Decentralized control for parallel operation of distributed generation inverters using resistive output impedance

Guerrero, Josep M.; Berbel, Néstor; Matas, J.; Sosa, J.L.; Cruz, J.; Alentorn, A.

doi:10.1109/epe.2005.219446

Cited by 281 publications

(506 citation statements)

References 24 publications

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“…This assumption is further justified for the present analysis, since the droop control laws introduced in (4) are mostly used in networks with dominantly inductive admittances [16,15].…”

Section: Stability For Lossless Microgridsmentioning

confidence: 99%

“…There are several other alternative droop control schemes proposed in the literature, e.g., [43,16,15]. The one given in (4) is the most common one for dominantly inductive networks, as well as the one most compatible with the operation of conventional power systems [10].…”

Section: Remark 32mentioning

confidence: 99%

“…If the network lines possess large resistive components, the standard droop control exhibits limitations [15]. In this case, several modified droop controls [6,43,16] have been proposed. Even in the presence of nonnegligible line resistances the application of the droop controls of [3,4] can be justified, on one hand, via the virtual impedance approach [17] while, on the other hand, invoking their analogy to conventional droop control [10] of SGbased grids.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Conditions for stability of droop-controlled inverter-based microgrids

Schiffer¹,

Ortega²,

Astolfi³

et al. 2014

Automatica

384

367

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We consider the problem of stability analysis for droop-controlled inverter-based microgrids with meshed topologies. The inverter models include variable frequencies as well as voltage amplitudes. Conditions on the tuning gains and setpoints for frequency and voltage stability, together with desired active power sharing, are derived in the paper. First, we prove that for all practical choices of these parameters global boundedness of trajectories is ensured. Subsequently, assuming the microgrid is lossless, a port-Hamiltonian description is derived, from which sufficient conditions for stability are given. Finally, we propose for generic lossy microgrids a design criterion for the controller gains and setpoints such that a desired steady-state active power distribution is achieved. The analysis is validated via simulation on a microgrid based on the CIGRE (Conseil International des Grands Réseaux Electriques) benchmark medium voltage distribution network.

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“…This assumption is further justified for the present analysis, since the droop control laws introduced in (4) are mostly used in networks with dominantly inductive admittances [16,15].…”

Section: Stability For Lossless Microgridsmentioning

confidence: 99%

Section: Remark 32mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Conditions for stability of droop-controlled inverter-based microgrids

Schiffer¹,

Ortega²,

Astolfi³

et al. 2014

Automatica

384

367

View full text Add to dashboard Cite

show abstract

“…and RESs (solar, wind turbine, small hydro etc.) 2 . DG systems are decentralized and use more flexible and modular technologies to meet out the energy demand and to provide various ancillary services 3 .…”

Section: Introductionmentioning

confidence: 99%

“…In a low voltage microgrid, the lines are considered to be resistive in nature and hence there exists a strong linkage between active power & voltage (P-V) and reactive power & frequency (Q-f). Therefore P-V and Q-f droop relations and its variants are used to control the microgrid voltage and frequency 2,11 . However in general case, the effect of both the resistance and the inductance has to be considered 13,14 .…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network Based Droop-Control Technique for Accurate Power Sharing in an Islanded Microgrid

Vigneysh¹,

Kumarappan²

2016

IJCIS

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In an islanded microgrid, while considering the complex nature of line impedance, the generalized droop control fails to share the actual real/reactive power between the distributed generation (DG) units. To overcome this power sharing issue, in this paper a new approach based on feed forward neural network (FFNN) is proposed. Also, the proposed FFNN based droop control method simultaneously controls the microgrid voltage and frequency within the limits. The proposed microgrid consists of combination of photovoltaic (PV) system and battery energy storage system (BESS) as the first DG unit and solid oxide fuel cell (SOFC) as the second DG unit. The simulation of the proposed microgrid is carried out in Matlab/Simulink environment and necessary results are compared to show the effectiveness of the proposed method.

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Control of distributed generation systems for microgrid applications: A technological review

Arfeen

Khairuddin

Larik

et al. 2019

Int Trans Electr Energ Syst

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Summary Microgrid implementation requires effective and efficient strategies for controlling the grid parameters. Various problems are encountered with the deployment of distributed generation in terms of reverse power, an imbalance between power generation and nonlinear load. This paper is focused on the existing controllers in terms of their merits and limitations. Furthermore, the state of the art of the local power distribution system especially on renewable energy resources along with energy storage methods is explored. Reliability and stability of power flow between sources and consumers via voltage source inverter are also considered. The emerging microgrid concept in islanding and grid‐connected mode using different controller along with soft computing algorithm are presented. This paper gives the reader fast insight into the context of the controller and its application.

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Decentralized control for parallel operation of distributed generation inverters using resistive output impedance

Cited by 281 publications

References 24 publications

Conditions for stability of droop-controlled inverter-based microgrids

Conditions for stability of droop-controlled inverter-based microgrids

Artificial Neural Network Based Droop-Control Technique for Accurate Power Sharing in an Islanded Microgrid

Control of distributed generation systems for microgrid applications: A technological review

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