Considering uncertainty in the optimal energy management of renewable micro-grids including storage devices

Baziar, Aliasghar; Kavousi‐Fard, Abdollah

doi:10.1016/j.renene.2013.03.026

Cited by 225 publications

(102 citation statements)

References 21 publications

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“…Increasing the T above 24 hours makes no practical sense, since weather forecast and demand patterns are usually known for one day in advance. Similar studies have already been performed for renewable microgrids with 24-hour uncertainty in environment variables [24], [25]. Although the impact desalination has on the economy of the overall energy system can be significant, it is not the topic of this paper and will not be discussed here .…”

Section: Introductionmentioning

confidence: 81%

Modeling of optimal energy flows for systems with close integration of sea water desalination and renewable energy sources: Case study for Jordan

Perković

Novosel

Pukšec

et al. 2016

Energy Conversion and Management

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This paper presents a new approach for modelling energy flows in complex energy systems with parallel supply of fresh water and electricity. Such systems consist of renewable energy sources (RES), desalination plant, conventional power plants and the residual brine storage which is used as energy storage. The presented method is treating energy vectors in the system as control variables to provide the optimal solution in terms of the lowest critical excess of electricity production (CEEP) and h ighest possible share of RES in the supply mix. The optimal solution for supplying the demands for fresh water and electricity is always found within the framework of model constraints which are derived from the physical limitations of the system. The presented method enables the optimization of energy flows for a larger period of time. This increases the role of energy storage when higher integration of RES in the supply mix. The method is tested on a hypothetical case of Jordan for different levels of ins talled wind and PV capacities, as well as different sizes of the brine storage. Results show that increasing the optimization horizon from one hour to 24 hours can reduce the CEEP by 80% and allow the increase of RES in the supply mix by more than 5% without violating the CEEP threshold limit of 5%. The activity of the energy (brine) storage is crucial for achieving this goal. * Corresponding author; email: luka.perkovic@fsb.hr; tel. +385 1 6168494 KeywordsOptimal energy flows; renewable energy sources (RES); desalination plant; energy storage; critical excess of electricity production (CEEP) Research highlights a new methodology for optimal management of energy systems is proposed  critical excess of electricity production is reduced by optimizing the energy flows  at the same time, the curtailment from the RES can be decreased Nomenclature

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Section: Introductionmentioning

confidence: 81%

Modeling of optimal energy flows for systems with close integration of sea water desalination and renewable energy sources: Case study for Jordan

Perković

Novosel

Pukšec

et al. 2016

Energy Conversion and Management

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“…The second solution for uncertainty reduction in renewable units including renewable resources is to coordinate other energy resources which are quite expensive, but available and more reliable, such as pump-storage unit, hydro unit, gas turbines, combined cycle power plants, and energy storage batteries [10][11][12][13][14][15][16][17][18][19][20][21]. However, the share of these energy sources should diminish for many reasons [10].…”

Section: Introductionmentioning

confidence: 99%

“…In [17], the optimal biding strategy model in an electricity distributed company is considered in order to make the maximum profit in the day-ahead market. In [18], the modified particle swarm optimization algorithm is used to optimize energy in MG. Moreover, in this study, uncertainty of data is checked using Hong method.…”

Section: Introductionmentioning

confidence: 99%

Scenario-based stochastic optimal operation of wind/PV/FC/CHP/boiler/tidal/energy storage system considering DR programs and uncertainties

et al. 2018

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“…Because of above mentioned reasons, in recent years a great attention has been dedicated to optimal operation problem of micro-grids and it became a research priority among researchers all over the world (Salahi et al 2016;Allali et al 2015;Bahramara et al 2015;Alharbi et al 2015;Elsied et al 2016;Dai et al 2013;Hatziargyriou et al 2007;Kanchev et al 2011;Baziar et al 2013;Chen et al 2011;Peik-Herfeh et al 2013). …”

Section: Introductionmentioning

confidence: 99%

Optimal Operation of Micro-grids Considering the Uncertainties of Demand and Renewable Energy Resources Generation

Jasemi¹,

Adabi²,

Mozafari³

et al. 2016

Int. J. Renew. Energy Dev.

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Nowadays, due to technical and economic reasons, the distributed generation (DG) units are widely connected to the low and medium voltage network and created a new structure called micro-grid. Renewable energies (especially wind and solar) based DGs are one of the most important generations units among DG units. Because of stochastic behavior of these resources, the optimum and safe management and operation of micro-grids has become one of the research priorities for researchers. So, in this study, the optimal operation of a typical micro-grid is investigated in order to maximize the penetration of renewable energy sources with the lowest operation cost with respect to the limitations for the load supply and the distributed generation resources. The understudy micro-grid consists of diesel generator, battery, wind turbines and photovoltaic panels. The objective function comprises of fuel cost, start-up cost, spinning reserve cost, power purchasing cost from the upstream grid and the sales revenue of the power to the upstream grid. In this paper, the uncertainties of demand, wind speed and solar radiation are considered and the optimization will be made by using the GAMS software and mixed integer planning method (MIP).Article History: Received May 21, 2016; Received in revised form July 11, 2016; Accepted October 15, 2016; Available onlineHow to Cite This Article: Jasemi, M., Adabi, F., Mozafari, B., and Salahi, S. (2016) Optimal Operation of Micro-grids Considering the Uncertainties of Demand and Renewable Energy Resources Generation, Int. Journal of Renewable Energy Development, 5(3),233-248.http://dx.doi.org/10.14710/ijred.5.3.233-248

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Considering uncertainty in the optimal energy management of renewable micro-grids including storage devices

Cited by 225 publications

References 21 publications

Modeling of optimal energy flows for systems with close integration of sea water desalination and renewable energy sources: Case study for Jordan

Modeling of optimal energy flows for systems with close integration of sea water desalination and renewable energy sources: Case study for Jordan

Scenario-based stochastic optimal operation of wind/PV/FC/CHP/boiler/tidal/energy storage system considering DR programs and uncertainties

Optimal Operation of Micro-grids Considering the Uncertainties of Demand and Renewable Energy Resources Generation

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