Quantification of Storage Necessary to Firm Up Wind Generation

Sulaeman, Samer; Tian, Yuting; Benidris, Mohammed; Mitra, Joydeep

doi:10.1109/tia.2017.2685362

Cited by 50 publications

(16 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Six of the articles developed approaches for optimizing the locations or sizes of certain components in HL2. In [30,32] the authors focused on setting energy storage systems in the presence of wind power generation. A method for the allocation of available transfer capability was proposed in [113].…”

Section: Planning and Optimization Studiesmentioning

confidence: 99%

“…Generation. [30] Proposed a method to identify the optimal sizes of the energy storage system in order to mitigate the negative impact of penetrating wind energy into power systems. The method takes into consideration failures of Wind Turbine Generators, the wind power uncertainty, wind speed temporal resolution, and correlation with the load.…”

Section: Quantification Of Storage Necessary To Firm Up Windmentioning

confidence: 99%

“…This systematic literature review (SLR) examines articles relevant to HL2, in which the reliability of composite generation and transmission systems is studied. The literature has contributed to reliability studies on composite power systems by proposing new models [22,23], improving computation efficiency [19,[24][25][26], improving accuracy [4,27,28], optimization [15,[29][30][31], and differentiation of alternatives [32,33]. The reliability of composite generation and transmission systems plays a crucial role in system evaluation.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Systematic Review of Reliability Studies on Composite Power Systems: A Coherent Taxonomy Motivations, Open Challenges, Recommendations, and New Research Directions

et al. 2018

View full text Add to dashboard Cite

Power systems has been subjected to significant upgrades in terms of structure and capacity. Reliability evaluation of composite power systems has surfaced as an essential step in operation and planning stages of the modern power system. It is an effective tool to investigate the ability of power systems to supply customers with reliable power service. The purpose of this review is to enhance the knowledge of reliability studies conducted on composite power systems by providing a critical and systematic review. This work investigates peer-reviewed articles published between 2007 and 2017 in three reliable databases. The findings reveal that the reliability of composite power systems has received considerable attention over the last few years. Secondly, investigation studies demonstrated a crucial role in verifying the impact of adopting new technologies. Third, studies on this topic have been intensively conducted in Asia, which highlights the promising sectors in these regions. However, researchers have generally focused on developing several aspects (e.g., evaluation speed and wind power integration) at the expense of others (e.g., realistic studies and other renewable energy resources). The lack of practical applications is evident in the surveyed publications. These findings imply a potential incoordination between the needs of the real applications and researchers’ tendencies. Future reliability evaluation scholars are advised to consider the findings of this systematic review including concentrating on insufficiently covered topics and enhance the coordination among the efforts devoted in this area.

show abstract

Section: Planning and Optimization Studiesmentioning

confidence: 99%

Section: Quantification Of Storage Necessary To Firm Up Windmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Systematic Review of Reliability Studies on Composite Power Systems: A Coherent Taxonomy Motivations, Open Challenges, Recommendations, and New Research Directions

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The authors linked a Monte Carlo Simulation (MCS) with the power system and developed an evaluation function to validate the significance of ESS in terms of reliability. MCS surpasses the stochastic performance of wind power and power failure of wind turbine generator in estimating the reliability indicate and calculating the sizes of BESS [82]. The maximum usage of the wind generation increases the system reliability and it is possible only with the usage of the BESS.…”

Section: Battery Energy Storage System (Bess)mentioning

confidence: 99%

Intermittent Smoothing Approaches for Wind Power Output: A Review

Jabir

Illias

Raza³

et al. 2017

Energies

View full text Add to dashboard Cite

Abstract:Wind energy is one of the most common types of renewable energy resource. Due to its sustainability and environmental benefits, it is an emerging source for electric power generation. Rapid and random changes of wind speed makes it an irregular and inconsistent power source when connected to the grid, causing different technical problems in protection, power quality and generation dispatch control. Due to these problems, effective intermittent smoothing approaches for wind power output are crucially needed to minimize such problems. This paper reviews various intermittent smoothing approaches used in smoothing the output power fluctuations caused by wind energy. Problems associated with the inclusion of wind energy resources to grid are also briefly reviewed. From this review, it has been found that battery energy storage system is the most suitable and effective smoothing approach, provided that an effective control strategy is available for optimal utilization of battery energy system. This paper further demonstrates different control strategies built for battery energy storage system to obtain the smooth output wind power.

show abstract

“…Wind farm reliability is a subject of interest to industry and academia [1][2][3][4]. The availability of wind as a resource alongside the reliability of wind turbine generators may significantly affect power system reliability [5][6][7][8][9][10][11][12]. As a general concept, wind power diversification means that different wind farms can complement each other, leading to a smoother global power output [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Impact Evaluation of Wind Power Geographic Dispersion on Future Operating Reserve Needs

et al. 2018

View full text Add to dashboard Cite

This paper evaluates the potential of diverse wind power patterns to balance the global power output of wind farms using the concept of operating reserve assessment. To achieve this, operating reserve assessment models are utilized to evaluate bulk generation systems under several conditions of wind power geographic distribution. Different wind behavior patterns and wind power penetration levels are tested using a modified configuration of the Institute of Electrical and Electronics Engineers Reliability Test System 96 (IEEE RTS-96). The results highlight that on a large country scale system with different wind characteristics, the diversification of wind behavior might be conducive to a compensation of wind power fluctuations, which may significantly decrease the need for system operating reserves. This effect is verified using probability distribution functions of reserve needs estimated by sequential Monte Carlo simulations (SMCS), such that useful information regarding generation capacity flexibility is drawn from the evaluations.

show abstract

Quantification of Storage Necessary to Firm Up Wind Generation

Cited by 50 publications

References 30 publications

A Systematic Review of Reliability Studies on Composite Power Systems: A Coherent Taxonomy Motivations, Open Challenges, Recommendations, and New Research Directions

A Systematic Review of Reliability Studies on Composite Power Systems: A Coherent Taxonomy Motivations, Open Challenges, Recommendations, and New Research Directions

Intermittent Smoothing Approaches for Wind Power Output: A Review

Impact Evaluation of Wind Power Geographic Dispersion on Future Operating Reserve Needs

Contact Info

Product

Resources

About