maintenance

New Tendencies in Wind Energy Operation and Maintenance

Encompassing Electricity Market Predictions and Weather Forecasts in Power Plan O&amp;M Strategies

An Integrated Agent-Based and Production Cost Modeling Framework for Renewable Energy Studies

Contact Info

Product

Resources

About

Profit-based O&M strategies for wind power plants

Encompassing Electricity Market Predictions and Weather Forecasts in Power Plan O&M Strategies