Photovoltaic Output Power Fluctuations Smoothing by Selecting Optimal Capacity of Battery for a Photovoltaic-Diesel Hybrid System

Datta, Manoj; Senjyu, Tomonobu; Yona, Atsushi; Funabashi, Toshihisa

doi:10.1080/15325008.2010.536809

Cited by 44 publications

(18 citation statements)

References 23 publications

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“…Kumar and Ikkurti dealt with design, simulation, and experimental validation of a power electronic interface between a lead acid battery bank, an ultracapacitor module, and a permanent magnet direct current traction motor [10]. Datta et al [11] explained a battery-based control method to reduce photovoltaic output power fluctuations that reduce the frequency deviations of the power system; a local search algorithm was provided with this battery control method to search the optimal capacity of the battery required for smoothing the photovoltaic output power fluctuations. Majumder et al [12] proposed a new control method for battery storage to maintain an acceptable voltage profile in autonomous microgrids; their method was based on an advanced control technique, where the reference power is determined based on the voltage drop profile at the battery bus.…”

Section: Introductionmentioning

confidence: 99%

State of Charge Prediction for Lithium-ion Batteries

Fan

2014

Electric Power Components and Systems

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Section: Introductionmentioning

confidence: 99%

State of Charge Prediction for Lithium-ion Batteries

Fan

2014

Electric Power Components and Systems

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“…One of the most-used algorithms and which provides the best results is Rainflow-counting [37]. Initially developed to calculate mechanical fatigue [36], this method has also proved to be equally valid for calculating the ESS ageing due to cycling [38][39][40][41][42]. In this way, any complex charging and discharging series can be broken down into a series of simple sub-cycles with a given DOD.…”

Section: Ramp-rate Moving-average Step-controlmentioning

confidence: 99%

Control Strategies to Smooth Short-Term Power Fluctuations in Large Photovoltaic Plants Using Battery Storage Systems

et al. 2014

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Abstract:The variations in irradiance produced by changes in cloud cover can cause rapid fluctuations in the power generated by large photovoltaic (PV) plants. As the PV power share in the grid increases, such fluctuations may adversely affect power quality and reliability. Thus, energy storage systems (ESS) are necessary in order to smooth power fluctuations below the maximum allowable. This article first proposes a new control strategy (step-control), to improve the results in relation to two state-of-the-art strategies, ramp-rate control and moving average. It also presents a method to quantify the storage capacity requirements according to the three different smoothing strategies and for different PV plant sizes. Finally, simulations shows that, although the moving-average (MA) strategy requires the smallest capacity, it presents more losses (2-3 times more) and produces a much higher number of cycles over the ESS (around 10 times more), making it unsuitable with storage technologies as lithium-ion. The step-control shown as a better option in scenery with exigent ramp restrictions (around 2%/min) and distributed generation against the ramp-rate control in all ESS key aspects: 20% less of capacity, up to 30% less of losses and a 40% less of ageing. All the simulations were based on real PV production data, taken every 5 s in the course of one year (2012) from a number of systems with power outputs ranging from 550 kW to 40 MW. OPEN ACCESSEnergies 2014, 7 6594

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“…Meanwhile, other researchers (Datta et al [19], Ahmed et al [20], Wang et al [21], Abbassi and Chebbi [22], Makarov et al [8], and Cao et al [5]) calculated the configuration of ESSs based on time-domain or frequency-domain filtering methods to stabilize fluctuation in the regional tie-line. Generally, the ideal low-pass filtering method based on discrete Fourier transform (DFT) is recognized as an efficient way to filter power at a high frequency, which finally smooths the transmission power in the tie-line.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Fast Configuration of Energy Storage Capacity in Stand-Alone and Grid-Connected Wind Energy Systems

et al. 2016

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Abstract:In this paper, a novel method is proposed and applied to quickly calculate the capacity of energy storage for stand-alone and grid-connected wind energy systems, according to the discrete Fourier transform theory. Based on practical wind resource data and power data, which are derived from the American Wind Energy Technology Center and HOMER software separately, the energy storage capacity of a stand-alone wind energy system is investigated and calculated. Moreover, by applying the practical wind power data from a wind farm in Fujian Province, the energy storage capacity for a grid-connected wind system is discussed in this paper. This method can also be applied to determine the storage capacity of a stand-alone solar energy system with practical photovoltaic power data.

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Photovoltaic Output Power Fluctuations Smoothing by Selecting Optimal Capacity of Battery for a Photovoltaic-Diesel Hybrid System

Cited by 44 publications

References 23 publications

State of Charge Prediction for Lithium-ion Batteries

State of Charge Prediction for Lithium-ion Batteries

Control Strategies to Smooth Short-Term Power Fluctuations in Large Photovoltaic Plants Using Battery Storage Systems

A Novel Method for Fast Configuration of Energy Storage Capacity in Stand-Alone and Grid-Connected Wind Energy Systems

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