Droop-Based Distributed Cooperative Control for Microgrids With Time-Varying Delays

Lai, Jingang; Zhou, Hong; Lu, Xiaoqing; Yu, Xinghuo; Hu, Wenshan

doi:10.1109/tsg.2016.2557813

Cited by 292 publications

(162 citation statements)

References 36 publications

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“…Also, resetting voltages to a constant value is a little constraining in standard medium-voltage grids. Thus, we have designed a continuous time distributed secondary voltage controller together with a distributed voltage estimator, which not only guarantee the precise reactive power sharing but also allow the weighted average voltage of all DERs to converge to the desired reference value [23]. Although reactive power sharing problem is also important for the stability of the whole MG, it is still difficult to design a tunable voltage and reactive power controller by using discrete-time distributed control inputs that are updated in an intermittent communication manner.…”

Section: Initializationmentioning

confidence: 99%

Distributed Secondary Voltage and Frequency Control for Islanded Microgrids With Uncertain Communication Links

Lai

et al. 2017

IEEE Trans. Ind. Inf.

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256

137

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Abstract-This paper presents a robust distributed secondary control (DSC) scheme for inverter-based microgrids (MGs) in a distribution sparse network with uncertain communication links. By using the iterative learning mechanics, two discrete-time DSC controllers are designed, which enable all distributed energy resources (DERs) in a MG to achieve the voltage/frequency restoration and active power sharing accuracy, respectively. In special, the secondary control inputs are merely updated at the end of each round of iteration, and thus each DER only needs to share information with its neighbors intermittently in a lowbandwidth communication manner. This way, the communication costs are greatly reduced, and some sufficient conditions on the system stability and robustness to the uncertainties are also derived by using the tools of Lyapunov stability theory, algebraic graph theory, and matrix inequality theory. The proposed controllers are implemented on local DERs, and thus no central controller is required. Moreover, the desired control objective can also be guaranteed even if all DERs are subject to internal uncertainties and external noises including initial voltage and/or frequency resetting errors and measurement disturbances, which then improves the system reliability and robustness. The effectiveness of the proposed DSC scheme is verified by the simulation of an islanded MG in MATLAB/SimPowerSystems.

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Section: Initializationmentioning

confidence: 99%

Distributed Secondary Voltage and Frequency Control for Islanded Microgrids With Uncertain Communication Links

Lai

et al. 2017

IEEE Trans. Ind. Inf.

Self Cite

256

137

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“…Authors of [17] derive a latency threshold using the Lyapunov-Krasovkii function but only consider frequency regulation. Authors of [18] discuss latency thresholds for microgrids under consensus-based distributed control, but only for strongly-connected graphs and inverter-based distributed generators (DGs) (in which the rotor inertia is not involved). In [19], the authors proposed a microgrid networked control scheme that is robust to communication latency and even data losses.…”

mentioning

confidence: 99%

Small-Signal Stability Analysis and Performance Evaluation of Microgrids Under Distributed Control

Yan

Shi

Bian

et al. 2019

IEEE Trans. Smart Grid

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Distributed control, as a potential solution to decreasing communication demands in microgrids, has drawn much attention in recent years. Advantages of distributed control have been extensively discussed, while its impacts on microgrid performance and stability, especially in the case of communication latency, have not been explicitly studied or fully understood yet. This paper addresses this gap by proposing a generalized theoretical framework for small-signal stability analysis and performance evaluation for microgrids using distributed control. The proposed framework synthesizes generator and load frequency-domain characteristics, primary and secondary control loops, as well as the communication latency into a frequency-domain representation which is further evaluated by the generalized Nyquist theorem. In addition, various parameters and their impacts on microgrid dynamic performance are investigated and summarized into guidelines to help better design the system. Case studies demonstrate the effectiveness of the proposed approach.

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“…However, it should be noted that in islanded renewable-based microgrids which are controlled based on MPPT principles, ESSs must also be dispatched to provide voltage and frequency regulation services [54]. Considering the drawbacks of IP/EMS and PP/EMS, it seems that a combined P/EMS structure (e.g., a consensus-based droop framework [55] or a droopbased distributed cooperative control [56]) could not only address reliability issues but also enhance control performance of the system both in grid-connected and stand-alone modes. …”

Section: Advancements In Energy Storage Technologiesmentioning

confidence: 99%

Optimal Design and Operation Management of Battery-Based Energy Storage Systems (BESS) in Microgrids

Anvari‐Moghaddam¹,

Dulout

Alonso

et al. 2018

Advancements in Energy Storage Technologies

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Energy storage systems (ESSs) can enhance the performance of energy networks in multiple ways; they can compensate the stochastic nature of renewable energies and support their large-scale integration into the grid environment. Energy storage options can also be used for economic operation of energy systems to cut down system's operating cost. By utilizing ESSs, it is very possible to store energy in off-peak hours with lower cost and energize the grid during peak load intervals avoiding high price spikes. Application of ESSs will also enable better utilization of distributed energy sources and provide higher controllability at supply/demand side which is helpful for load leveling or peak shaving purposes. Last but not least, ESSs can provide frequency regulation services in off-grid locations where there is a strong need to meet the power balance in different operating conditions. Each of the abovementioned applications of energy storage units requires certain performance measures and constraints, which has to be well considered in design phase and embedded in control and management strategies. This chapter mainly focuses on these aspects and provides a general framework for optimal design and operation management of battery-based ESSs in energy networks.

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Droop-Based Distributed Cooperative Control for Microgrids With Time-Varying Delays

Cited by 292 publications

References 36 publications

Distributed Secondary Voltage and Frequency Control for Islanded Microgrids With Uncertain Communication Links

Distributed Secondary Voltage and Frequency Control for Islanded Microgrids With Uncertain Communication Links

Small-Signal Stability Analysis and Performance Evaluation of Microgrids Under Distributed Control

Optimal Design and Operation Management of Battery-Based Energy Storage Systems (BESS) in Microgrids

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