Distributed Control of Multi-Functional Grid-Tied Inverters for Power Quality Improvement

Chen, Jianbo; Yue, Dong; Dou, Chunxia; Li, Ye; Hancke, Gerhard P.; Weng, Shengxuan; Guerrero, Josep M.; Ding, Xiaohua

doi:10.1109/tcsi.2020.3040253

Cited by 25 publications

(7 citation statements)

References 32 publications

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“…where n is the number of VDAPFs involved in assisting the mitigation process; q di is the positive degree of mitigation device participating in assisting mitigation, which is within the range of [0, 1]; and S VDAPF,di , S ′ VDAPF,di , and S 0 VDAPF,di are the actual compensation capacity of the di VDAPF before assisted mitigation, the actual compensation capacity, and the rated capacity after assisted mitigation [31].…”

Section: Observation Node Selectionmentioning

confidence: 99%

A Distributed Harmonic Mitigation Strategy Based on Dynamic Points Incentive of Blockchain Communities

Wang,

Zhou,

et al. 2024

Energies

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With the high proportion of renewable energy sources and power electronic devices accessed in the distribution network, the harmonic pollution problem has become increasingly serious. The traditional centralized harmonic mitigation strategy has difficulty in effectively dealing with these scattered and random harmonics. Therefore, a distributed harmonic mitigation strategy based on the dynamic points incentive of blockchain communities is proposed in this paper. Firstly, a comprehensive voltage sensitivity partitioning method with harmonic weight differentiation is proposed to realize the reasonable partitioning of each control node and controlled node in the distribution network concerning variability in harmonic components and their distribution. Then, a harmonic mitigation strategy based on the dynamic integral excitation of self-learning algorithms is constructed to promote self-organized optimization and active distributed coordinated control of mitigation devices. The strategy ensures that the total harmonic voltage distortion rate of each node meets the requirements by adjusting the partitioned collaboration to realize optimal harmonic mitigation. By setting optimized partitions in different scenarios and conducting simulation verification, the results demonstrate the effectiveness of the strategy in this paper. It stimulates synergy between devices through a dynamic incentive mechanism and significantly reduces the total harmonic voltage distortion rate across various test scenarios, reflecting the adaptability of the harmonic mitigation method presented.

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Section: Observation Node Selectionmentioning

confidence: 99%

A Distributed Harmonic Mitigation Strategy Based on Dynamic Points Incentive of Blockchain Communities

Wang,

Zhou,

et al. 2024

Energies

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“…In [29], the authors propose a partially distributed control scheme that with a predictive voltage controller, where they focus on impact from data-loss and its mitigation in the proposed voltage hierarchical controller, but only small communication networks with single delays are considered, while the use cases are performed almost exclusively on radial microgrid. In [30], the consensus-based distributed controller for multifunctional grid-tied inverters focuses on quality improvements but considered physical and communication networks are limited to several nodes and thus, the impact from cyber layer dynamics is not investigated in detail. An interesting stochastic distributed control scheme is developed in [31] for voltage regulation in multi-inverter networks subject to communication delays, however only for small radial networks with simple communication network.…”

Section: Introductionmentioning

confidence: 99%

Distributed Consensus Control Supported by High Reporting Rate Meters in Inverter-Based Cyber-Physical Microgrids

Sowa,

Monti

2023

IEEE Access

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This paper presents formulation and analysis of a distributed consensus-based controller for power electronics based microgrids (MG) with grid forming (GFM) and grid feeding (GFD) inverters. The control is supported by measurements from high reporting rate meters that improve the dynamics of consensus control and enables participation of buses with no dispatchable units. The study is performed on a developed cyber-physical (CP) model in DQ domain that allows for the analysis of arbitrary MGs. The control is established on fundamental principles of consensus and provides power sharing and voltage regulation, maintains power reserve in MG, and assumes distinct roles for different types of inverters. The analysis of the control scheme includes aspects of coupling between cyber and physical layers and stability under multi-layer communication structure. The study addresses disadvantages of classical hierarchical control and enhances analysis of distributed controllers through the proposed CP model.INDEX TERMS Microgrid, consensus, cyber-physical model, power sharing, grid forming inverter, grid feeding inverter, voltage control. FIGURE 1. Exchange of information between GFM, GFD inverters and high-reporting rate meters in a simple MG.

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“…When the microgrid works in isolated island mode, with the access of complex loads (mainly including phase-to-phase loads, single loads between single-phase and neutral lines, and power electronic equipment etc. ), various power quality problems will occur in the system, such as voltage deviation, negative sequence and waveform distortion [5][6][7][8]. These problems will cause damage to interconnected electrical equipment, increase the probability of failure and affect the stable operation of the whole system [9][10].…”

Section: Introductionmentioning

confidence: 99%

A control strategy of microgrid voltage source inverter based on self‐learning sliding mode control

Zhang

Sun

2023

IET Power Electronics

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In island mode, voltage source inverter (VSI) supports the frequency and voltage of microgrid. After the complex load is connected, the VSI control performance is degraded, and the output voltage has deviation, negative sequence, waveform distortion and other problems, which further deteriorate the power quality of the microgrid. Different from the traditional strategy that only focus on a single problem, the strategy proposed in this paper can deal with these three power quality problems simultaneously. In this paper, a self‐learning sliding mode control strategy is proposed. First, a nonlinear smooth function is used to design an expansion observer, which can estimate the expansion state of the internal uncertainties and external disturbances of the control system. Second, the extended observer is combined with the self‐learning synovial control technology to realize the self‐learning synovial disturbance rejection control of VSI control strategy. This strategy can improve the stability of voltage control under various working conditions without precise mathematical model. The simulation results show that, compared with the traditional control strategy, this strategy has good robustness under different working conditions.

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Distributed Control of Multi-Functional Grid-Tied Inverters for Power Quality Improvement

Cited by 25 publications

References 32 publications

A Distributed Harmonic Mitigation Strategy Based on Dynamic Points Incentive of Blockchain Communities

A Distributed Harmonic Mitigation Strategy Based on Dynamic Points Incentive of Blockchain Communities

Distributed Consensus Control Supported by High Reporting Rate Meters in Inverter-Based Cyber-Physical Microgrids

A control strategy of microgrid voltage source inverter based on self‐learning sliding mode control

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