Microgrids Control Issues

Dimeas, Aris; Tsikalakis, Antonis G.; Kariniotakis, Georges; Korres, George N.

doi:10.1002/9781118720677.ch02

Cited by 19 publications

(26 citation statements)

References 37 publications

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“…This controller also maintains black-start and synchronization after mode switching. The secondary control is divided into two categories-(1) centralized control and (2) decentralized control [199]- [201]. In the centralized control method, a global controller known as MGCC performs power management in the hybrid AC/DC microgrid.…”

Section: ) Secondary Controlmentioning

confidence: 99%

Stability and Control Aspects of Microgrid Architectures–A Comprehensive Review

et al. 2020

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Self-governing small regions of power systems, known as "microgrids", are enabling the integration of small-scale renewable energy sources (RESs) while improving the reliability and energy efficiency of the electricity network. Microgrids can be primarily classified into three types based on their voltage characteristics and system architecture; 1) AC microgrids, 2) DC microgrids, and 3) Hybrid AC/DC microgrids. This paper presents a comprehensive review of stability, control, power management and fault ride-through (FRT) strategies for the AC, DC, and hybrid AC/DC microgrids. This paper also classifies microgrids in terms of their intended application and summarises the operation requirements stipulated in standards (e.g., IEEE Std. 1547. The control strategies for each microgrid architecture are reviewed in terms of their operating principle and performance. In terms of the hybrid AC/DC microgrids, specific control aspects, such as mode transition and coordinated control between multiple interlinking converters (ILCs) and energy storage system (ESS) are analysed. A case study is also presented on the dynamic performance of a hybrid AC/DC microgrid under different control strategies and dynamic loads. Hybrid AC/DC microgrids shown to have more advantages in terms of economy and efficiency compared with the other microgrid architectures. This review shows that hierarchical control schemes, such as primary, secondary, and tertiary control are very popular among all three microgrid types. It is shown that the hybrid AC/DC microgrids require more complex control strategies for power management and control compared to AC or DC microgrids due to their dependency on the ILC controls and the operation mode of the hybrid AC/DC microgrid. Case study illustrated the significant effects of microgrid feeder characteristics on the dynamic performance of the hybrid AC/DC microgrid. It is also revealed that any transient conditions either in the AC or DC microgrids could propagate through the ILC affecting the entire microgrid dynamic performance. Additionally, the critical control issues and the future research challenges of microgrids are also discussed in this paper.INDEX TERMS Energy storage system (ESS), hybrid AC/DC microgrid, IEEE Std. 1547-2018, interlinking converter (ILC), microgrid stability, power management, renewable energy sources (RESs).

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Section: ) Secondary Controlmentioning

confidence: 99%

Stability and Control Aspects of Microgrid Architectures–A Comprehensive Review

et al. 2020

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“…The charger with good efficiency using the sliding mode control is implemented in [9]. A recent trend in microgrid, architecture and control with AC and DC hybrid microgrids are presented in [10]- [12]. The architecture and review of AC and DC microgrid is discussed in [13]- [16].…”

Section: Introductionmentioning

confidence: 99%

Validation of photovoltaics powered UPQC using ANFIS controller in a standard microgrid test environment

Sumana

Dhanalakshmi

Dhamodharan³

2022

IJECE

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The power quality improvement becomes one of the important tasks while using microgrid as main power supply. Because the microgrid is combination of renewable energy resources. The renewable energy resources are intermittent in power supply and at the peak loading condition it has to supply the required power. So, the power quality problems may increase in that time. Out of all power quality issues the voltage drop and harmonic distortion is considered as the most serious one. In recent years unified power quality conditioner (UPQC) is emerged as most promising device which compensates both utility as well as customer side power quality disturbances in effective way. The compensating potentiality used in the UPQC is limited by the use of DC link voltage regulation and the conventional proportional integral (PI) controller. In this paper the compensating potentiality of the UPQC device is controlled by an adaptive neuro fuzzy inference system (ANFIS) control and it is powered from the available photovoltaics (PV) power generation. The effect of adding an intelligent UPQC is tested in the standard IEEE-14bus environment. MATLAB 2017b is used here for testing and plotting the simulation results.

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“…The secondary level is in charge of load and renewable energy sources, load shedding/management, unit commitment/dispatch, secondary voltage/frequency control, secondary active/reactive power control, security monitoring, and black start. Finally, the upper or tertiary level is related to the market participation of microgrids, managing decisions for importing or exporting energy where a distribution network operator and a market operator can be found [3,[10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Predictive Control for Microgrid Applications: A Review Study

et al. 2020

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Microgrids need control and management at different levels to allow the inclusion of renewable energy sources. In this paper, a comprehensive literature review is presented to analyse the latest trends in research and development referring to the applications of predictive control in microgrids. As a result of this review, it was found that the application of predictive control techniques on microgrids is performed for the three control levels and with adaptations of the models in order to include uncertainties to improve their performance and dynamics response. In addition, to ensure system stability, but also, at higher control levels, coordinated operation among the microgrid’s components and synchronised and optimised operation with utility grids and electric power markets. Predictive control appears as a very promising control scheme with several advantages for microgrid applications of different control levels.

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Microgrids Control Issues

Cited by 19 publications

References 37 publications

Stability and Control Aspects of Microgrid Architectures–A Comprehensive Review

Stability and Control Aspects of Microgrid Architectures–A Comprehensive Review

Validation of photovoltaics powered UPQC using ANFIS controller in a standard microgrid test environment

Predictive Control for Microgrid Applications: A Review Study

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