Optimum sizing of wind-battery systems incorporating resource uncertainty

Roy, Anindita; Kedare, Shireesh B.; Bandyopadhyay, Santanu

doi:10.1016/j.apenergy.2010.03.027

Cited by 121 publications

(59 citation statements)

References 46 publications

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“…There are also papers focused on determination of the optimal size of ESS in parallel with optimal operation scheduling of generation units [7,8]. Some papers have proposed methods to optimize the size of ESS for different ESS working conditions [9][10][11][12][13][14][15][16][17]. In these papers, the optimal size of ESS was determined by using a per unit plant cost of a particular time frame, taking the economic benefits as the basic consideration.…”

Section: Open Accessmentioning

confidence: 99%

An Energy Storage System Sizing Method for Wind Power Integration

Wang

Mao

et al. 2013

Energies

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Combining an energy storage system (ESS) with a wind farm is an effective way to increase the penetration rate of wind power. ESS sizing is an important part in wind farm planning nowadays. In this paper, a basic method for determining the optimal capacity of an ESS integrated with a wind power generator to meet the requirements of grid integration is presented. With the proposed method, the necessary ESS capacity which can provide the best benefits between the regulation effects and energy storage size was calculated. The segmentation method and automatic segmentation method are proposed to improve the performance of the basic method. Further work on expanding the method to determine the necessary capacity of ESS for real-time control is studied. The time window method is used to enable the proposed method available under all working conditions. The simulation results verify the effectiveness of the proposed method.

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Section: Open Accessmentioning

confidence: 99%

An Energy Storage System Sizing Method for Wind Power Integration

Wang

Mao

et al. 2013

Energies

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“…In a recent study Hocaoğlu et al searched the effect of model generated solar radiation data in wind-PV energy system sizing studies [8]. In a different study Roy et al incorporated resource uncertainty in wind-PV system sizing [9]. On the other hand in another study Roy et al applied design space methodology for optimum sizing of wind-battery systems [10].…”

Section: Introductionmentioning

confidence: 99%

A Review of Wind - PV Sizing Algorithms and a Case Study

Hocaoğlu¹

2012

JESTR

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“…The output power of PV systems differs from the power generated by conventional sources due to the high uncertainty of PV power output, and the availability associated with PV system components [2][3][4] and their relative configurations. Electric power utilities and customers are therefore The LOLE can be defined as the expected period of time during which the system load exceeds the available generating capacity.…”

Section: Introductionmentioning

confidence: 99%

“…The CC is another important parameter in capacity value evaluation and has been applied extensively to assess the contribution of a power generating source to meet the load carrying capability of the system at an acceptable risk level. The CC of the PV system is obtained using Equation (3).…”

Section: Introductionmentioning

confidence: 99%

Development of Probabilistic Reliability Models of Photovoltaic System Topologies for System Adequacy Evaluation

Alferidi

Karki

2017

Applied Sciences

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Abstract:The contribution of solar power in electric power systems has been increasing rapidly due to its environmentally friendly nature. Photovoltaic (PV) systems contain solar cell panels, power electronic converters, high power switching and often transformers. These components collectively play an important role in shaping the reliability of PV systems. Moreover, the power output of PV systems is variable, so it cannot be controlled as easily as conventional generation due to the unpredictable nature of weather conditions. Therefore, solar power has a different influence on generating system reliability compared to conventional power sources. Recently, different PV system designs have been constructed to maximize the output power of PV systems. These different designs are commonly adopted based on the scale of a PV system. Large-scale grid-connected PV systems are generally connected in a centralized or a string structure. Central and string PV schemes are different in terms of connecting the inverter to PV arrays. Micro-inverter systems are recognized as a third PV system topology. It is therefore important to evaluate the reliability contribution of PV systems under these topologies. This work utilizes a probabilistic technique to develop a power output model for a PV generation system. A reliability model is then developed for a PV integrated power system in order to assess the reliability and energy contribution of the solar system to meet overall system demand. The developed model is applied to a small isolated power unit to evaluate system adequacy and capacity level of a PV system considering the three topologies.Keywords: capacity outage probability table (COPT); loss of load expectation (LOLE); loss of energy expectation (LOEE); capacity credit (CC); effective load carrying capability (ELCC)

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Optimum sizing of wind-battery systems incorporating resource uncertainty

Cited by 121 publications

References 46 publications

An Energy Storage System Sizing Method for Wind Power Integration

An Energy Storage System Sizing Method for Wind Power Integration

A Review of Wind - PV Sizing Algorithms and a Case Study

Development of Probabilistic Reliability Models of Photovoltaic System Topologies for System Adequacy Evaluation

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