Modeling a residential grid-connected PV system with battery–supercapacitor storage: Control design and stability analysis

Argyrou, Maria C.; Marouchos, C. C.; Kalogirou, Soteris A.; Christodoulides, Paul

doi:10.1016/j.egyr.2021.08.001

Cited by 51 publications

(13 citation statements)

References 26 publications

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“…Accurate models to predict DG power production are crucial for their adequate inclusion on the distribution grid to provide ancillary services. Multiple challenges must be faced to obtain a reliable estimation of the RES potential [211] and to optimally allocate the power when including storage [212,213]. Different approaches can be considered to forecast the meteorological resources used by RESs.…”

Section: Discussionmentioning

confidence: 99%

Assessing the Role of Energy Storage in Multiple Energy Carriers toward Providing Ancillary Services: A Review

2022

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Renewable energy power plants and transport and heating electrification projects are being deployed to enable the replacement of fossil fuels as the primary energy source. This transition encourages distributed generation but makes the grid more weather-dependent, thus reducing its inertia. Simultaneously, electrical network operators face voltage, frequency, and stability challenges at the distribution level. Networks were not designed to manage the stochasticity of renewable energy sources or the congestion caused by the new transport and heating demands. Such challenges are commonly addressed through infrastructure reinforcements. This review studies how energy storage systems with different carriers can provide a collaborative solution involving prosumers as ancillary services providers at the distribution level. We focused on the European urban context; thus, we analyzed renewable energy sources, batteries, supercapacitors, hydrogen fuel cells, thermal energy storage, and electric vehicles. A thorough review of successful implementations proved that including storage in one or more carriers benefits the distribution system operators and the prosumers, from both technical and economic perspectives. We propose a correlation between individual energy storage technologies and the ancillary services they can provide based on their responses to specific grid requirements. Therefore, distribution system operators can address network issues together with the prosumers. Nevertheless, attractive regulatory frameworks and business models are required to motivate prosumers to use their assets to support the grid. Further work is recommended to describe the joint operation of multiple storage technologies as multicarrier systems, focusing on the coupling of electrical and thermal energy storage. Additionally, how ancillary services affect the energy storage system’s aging should be studied.

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Section: Discussionmentioning

confidence: 99%

Assessing the Role of Energy Storage in Multiple Energy Carriers toward Providing Ancillary Services: A Review

2022

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“…U sc_L2 , U sc_L1 , U sc_H1 and U sc_H2 are the corresponding lower and upper voltage of each control band. Setting a reasonable adjustment factor, the output power of the SC module is calculated using Equation (11). Therefore, the stable SC terminal voltage is achieved indirectly by the output power of the battery pack in the HESS.…”

Section: Supercapacitor Voltage Adaptive Controlmentioning

confidence: 99%

“…[10], an HESS energy-management method based on fluctuation characteristic parameters was proposed, while Ref. [11] proposed energy management based on fuzzy control to achieve power distribution among the SC and battery in a connected-grid microgrid. HESS energy management schemes are different according to the connection structure of the SC and battery, but the basic idea is to use the battery to bear the low-frequency component of the load, and the SC to suppress the high-frequency component [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Energy Optimization Method of Hybrid Battery-Supercapacitor Storage System for Uncertain Demand

Gan

et al. 2022

Energies

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To address the problem of DC bus voltage surge caused by load demand fluctuation in an off-grid microgrid, here, an adaptive energy optimization method based on a hybrid energy-storage system to maintain the stability of DC bus voltage is presented. The adaptive energy optimization method consists of three parts: the average filtering algorithm, extracting fluctuating power in demand load; the supercapacitor terminal voltage control, keeping the terminal voltage of the supercapacitor near reference; and the battery pack balance control, adjusting the charge/discharge to balance the state of charge for battery packs. In this proposed method, after extracting the fluctuating power by the low-pass filter when the demand load fluctuates, the battery packs release the power to offset the low-frequency fluctuation load and the supercapacitor to instantaneously compensate the high-frequency fluctuation power, to prolong the service life of batteries and maintain the stability of DC bus voltage. The effectiveness of the proposed adaptive energy optimization method is validated and is confirmed to maintain the stable operation of the off-grid microgrid, extend the cycle life of batteries in off-grid microgrid simulations and experiments.

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“…The working principle is based on two alternative phenomena: charging and discharging, based on the control signal state, Sc. When considering the continuous conduction mode and the control signal state levels, two modes are to be considered [45][46][47][48][49][50][51][52][53].…”

Section: Bilinear Switching Model Of Dc-dc Buck Convertermentioning

confidence: 99%

Robust Voltage Control of a Buck DC-DC Converter: A Sliding Mode Approach

Hamed

Sbita

2022

Energies

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This paper deals with voltage control in a buck DC-DC converter. In fact, dynamic mathematical equations describing the principle behavior of the above system have been derived. Due to the nonlinearity of the established model, a nonlinear control algorithm is adopted. It is based on the sliding mode control approach. To highlight the performance of the latter, a comparative study with four control algorithms is carried out. The validity of the model and the performance of the conceived algorithms are verified in simulation. Both the system and the algorithm controls are implemented in the Matlab/Simulink environment. Extensive results under different operational conditions are presented and discussed.

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Modeling a residential grid-connected PV system with battery–supercapacitor storage: Control design and stability analysis

Cited by 51 publications

References 26 publications

Assessing the Role of Energy Storage in Multiple Energy Carriers toward Providing Ancillary Services: A Review

Assessing the Role of Energy Storage in Multiple Energy Carriers toward Providing Ancillary Services: A Review

An Adaptive Energy Optimization Method of Hybrid Battery-Supercapacitor Storage System for Uncertain Demand

Robust Voltage Control of a Buck DC-DC Converter: A Sliding Mode Approach

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