A decentralized approach for frequency and voltage regulation in islanded PV-Storage microgrids

Rosini, Alessandro; Mestriner, Daniele; Labella, Alessandro; Bonfiglio, Andrea; Procopio, Renato

doi:10.1016/j.epsr.2020.106974

Cited by 35 publications

(22 citation statements)

References 30 publications

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“…Thanks to its unique rolling optimization mechanism, the MPC is widely used to deal with control problems with strong constraints. The MPC prediction mechanism and the optimization mechanism are usually used to improve the control performance of AC microgrid [29,30], namely, to solve the problems of voltage and frequency recovery and optimal active power allocation in traditional secondary control. However, in the process of realizing the control goal of the AC microgrid, only a few studies consider the physical state constraints [31].…”

Section: Introductionmentioning

confidence: 99%

“…(3) In an AC microgrid with a complex communication network, the problem of the excessive communication cost has to be considered. Compared with [28][29][30], we designed the scheme of self-triggered control for the prediction mechanism of the MPC, which avoids the disadvantage of needing to sample at any time for the traditional event triggered and does not require additional design of the observer. Meanwhile, the scheme not only reduces the communication cost and computation burden but also does not have Zeno behavior.…”

Section: Introductionmentioning

confidence: 99%

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Self-Triggered Model Predictive Control of AC Microgrids with Physical and Communication State Constraints

Dong

Gan

et al. 2022

Energies

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In this paper, we investigate the secondary control problems of AC microgrids with physical states (i.e., voltage, frequency and power, etc.) constrained in the process of actual control, namely, under the condition of state constraint. On the basis of the primary control (i.e., droop control), the control signals generated by distributed secondary control algorithm are used to solve the problems of voltage and frequency recovery and power allocation for each distributed generators (DGs). Therefore, the model predictive control (MPC) with the mechanism of rolling optimization is adopted in the second control layer to achieve the above control objectives and solve the physical state constraint problem at the same time. Meanwhile, in order to reduce the communication cost, we designed the self-triggered control based on the prediction mechanism of MPC. In addition, the proposed algorithm of self-triggered MPC does not need sampling and detection at any time, thus avoiding the design of observer and reducing the control complexity. In addition, the Zeno behavior is excluded through detailed analysis. Furthermore, the stability of the algorithm is verified by theoretical derivation of Lyapunov. Finally, the effectiveness of the algorithm is proved by simulation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Self-Triggered Model Predictive Control of AC Microgrids with Physical and Communication State Constraints

Dong

Gan

et al. 2022

Energies

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“…Ref. [20] proposed a novel decentralized and communication-less controlled strategy for frequency and voltage regulation of the PV-Storage island microgrid. Ref.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Virtual Synchronous Generator Control Strategy for Harmonic and Imbalance Voltage Suppression of Multi-Inverter Parallel Microgrid

Dong

Han

et al. 2022

Electronics

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To reduce the impact of the imbalance of mixed non-linear loads on an inverter voltage output in the microgrid, we improve the disadvantage of the lack of damping and inertia for traditional droop control. This paper proposes a comprehensive virtual synchronous generator (VSG) control strategy for harmonic suppression and imbalance suppression of a multi-inverter parallel microgrid. On one hand, an improved VSG control strategy is proposed to increase the damping and inertia of distributed generations (DGs) in the microgrid, and secondary control is introduced to improve system stability. On the other hand, the frequency division suppression control strategy is used to eliminate the influence of harmonics, and the negative sequence component is compensated to eliminate the influence of imbalance. Then small-signal analysis is used for analysis of the stability of the strategy. Finally, we verify the comprehensive control strategy proposed in this paper through experiments. The experimental results suggest a significant improvement on the voltage, frequency, power optimization, handling of non-linear load and capacity distribution precision, as well as providing inertia support for the system.

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“…Additionally, the authors in [6], proposed an approach for emergency frequency control for an isolated microgrid based on DG, solar PV, and battery energy storage systems. Another work in this context was presented in [7], where the authors describe a model predictive control-based decentralised and communicationfree technique for frequency and voltage management in a solar PV-energy storage-based microgrid. Authors in [8], develops an algebraic-type based control approach for virtual synchronous generator (VSG), which reduces the frequency and voltage deviations in the system using battery energy storage system (BESS).…”

Section: Introductionmentioning

confidence: 99%

DOBC-Based Frequency & Voltage Regulation Strategy for PV-Diesel Hybrid Microgrid During Islanding Conditions

Grover¹,

Verma²,

Bhatti³

2022

Preprint

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This paper proposes a disturbance observer-based control (DOBC) method for frequency and voltage regulation of a solar photovoltaic (PV)-diesel generator (DG) based hybrid microgrid during islanding conditions. The DOBC is integrated as a feed-forward control to the synchronous generator based DG, which handles real-time power mismatches and regulates the microgrid frequency and voltage under islanding. To substantiate the operational robustness of the developed controller under real-time uncertainties arising due to variability in PV output and load, the controller has been tested under worstcase uncertainty conditions. The proposed controller has been developed as a MATLAB/Simulink model and the results are validated on the real-time simulator OPAL-RT. The effectiveness of the proposed control scheme has further been validated in the presence of communication delays and noisy load conditions. Results verify the dynamic performance of the controller in regulating the system frequency and voltage for low-inertia microgrids. Finally, the proposed control strategy has been implemented on laboratory scale microgrid setup in which synchronous generator based diesel generator regulates system frequency fast and efficiently under worst case uncertainty scenario.

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A decentralized approach for frequency and voltage regulation in islanded PV-Storage microgrids

Cited by 35 publications

References 30 publications

Self-Triggered Model Predictive Control of AC Microgrids with Physical and Communication State Constraints

Self-Triggered Model Predictive Control of AC Microgrids with Physical and Communication State Constraints

A Comprehensive Virtual Synchronous Generator Control Strategy for Harmonic and Imbalance Voltage Suppression of Multi-Inverter Parallel Microgrid

DOBC-Based Frequency & Voltage Regulation Strategy for PV-Diesel Hybrid Microgrid During Islanding Conditions

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