Optimal capacity selection of hybrid energy storage systems for suppressing PV output fluctuation

Watanabe, Ritsuya; Ito, Yuki; Hida, Yusuke; Yokoyama, Ryuichi; Iba, Kenji; Tsukada, Tatsuya

doi:10.1109/isgt-asia.2012.6303135

Cited by 11 publications

(4 citation statements)

References 10 publications

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“…The intermittency of PV generation can be either short-term caused by cloud cover, or long-term due to unavailability of solar at night. Like in [15] and [16], many researchers are investigating the hybrid PV storage system using a battery-supercapacitor to optimize the overall performance, which utilizes the high power density of a supercapacitor (SC), and the high energy density of battery.…”

Section: Generic Hybrid Pv-storage Modelmentioning

confidence: 99%

Techno-Economic Analysis of a Residential PV-Storage Model in a Distribution Network

Xiong

Nour

2019

Energies

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The high penetration level of photovoltaic (PV) generation in distribution networks not only brings benefits like carbon savings, but also induces undesirable outcomes, like more harmonic components and voltage fluctuations. Driven by decreasing costs of energy storage, the focus of this paper is to investigate the feasibility of applying energy storage in the grid-connected PV system to mitigate its intermittency. Firstly, to appreciate the functionality of storage, a generic PV-battery-supercapacitor model was simulated in MATLAB/Simulink, and a flat load profile was obtained to enhance predictability from the network management point of view. However, the usage of supercapacitors at the residential level is limited, due to its high startup costs. Secondly, a detailed residential PV-battery model was implemented in the System Advisor Model (SAM) based on local data in Dubai. The optimal sizing of a battery system was determined by assessing two criteria: The number of excursions, and average target power, which are contradictory in optimization process. Statistical indicators show that a properly sized battery system can alleviate network fluctuations. The proposed sizing method can be also applied to other PV-storage systems. Finally, economic studies of PV-battery system demonstrated its competitiveness against standalone PV systems under appropriate tariff incentives.

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Section: Generic Hybrid Pv-storage Modelmentioning

confidence: 99%

Techno-Economic Analysis of a Residential PV-Storage Model in a Distribution Network

Xiong

Nour

2019

Energies

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“…To mitigate the negative impacts of this variability from renewable power sources, the use of an energy storage system (ESS) has been considered [3][4][5][6][7]. Since different storage technologies have their own strengths and weaknesses in terms of cost, lifetime, and efficiency, a combination of different technologies, also called a hybrid energy storage system (HESS), has been proposed and evaluated to assist with the integration of renewable generation [8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Capacity specification for hybrid energy storage system to accommodate fast PV fluctuations

Wang

Yue

2015

2015 IEEE Power &Amp; Energy Society General Meeting

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To accommodate the fast power fluctuations associated with PV generation, a hybrid energy storage system (HESS) consisting of a battery energy storage system (BESS) and super-capacitor is evaluated in this paper. A probabilistic approach for determining the power capacity specification for the HESS is proposed. This method would allow the capacities of the BESS and super-capacitor to be properly designed to optimize the characteristics of high energy density of the BESS and high power density of the super-capacitor. Results show that the super-capacitor within the HESS helps to mitigate the high frequency fluctuations, which contributes to the extension of BESS lifetime. In addition, the super-capacitor helps to address the peaks in solar power fluctuations without the severe penalty of round trip losses associated with a BESS. The proposed approach has been simulated using real PV generation data from an existing PV power plant in Long Island, New York.

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“…Also the control problem includes the system model equations from (1) to (6). To realize the control effectively, adequate determining the reference value for the output is crucial, and the details on the realization are given in the next chapter.…”

Section: Smoothing Pv Output Fluctuationmentioning

confidence: 99%

“…Optimal smoothing strategies for wind farms and PV farms using BESS have been proposed in [4][5][6]. For the purpose, this paper also employs moving average filter (MAF) to generate the This paper proposes the application of one-step model predictive control (MPC) for the BESS charging and discharging algorithms.…”

Section: Introductionmentioning

confidence: 99%

Suppression of PV Output Fluctuation Using a Battery Energy Storage System with Model Predictive Control

Aryani

Kim

Song

2017

IJFIS

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This paper provides a control strategy for battery energy storage system (BESS) in suppressing the photovoltaic (PV) output fluctuation so that the smoothed power delivered to the grid satisfies the maximum ramp requirement of the system. As one of robust control solutions, model predictive control (MPC) is proposed so the control actions of battery charging and discharging can be planned by considering some constraints such as battery power and state of charge (SoC) limitations. Moving average filter (MAF) is used to generate the output reference for the combined system of PV and BESS where the time window is selected by considering the maximum ramp provided to the system. The simulation results show that the proposed control strategy is able to track the prescribed reference effectively so the smoothing strategy meets the fluctuations limit while satisfying the battery constraints.

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Optimal capacity selection of hybrid energy storage systems for suppressing PV output fluctuation

Cited by 11 publications

References 10 publications

Techno-Economic Analysis of a Residential PV-Storage Model in a Distribution Network

Techno-Economic Analysis of a Residential PV-Storage Model in a Distribution Network

Capacity specification for hybrid energy storage system to accommodate fast PV fluctuations

Suppression of PV Output Fluctuation Using a Battery Energy Storage System with Model Predictive Control

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