A new self-scheduling strategy for integrated operation of wind and pumped-storage power plants in power markets

Karimi, Alì; Daraeepour, Ali; Monsef, Hassan

doi:10.1016/j.apenergy.2011.06.043

Cited by 122 publications

(41 citation statements)

References 26 publications

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“…This method exploits ANN to predict wind power in short-term [51]. So far, several methods have been presented on the basis of Weibull distribution function to determine the capacity of and also product of P N and CF under different values of tower height and wind speed.…”

Section: Wind Prediction Proceduresmentioning

confidence: 99%

“…The need for exploiting PHS unit would be obvious through comparing the local networks demands to corresponding annual wind farm efficiency [81]. A novel strategy is proposed in [51] for self-scheduling (SS) of integrated wind farm and PHS unit. In the suggested strategy, a Generation Company with both wind farm and PHS unit is responsible for integrated SS of both units with respect to the wind power uncertainties.…”

Section: -Wind With Pumped Hydro Storagementioning

confidence: 99%

See 1 more Smart Citation

On the management of wind power intermittency

Rahimi

Rabiee

Aghaei

et al. 2013

Renewable and Sustainable Energy Reviews

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Nowadays, the world is encountering severe challenges in the energy generation sector. Environmental issues like climate change, global warming and Green House Gases (GHGs) and also social issues like dramatic increase in global population and increasing energy demand are the main causes of global concerns about energy resource management. In this regard, Renewable Energy Sources (RESs) are the suitable substitution to replace the conventional generating units that emit GHGs due to the use of fossil fuels. Among all RESs, wind energy seems to be promising for generating emission-free electrical energy. However, it is naturally unpredictable due to its intermittency which leads to s ome technical problems such as generation imbalance as well as optimal reserve allocation. This paper investigates the solutions to compensate wind intermittency through introducing various technolo gies such as Pumped-Hydro Storage (PH S) units, Plug-in Hybrid Electric Vehicles (PHEVs), solar energy and other electric storages like batteries. Abstract-Nowadays, the world is encountering severe challenges in the energy generation sector. Environmental issues like climate change, global warming and Green House Gases

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Section: Wind Prediction Proceduresmentioning

confidence: 99%

Section: -Wind With Pumped Hydro Storagementioning

confidence: 99%

On the management of wind power intermittency

Rahimi

Rabiee

Aghaei

et al. 2013

Renewable and Sustainable Energy Reviews

View full text Add to dashboard Cite

show abstract

“…The same methodology has been implemented in [19] with detailed representation of high voltage DC transmission system. The aim of [20] is to prove that applying a quantified method while dealing with intermittent resources increases the reliability [21] for modeling the uncertainty of the ST intermittent resources generation prediction. The model presented in this paper completes the coordination procedure of [6] by introducing an appropriate approach for GENCOs to achieve the determinate number of outage plans for the ST period.…”

Section: Literature Review and Contributionmentioning

confidence: 99%

Stochastic short-term maintenance scheduling of GENCOs in an oligopolistic electricity market

et al. 2013

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a b s t r a c tIn the proposed model, the independent system operator (ISO) provides the opportunity for maintenance outage rescheduling of generating units before each short-term (ST) time interval. Long-term (LT) scheduling for 1 or 2 years in advance is essential for the ISO and the generation companies (GENCOs) to decide their LT strategies; however, it is not possible to be exactly followed and requires slight adjustments. The Cournot-Nash equilibrium is used to characterize the decision-making procedure of an individual GENCO for ST intervals considering the effective coordination with LT plans. Random inputs, such as parameters of the demand function of loads, hourly demand during the following ST time interval and the expected generation pattern of the rivals, are included as scenarios in the stochastic mixed integer program defined to model the payoff-maximizing objective of a GENCO. Scenario reduction algorithms are used to deal with the computational burden. Two reliability test systems were chosen to illustrate the effectiveness of the proposed model for the ST decision-making process for future planned outages from the point of view of a GENCO.

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“…[9] applied Monte Carlo simulation and mixed-integer linear programming to solve the unit commitment problem for a wind-based energy system. In another wind-based system study, neural networks were used to maximize the daily revenue [10].…”

Section: Literature Reviewmentioning

confidence: 99%

Scheduling of a Renewable Hybrid Tri-generation

Ercan¹,

Kayakutlu²

2017

JOCET

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Abstract-Hybrid energy resources are generally accepted with the concern of global pollution and warming. Optimization studies on the detailed scheduling of hybrid energy usage are trying to find solutions for complex problems including uncertainty and lots of data. This paper proposes a stochastic model for detailed scheduling of a tri-generation system using wind and solar sources with thermal collectors. The proposed hourly scheduling will allow balancing the production and consumption as well as giving more realistic commitments the day ahead. The model is currently working with the simulated data and the case application has started.

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A new self-scheduling strategy for integrated operation of wind and pumped-storage power plants in power markets

Cited by 122 publications

References 26 publications

On the management of wind power intermittency

On the management of wind power intermittency

Stochastic short-term maintenance scheduling of GENCOs in an oligopolistic electricity market

Scheduling of a Renewable Hybrid Tri-generation

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