Application of new generic models for PV and battery storage in system planning studies

Xu, Xiaokang; Casale, E.P.; Bishop, M.T.; Oikarinen, Donna G.

doi:10.1109/pesgm.2017.8273737

Cited by 9 publications

(3 citation statements)

References 1 publication

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“…For example, one of the techniques that use the energy generating operators are supposed to fulfill the national grid code ramp rate limits is by applying fast-acting storage units for RR compensation and control. Using the storage units not only helped the RR control but also had other functions in the power system, such as energy arbitrage, avoiding curtailment of renewable energy generation, frequency regulation, voltage support, and transmission and distribution network outage mitigation [7][8][9]. In standalone systems, such as those working with diesel generator systems and solar energy generation, ESTs have an inevitable advantage towards leveling the solar generation by saving it during high generation time and supplying it during low generation time [10].…”

Section: Literature Reviewmentioning

confidence: 99%

Hybrid Model-Based BESS Sizing and Control for Wind Energy Ramp Rate Control

Tadie

Guo

2022

Energies

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This paper presents a hybrid model constituting dynamic smoothing technique and particle swarm optimization techniques to optimally size and control battery energy storage systems for wind energy ramp rate control and power system frequency performance enhancement. In today’s modern power system, a high-proportion renewable energy grid is inevitable. This high-proportion renewable energy grid is a power system with abundant integration of renewable energy resources under the presence of energy storage tools. Energy storage tools are integrated into such power systems to balance the fluctuation and intermittence of renewable energy sources. One of the requirements in a high-proportion renewable energy grid is the fractional power balance between generation and load. One of the requirements set by power system regulators is the generation variation between two time points. A power producer is mandated to satisfy the ramp rate requirement set by the grid owner. This paper proposes dynamic smoothing techniques for initial size determination and particle swarm optimization based on optimal sizing and control of battery energy storage systems for ramp rate control and frequency regulation performance of a power system integrated with a large percentage of wind energy systems. Wind energy data taken from Zhangjiakou wind farm in China are used. The results indicate that the battery energy storage system improves the ramp rate characteristics of the wind farm. In addition, the virtual inertia capability of the battery energy storage system enabled the transient and steady-state frequency response of the test power system to improve significantly.

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Section: Literature Reviewmentioning

confidence: 99%

Hybrid Model-Based BESS Sizing and Control for Wind Energy Ramp Rate Control

Tadie

Guo

2022

Energies

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“…The continuous decrease in battery prices [12], along with the recent policies and incentives for increasing the application of energy storage for new and existing power plants, makes BESS an increasingly attractive solution. Besides PV power fluctuation smoothing, battery systems present other inherent possibilities [13,14], such examples are: (i) bulk energy services: energy time-shift (arbitrage), avoid renewable curtailment; (ii) ancillary services: frequency regulation, voltage support; (iii) transmission/distribution services: upgrade deferral, outage mitigation [13,14].…”

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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“…The ability to control and coordinate with PV generation, BESS help to mitigate power fluctuations, maintaining a net power production to the grid. Moreover, BESS can provide ancillary services as frequency regulation, voltage support and supplemental spinning reserve [5].…”

Section: Introductionmentioning

confidence: 99%

Model Predictive-Based Direct Battery Control in PV Fed Quasi Z-Source Inverters

Lashab

Séra

Martins

et al. 2018

2018 5th International Symposium on Environment-Friendly Energies and Applications (EFEA)

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A model predictive-based control strategy for the quasi-Z-source inverter (qZSI) with battery for photovoltaic (PV) power conversion system is proposed in this paper. Usually, in the control of the battery-assisted qZSI, only the injected power to the grid and the maximum power point tracking of the PV are controlled. The battery charges, discharges, or floats depending on the available PV power and demanded power. Thus, a lowfrequency current ripple is generated on top of the ripple caused by the shoot through state in the second inductor L2 and the battery. In the proposed approach, the battery current is directly controlled. The power injection is fulfilled with the maximum power capture from PV panels, along with a decoupled active and reactive power control. The validity of the proposed method is proved by using a detailed simulation model, showing a no lowfrequency current ripple in both the inductor L2 and battery.

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Application of new generic models for PV and battery storage in system planning studies

Cited by 9 publications

References 1 publication

Hybrid Model-Based BESS Sizing and Control for Wind Energy Ramp Rate Control

Hybrid Model-Based BESS Sizing and Control for Wind Energy Ramp Rate Control

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

Model Predictive-Based Direct Battery Control in PV Fed Quasi Z-Source Inverters

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