Transient stability analysis and improvement in microgrid

Singh, Richa; Kirar, Mukesh Kumar

doi:10.1109/icepes.2016.7915937

Cited by 16 publications

(6 citation statements)

References 7 publications

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“…In MG systems, the main factors causing small disturbances include feedback controllers, load changes, power limitations of DGs, and communication delays, while the main factors causing large disturbances include system faults, mode switching, and DG/ load switching. For the above factors, there are various ways to improve the stability of the MG, such as through auxiliary controls of DGs [12], [30], [64], [75], stabilizers [115], coordinated controls [26], [66], [86], and energy storage systems (ESS) [87], 108] to improve the small-signal stability, and the improvement of transient stability is mainly considered from the aspects of ESS, load shedding [116] and transient stability assessments [45]. The stability problems associated with power electronic devices can be divided into slow-interaction stability and fast-interaction stability.…”

Section: ) Classificationmentioning

confidence: 99%

Multi-Timescale Modeling and Dynamic Stability Analysis for Sustainable Microgrids: State-of-the-Art and Perspectives

Zhang,

Han,

Liu

et al. 2024

Prot. Control Mod. Power Syst.

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The increasing trend for integrating renewable energy sources into the grid to achieve a cleaner energy system is one of the main reasons for the development of sustainable microgrid (MG) technologies. As typical power-electronized power systems, MGs make extensive use of power electronics converters, which are highly controllable and flexible but lead to a profound impact on the dynamic performance of the whole system. Compared with traditional large-capacity power systems, MGs are less resistant to perturbations, and various dynamic variables are coupled with each other on multiple timescales, resulting in a more complex system in-stability mechanism. To meet the technical and economic challenges, such as active and reactive power-sharing, volt-age, and frequency deviations, and imbalances between power supply and demand, the concept of hierarchical control has been introduced into MGs, allowing systems to control and manage the high capacity of renewable energy sources and loads. However, as the capacity and scale of the MG system increase, along with a multi-timescale control loop design, the multi-timescale interactions in the system may become more significant, posing a serious threat to its safe and stable operation. To investigate the multi-timescale behaviors and instability mechanisms under dynamic inter-actions for AC MGs, existing coordinated control strategies are discussed, and the dynamic stability of the system is defined and classified in this paper. Then, the modeling and assessment methods forthe stability analysis of multi-timescale systems are also summarized. Finally, an outlook and discussion of future research directions for AC MGs are also presented.

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Section: ) Classificationmentioning

confidence: 99%

Multi-Timescale Modeling and Dynamic Stability Analysis for Sustainable Microgrids: State-of-the-Art and Perspectives

Zhang,

Han,

Liu

et al. 2024

Prot. Control Mod. Power Syst.

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“…Moreover, the robust droop control method shares power at a higher voltage level than the traditional droop control method. Reactive power share is not achieved by the traditional droop control method and is equalized to an approximate reference value by the robust droop control method [80,81].…”

Section: Transient Stability In Grid-connected Microgridsmentioning

confidence: 99%

A Review on Optimization and Control Methods Used to Provide Transient Stability in Microgrids

et al. 2019

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Microgrids are distribution networks consisting of distributed energy sources such as photovoltaic and wind turbines, that have traditionally been one of the most popular sources of energy. Furthermore, microgrids consist of energy storage systems and loads (e.g., industrial and residential) that may operate in grid-connected mode or islanded mode. While microgrids are an efficient source in terms of inexpensive, clean and renewable energy for distributed renewable energy sources that are connected to the existing grid, these renewable energy sources also cause many difficulties to the microgrid due to their characteristics. These difficulties mainly include voltage collapses, voltage and frequency fluctuations and phase difference faults in both islanded mode and in the grid-connected mode operations. Stability of the microgrid structure is necessary for providing transient stability using intelligent optimization methods to eliminate the abovementioned difficulties that affect power quality. This paper presents optimization and control techniques that can be used to provide transient stability in the islanded or grid-connected mode operations of a microgrid comprising renewable energy sources. The results obtained from these techniques were compared, analyzing studies in the literature and finding the advantages and disadvantages of the various methods presented. Thus, a comprehensive review of research on microgrid stability is presented to identify and guide future studies.

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“…5 showcasing microgrid stability issues. Unlike microgrids with limited resources, the bulk power system typically has excess generating capacity, or operating reserves, to meet real and reactive demands to maintain stability [7] [8]. Inputs to the ETAP model block diagram include the entirety of the existing microgrid components including synchronous generators, induction motor, static loads, power transformers, utility grid, protective elements, busbars, and cables.…”

Section: Microgrid Modeling and Stability Analysismentioning

confidence: 99%

Modeling and Load Flow Analysis of a Microgrid Laboratory.

Taufik¹,

Guevara²,

Shaban³

et al. 2019

ijsgset

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Microgrids-miniature versions of the electrical grid are becoming increasingly more popular as advancements in technologies, renewable energy mandates, and decreased costs drive communities to adopt them. The modern microgrid has capabilities of generating, distributing, and regulating the flow of electricity, capable of operating in both grid-connected and islanded (disconnected) conditions. This paper utilizes ETAP software in the analysis, simulation, and development of a lab-scale microgrid located at Cal Poly State University. Microprocessor-based relays are heavily utilized in both the ETAP model and hardware implementation of the system. Three case studies were studied and simulated to investigate electric power system load flow analysis of the Cal Poly microgrid. Results were compared against hardware test measurements and showed overall agreement. Slight discrepancies were observed in the simulation results due mainly to the non-ideality of actual hardware components and lab equipment.

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Transient stability analysis and improvement in microgrid

Cited by 16 publications

References 7 publications

Multi-Timescale Modeling and Dynamic Stability Analysis for Sustainable Microgrids: State-of-the-Art and Perspectives

Multi-Timescale Modeling and Dynamic Stability Analysis for Sustainable Microgrids: State-of-the-Art and Perspectives

A Review on Optimization and Control Methods Used to Provide Transient Stability in Microgrids

Modeling and Load Flow Analysis of a Microgrid Laboratory.

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