State-Space Modeling, Analysis, and Distributed Secondary Frequency Control of Isolated Microgrids

Mohammadi, Farideh Doost; Vanashi, Hessam Keshtkar; Feliachi, A.

doi:10.1109/tec.2017.2757012

Cited by 64 publications

(38 citation statements)

References 21 publications

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“…Although small signal modelling of Microgrid already exists in the literature [1,2,[14][15][16][17][18]; still modelling with the necessary mathematical formulation is done for subsequent MOR analysis, subject to state perturbation for both full order as well as reduced order system. The small signal modelling of the system in Figure 1, requires the state space analysis of the two inverters, loads and line dynamics.…”

Section: Small Signal Modelling Of Autonomous Microgrid Systemmentioning

confidence: 99%

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PSO Based reduced order modelling of autonomous AC microgrid considering state perturbation

2019

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Reduced order modelling of complex autonomous microgrid system is crucial to its small signal modelling and stability concerns. To reduce the storage requirements and computational time, the order of such microgrids can be reduced by Model Order Reduction (MOR) techniques. This paper presents an optimal reduction technique, which retains dominant poles of the original system and achieves subsequent error minimization through the Particle Swarm Optimization algorithm (PSO). The 36th order complex microgrid system is reduced to 9 th order approximant, which retains the significant dynamics of the original system. The simulation results reflect the superiority of the proposed method as compared to the balanced truncation method in terms of the time and frequency domain analysis of the reduced order equivalents. State perturbation in the state space model has also been considered in full as well as reduced order system dynamics and eigenvalue analysis for system stability.

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Section: Small Signal Modelling Of Autonomous Microgrid Systemmentioning

confidence: 99%

“…After linearization of the complete system about a stable operating point as given and rearranging the state variables and output variables in order as in (17), the complete 36th order state space model for the autonomous microgrid system is obtained from (10)(11)(12)(13)(14) as;…”

Section: State-space Modellingmentioning

confidence: 99%

PSO Based reduced order modelling of autonomous AC microgrid considering state perturbation

2019

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“…The frequency deviation inherently induced by the droop method can be solved by diverse restoration strategies. Many solutions (see [2]- [15] to name a few) require exchanging control data between VSIs over a communication network to achieve frequency restoration. The traditional approach to restore the frequency is to apply a centralized structure based on communications where a central unit collects information of all the droopcontrolled units, executes a standard PI (proportional-integral) control, and sends back the computed control actions.…”

Section: Introductionmentioning

confidence: 99%

Local Frequency Restoration for Droop-Controlled Parallel Inverters in Islanded Microgrids

Rey

Rosero

Velasco

et al. 2019

IEEE Trans. Energy Convers.

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In islanded microgrids, voltage source inverters working in parallel are expected to provide regulation of the local frequency while granting active power sharing. This paper presents a local control approach at each inverter based on an event-driven operation of a parameter-varying filter. It ensures perfect active power sharing and controllable accuracy for frequency restoration without requiring the exchange of control data between inverters over the communication network. The paper includes stability analysis and design guidelines for the control parameters using a modeling approach that considers the interaction between inverters. Selected experimental results on a three-inverter laboratory microgrid corroborate the effectiveness of the proposed control scheme, and outlines its advantages with respect to previous similar schemes and the performance cost that implies not using communications.

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“…The stability of the MG embedded with the DWC is analyzed using small signal method in this paper. In [12], the entire model of an inverter based MG is established in state-space form, which has been adopted by many articles [11,[13][14][15][16][17][18][19][20]. The active load is modeled and its characteristics are analyzed in [13].…”

Section: Introductionmentioning

confidence: 99%

Improved Droop Control with Washout Filter

Wei

2018

Energies

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In this paper, a droop washout filter controller (DWC), composed of a conventional droop controller and a washout filter controller, is proposed. The droop controller is used to ensure the “plug-and-play” capability, and the droop gain is set small. The washout filter is introduced to compensate the active power dynamic performance (APDP). Compared to the droop controller, the DWC can achieve accurate active power sharing and smaller frequency difference without losing the APDP. Additionally, a novel modeling technology is proposed, using which a small-signal model for an island microgrid (MG) is constructed as a singular system. The system’s stability is analyzed and the DWC is verified using real-time (RT-LAB) simulation with hardware in the loop (HIL).

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State-Space Modeling, Analysis, and Distributed Secondary Frequency Control of Isolated Microgrids

Cited by 64 publications

References 21 publications

PSO Based reduced order modelling of autonomous AC microgrid considering state perturbation

PSO Based reduced order modelling of autonomous AC microgrid considering state perturbation

Local Frequency Restoration for Droop-Controlled Parallel Inverters in Islanded Microgrids

Improved Droop Control with Washout Filter

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