Distributed Frequency and Voltage Control for AC Microgrids based on Primal-Dual Gradient Dynamics

Kölsch, Lukas; Wieninger, Katharina; Krebs, Stefan; Hohmann, Sören

doi:10.1016/j.ifacol.2020.12.1110

Cited by 6 publications

(2 citation statements)

References 20 publications

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“…Stability conditions with voltage variations for droop control using port Hamiltonian modeling are discussed in [176]. Gradient-based algorithms are proposed in [177]. These algorithms solve the optimal frequency regulation using the optimal power flow model.…”

Section: Frequency Stabilitymentioning

confidence: 99%

Enhancing Microgrid Stability and Energy Management: Techniques, Challenges, and Future Directions

Safder,

Sanjari,

Hamza

et al. 2023

Energies

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Microgrid technology offers a new practical approach to harnessing the benefits of distributed energy resources in grid-connected and island environments. There are several significant advantages associated with this technology, including cost-effectiveness, reliability, safety, and improved energy efficiency. However, the adoption of renewable energy generation and electric vehicles in modern microgrids has led to issues related to stability, energy management, and protection. This paper aims to discuss and analyze the latest techniques developed to address these issues, with an emphasis on microgrid stability and energy management schemes based on both traditional and distinct approaches. A comprehensive analysis of various schemes, potential issues, and challenges is conducted, along with an identification of research gaps and suggestions for future microgrid development. This paper provides an overview of the current state of the field and proposes potential areas of future research.

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Section: Frequency Stabilitymentioning

confidence: 99%

Enhancing Microgrid Stability and Energy Management: Techniques, Challenges, and Future Directions

Safder,

Sanjari,

Hamza

et al. 2023

Energies

View full text Add to dashboard Cite

show abstract

“…Moreover, it is assumed that the inverter interface at I nodes is equipped with an internal matching controller [16], [17]. This allows to use the following dynamic network model for our considerations [2], [18]:…”

Section: Modeling Of Physical Networkmentioning

confidence: 99%

Optimal Distributed Frequency and Voltage Control for Zonal Electricity Markets

Kölsch¹,

Zellmann²,

Vyas³

et al. 2021

Preprint

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Zonal pricing is a well-suited mechanism to incentivize grid-supporting behavior of profit-maximizing producers and consumers operating on a large-scale power system. In zonal electricity markets, local system operators create individual price zones, which provide appropriate price signals depending on local grid conditions such as an excess or shortage of electrical energy in certain regions. In this paper, a continuous-time zonal pricing controller for AC power networks is presented that ensures frequency and voltage stability as well as Pareto efficiency of the resulting closed-loop equilibria. Based on a dynamic network model taking into account line losses and power exchange with adjacent price zones, distributed control laws are derived which require only neighbor-to-neighbor communication. Case studies on the IEEE-57 bus system with different pricing concepts illustrate how zonal prices enable consideration of regional supply and demand conditions as well as increased robustness compared to an isolated grid operation.

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AC Traction Network Simulation with the Wave Processes in the SimInTech Environment

Kovaleva

Komyakova

Pashkova

et al. 2022

SMART Automatics and Energy

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Distributed Frequency and Voltage Control for AC Microgrids based on Primal-Dual Gradient Dynamics

Cited by 6 publications

References 20 publications

Enhancing Microgrid Stability and Energy Management: Techniques, Challenges, and Future Directions

Enhancing Microgrid Stability and Energy Management: Techniques, Challenges, and Future Directions

Optimal Distributed Frequency and Voltage Control for Zonal Electricity Markets

AC Traction Network Simulation with the Wave Processes in the SimInTech Environment

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