Control Strategy of Energy Storage for Smoothing Photovoltaic Power Fluctuations

Liu, Haoming; Jian-yu, Peng; Zang, Qiyue; Yang, Kelin

doi:10.1016/j.ifacol.2015.12.118

Cited by 25 publications

(18 citation statements)

References 2 publications

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“…Furthermore, the study tests a caparison between first and second general energy filters, results show that a better smoothing performance obtained with a second odder filter regardless of the implementation cost. The author in [9] shows that implementing an SoC feedback control with the low pass filter methodology yields a smooth output and a higher battery lifetime could be obtained. The proposed study in [10] proves the relation between optimal capacity and the number of batteries.…”

Section: Related Workmentioning

confidence: 99%

Saviztky–Golay Filtering for Solar Power Smoothing and Ramp Rate Reduction Based on Controlled Battery Energy Storage

Atif

Khalid

2020

IEEE Access

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Energy is present in every touch we make in our modern life. However, with the increase of energy-consuming devices, there is a burden to meet this demand with a clean power generation. Although solar and wind are considered as clean and renewable energy resources, many issues engender with their higher penetration into electricity grids. However, when renewable energy resources are integrated with battery energy storage systems (BESS), more smoothed and easily dispatchable power can be obtained. This paper investigates the smoothing quality of the solar photovoltaic power output with the help of BESS using a couple of approaches such as low pass filtering (LPF), moving average (MA) filtering, Gaussian filter (GF) and Saviztky-Golay (S-G) filter. Obviously, the smoothed dispatchable power has been achieved with all mentioned methods, however, the performance of moving average and low pass filters is not acceptable comparatively especially when longer window size and time constant are used, which consequently deteriorates the performance of storage system. In contrast, the paper introduces using the Savitsky-Golay filter to reduce battery ramp rate and battery charging and discharging power while smoothing the solar power fluctuations. The simulation results depict the performance of the proposed smoothing filter and compare its performance against MA, LPF and GF.

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Section: Related Workmentioning

confidence: 99%

Saviztky–Golay Filtering for Solar Power Smoothing and Ramp Rate Reduction Based on Controlled Battery Energy Storage

Atif

Khalid

2020

IEEE Access

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“…The filter is tuned based on the irradiance pattern, which may not ensure an RR of 10% all the time, as the grid code demand. In [18], the output power of a 150 kW PV system is smoothed by an LPF with time constant of 120-seconds.…”

Section: First Order Low-pass Filter (Lpf)mentioning

confidence: 99%

“…The work in [18] proposes a smoothing technique based on a first order low-pass filter (LPF). The filtered PV output power serves as a reference for the BESS to eliminate the higher power fluctuations.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Ramp-Rate Control Algorithms for PV with Energy Storage Systems

et al. 2019

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The high variability of solar irradiance, originated by moving clouds, causes fluctuations in Photovoltaic (PV) power generation, and can negatively impact the grid stability. For this reason, grid codes have incorporated ramp-rate limitations for the injected PV power. Energy Storage Systems (ESS) coordinated by ramp-rate (RR) control algorithms are often applied for mitigating these power fluctuations to the grid. These algorithms generate a power reference to the ESS that opposes the PV fluctuations, reducing them to an acceptable value. Despite their common use, few performance comparisons between the different methods have been presented, especially from a battery status perspective. This is highly important, as different smoothing methods may require the battery to operate at different regimes (i.e., number of cycles and cycles deepness), which directly relates to the battery lifetime performance. This paper intends to fill this gap by analyzing the different methods under the same irradiance profile, and evaluating their capability to limit the RR and maintain the battery State of Charge (SOC) at the end of the day. Moreover, an analysis into the ESS capacity requirements for each of the methods is quantified. Finally, an analysis of the battery cycles and its deepness is performed based on the well-established rainflow cycle counting method.

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“…This is in fact a common application for BESS systems due to the unpredictability of PV generation. Under this circumstances, the battery provides or absorbs power based on a control signal that is first smoothened by a filter [15].…”

Section: A Models and Simulation Of The Pv + Bes Systemsmentioning

confidence: 99%

Test Platform for Photovoltaic Systems with Integrated Battery Energy Storage Applications

Spataru

Martins

Stroe

et al. 2018

2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC &Amp

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We present a hybrid simulation and a real-time test platform for developing control systems for photovoltaic (PV) inverters with integrated battery energy storage (BES). The platform consists of a dual-stage single-phase PV inverter system, DC coupled with a full-bridge grid connected inverter, which emulates the charge regulator and battery bank. The real-time control of the two power electronic converters is implemented in a Simulink/dSpace platform, together with the real-time simulation model of the battery pack. The input power can be provided by either a high performance PV emulator or by a physical PV array. The platform enables real-time testing of PV+BES control systems and energy management systems (EMS), for a variety of battery technologies, which can be modelled in detail and emulated by the full-bridge grid connected inverter. Such flexibility is difficult to achieve with real BES systems, due to electrical safety and cost constrains of high power charge regulators and battery packs.

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Control Strategy of Energy Storage for Smoothing Photovoltaic Power Fluctuations

Cited by 25 publications

References 2 publications

Saviztky–Golay Filtering for Solar Power Smoothing and Ramp Rate Reduction Based on Controlled Battery Energy Storage

Saviztky–Golay Filtering for Solar Power Smoothing and Ramp Rate Reduction Based on Controlled Battery Energy Storage

Comparative Study of Ramp-Rate Control Algorithms for PV with Energy Storage Systems

Test Platform for Photovoltaic Systems with Integrated Battery Energy Storage Applications

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