Research on photovoltaic energy storage micro‐grid systems based on improved sliding mode control

Fu, Changxin; Zhang, Lixin; Li, Huaisheng

doi:10.1049/rpg2.12631

Cited by 2 publications

(3 citation statements)

References 24 publications

(34 reference statements)

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“…[32], multiple-input multiple-output SMC has been used to control the grid-connected wind energy conversion system Permanent Magnet Synchronous Generator (PMSG) based. SMC has been used in different applications like controlling of shunt active power of a filter [33], multiarea interconnected power systems [34], controlling a Voltage Source Inverter (VSI) [35], and for PV scopes such as Maximum Power Point Tracking (MPPT) [36][37][38]. In ref.…”

Section: Literature Surveymentioning

confidence: 99%

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Optimal sliding mode control for frequency stabilization of hybrid renewable energy systems

Elsaied

Hameed

Hasanien

et al. 2023

IET Renewable Power Gen

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The constant changes in the load power lead permanently to a power mismatch between the power generation and the power consumption. So, the system frequency due to the power imbalance deviates from the nominal value. Consequently, a control loop should be implemented to stabilize the system frequency whenever a load change occurs. This paper presents a new super‐twisting sliding mode control methodology for obtaining an optimal frequency performance in a multi‐pool system. The paper presents a three‐pool system for frequency deviation problems using an optimal gain Super Twisting Sliding Mode Controller (STSMC), which regulates the frequency change and the line power change to zero in a minimal time. The extent of the excellence of the study proposed is evaluated by comparing it with three Benchmark classical controllers, which are the Tilt‐Integral‐Derivative (TID), Proportional‐Integral‐Derivative (PID), and Fractional‐Order PID (FOPID). The parameters of the four controllers are determined by a proposed physical meta‐heuristic optimization technique called Transient Search Optimizer (TSO), inspired by the dynamic behaviour in the electrical circuits comprising storage elements such as capacitors and inductors during the switching actions. The system simulation is performed, and the STSMC proved overwhelming superiority over other controllers, as it deals better with the transient interval of the system response. Renewable Energy sources (RESs) like photovoltaic and wind energy systems are established, and the STSMC is tested with industrial and residential load models. Finally, energy storage devices such as batteries and superconducting magnetic energy storage are implemented to suppress the rapid fluctuations in the system response, and it succeeded in doing that as the system oscillations are greatly damped with the energy storage devices.

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Section: Literature Surveymentioning

confidence: 99%

“…The solution of the first-order circuits exponentially increases or decreases; in the second-order circuits, an oscillatory response (underdamped) decreases with time. The solutions of the first-order and second-order circuits are given in Equations ( 36) and (37).…”

Section: The Proposed Transient Search Optimization Algorithm (Tso)mentioning

confidence: 99%

Optimal sliding mode control for frequency stabilization of hybrid renewable energy systems

Elsaied

Hameed

Hasanien

et al. 2023

IET Renewable Power Gen

View full text Add to dashboard Cite

show abstract

“…Moreover, storage could charge or discharge electric energy, which could effectively suppress power fluctuations [6]. When combined, PVs and storage form an autonomous PV‐storage microgrid system [7].…”

Section: Introductionmentioning

confidence: 99%

A self‐adaptive communication‐free control scheme of islanded PV‐storage microgrids

Li,

An,

Zhou

et al. 2024

IET Generation Trans & Dist

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For the problem that traditional droop control cannot maintain the maximum output power of photovoltaic (PV) units, this work proposes a self‐adaptive communication‐free control scheme for the islanded PV‐storage AC microgrids. The proposed control enables the maximum power point tracking‐based output active powers of PVs by adaptively adjusting P‐f/Q‐V droop coefficients. It also facilitates adaptive allocations of reactive powers based on the available capacities of PVs and storage modules. The key characteristics of the proposed control strategy are summarized as follows: 1) PV units are controlled as voltage sources, which could participate in the voltage/frequency regulation to a certain extent; 2) maximum power utilization of PVs is obtained; 3) adaptive allocations of reactive powers are realized based on the maximum available capacity of PVs and storage modules. Subsequently, the stability analysis of the proposed self‐adaptive communication‐free control strategy is verified. Finally, the validity of the proposed self‐adaptive communication‐free control method is validated through simulations conducted using MATLAB/Simulink.

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Research on photovoltaic energy storage micro‐grid systems based on improved sliding mode control

Cited by 2 publications

References 24 publications

Optimal sliding mode control for frequency stabilization of hybrid renewable energy systems

Optimal sliding mode control for frequency stabilization of hybrid renewable energy systems

A self‐adaptive communication‐free control scheme of islanded PV‐storage microgrids

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