Modeling and frequency control of community micro-grids under stochastic solar and wind sources

Kumar, Dhananjay; Mathur, H. D.; Bhanot, Surekha; Bansal, Ramesh C.

doi:10.1016/j.jestch.2020.02.005

Cited by 36 publications

(20 citation statements)

References 37 publications

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“…48 ZN method, which is also known as the "Reaction Curve" method, is applied when the step response of the plant is S-shaped for tuning the controller. 23 The basic flaws of such procedures are the time-spent toward execution of the control encounter, as such; they might drop in a slow step while falling an unstable space of function. Hence, an adequate tuning of PI gains is very critical and breaking to confirm increased power quality and enhanced network functions throughout distributed sources addition and load variations.…”

Section: Classical Pi Linear Controllermentioning

confidence: 99%

“…The gains for the PI controller can be computed using the self or “hit & trial error” process 47 or otherwise can be tuned by the Ziegler Nichols (ZN) method 48 . ZN method, which is also known as the “Reaction Curve” method, is applied when the step response of the plant is S ‐shaped for tuning the controller 23 . The basic flaws of such procedures are the time‐spent toward execution of the control encounter, as such; they might drop in a slow step while falling an unstable space of function.…”

Section: Control Strategies In Cognitive Mgmentioning

confidence: 99%

“…The HS‐based H‐infinity controller regulates both frequency and voltage at the rated value improving island MG power quality. Paper 23 examines a robust design based on a fixed structure H synthesis method, which degrades the system performance and stability, which analyze the frequency behavior against the stochastic input disturbances and the load power that resulting in parametric perturbation. Small‐signal stability evaluation of standalone hybrid power system with dish‐Stirling solar thermal systems (DSTS) in conjunction with diesel engine generators (DEG), fuel cells (FC), battery energy storage system (BESS), and aqua electrolyzer (AE) are developed in Reference 24.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Insights and trends of optimal voltage‐frequency control DG‐based inverter for autonomous microgrid: State‐of‐the‐art review

Arfeen

Kermadi

Azam

et al. 2020

Int Trans Electr Energ Syst

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This paper endeavours a control scheme for optimal control of voltage and frequency of power inverter which relied upon distributed generation in cognitive microgrid using soft computational methods. It gives sound direction on how to control the active power flow, voltage-frequency regulation, and sharing of power among various components of MG. The classical voltage-frequency control strategy in parallel with the modern control method is well excavated in the present paper. Moreover, modulation techniques, variants of reference frames, power quality indices are covered blatantly. Thus, the paper gives fast insight and understanding to the engineers working in this niche area.

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Section: Classical Pi Linear Controllermentioning

confidence: 99%

Section: Control Strategies In Cognitive Mgmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Insights and trends of optimal voltage‐frequency control DG‐based inverter for autonomous microgrid: State‐of‐the‐art review

Arfeen

Kermadi

Azam

et al. 2020

Int Trans Electr Energ Syst

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“…To handle the parametric uncertainty of the distributed generation units in DC microgrids a robust controller has been proposed in Reference 15. A secondary frequency controller design is proposed in Reference 16 considering the communication time delay and the work in Reference 17 proposes a robust adaptive controller design for frequency regulation in MG. The robust controller design for a community microgrid is presented in Reference 18 using structured uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Forecast‐based modeling and robust frequency control of standalone microgrids considering high penetration of renewable sources

Kumar

Mukherjee

Mathur

et al. 2020

Int Trans Electr Energ Syst

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Summary This article proposes forecast‐based modeling and robust frequency control strategy in isolated microgrids (MGs) to improve its stability. The intermittency and variability in renewable generation is problem for its smooth integration to MGs considering frequency stability. Continuous rise in penetration levels of renewable energy sources (RESs) is the main motivation behind forecast‐based modeling and controller design for MGs. The disturbances that affect the frequency in the MG may come from the load side and/or the generation sides. In MGs, at the generation side, the forecast of power from RESs is usually obtained to get a rough estimate of available renewable power. The forecasted power always differs from the actual one, so the secondary frequency controller may get overburdened due to forecast error resulting in abnormal frequency deviation that may lead to unstable power system. The proposed H∞ based robust control design considers the forecast error which improves the system stability and performance against disturbances coming from load/generation side. First, a long short term memory based recurrent neural network has been used to forecast the renewable power availability. Thereafter a H∞ controller is designed, and it is shown through extensive simulation studies that the H∞ controller outperforms optimized PID controllers so far as rejecting the effects of uncertainties in RESs, forecasting errors, and model parameter variations are concerned. The proposed robust controller design is also validated with real time simulator (OP4510) made by Opal‐RT. The controller hardware in the loop (CHIL) test has been done taking the simulation time step of 50 μS.

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“…A modified MPPT control for small wind turbines to provide dynamic frequency support in Islanded microgrid has been presented in [30]. The stochastic modelling of wind and solar PV and stability analysis of MG using robust control synthesis is presented in [31]- [32].…”

Section: Introductionmentioning

confidence: 99%

Modified Deloading Strategy of Wind Turbine Generators for Primary Frequency Regulation in Micro-Grid

Kumar

Sharma

Mathur

et al. 2020

Technol Econ Smart Grids Sustain Energy

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In this work, the contribution of wind turbine generator (WTG) to support micro-grid (MG) during depressed frequency condition has been studied with a modified strategy for improving the primary load frequency response of MG. The majority of existing deloading techniques to estimate the reference power are based on the linear relationship. Hence they are not so accurate to mimic the actual speed versus power dynamics of turbine rotor during deloading operation which is inherently nonlinear in nature. In this work, the existing methods have been analyzed in detail with an aim to improve the performance. Based on the analysis a modified deloading method assuming non-linear relation between rotor speed and power of WTG system has been proposed which shows the improved load frequency response in MG. The proposed deloading technique is simulated and validated using real-time digital simulator (OP4510) for the variation in load and generation inside an islanded MG. The results obtained using modified deloading method are compared with existing deloading method and it is found that proposed deloading method handles the non-linearity of the system during deloading operation and also it contributes more power to MG in response to load demand at the cost of slight increase in the speed of turbine rotor.

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Modeling and frequency control of community micro-grids under stochastic solar and wind sources

Cited by 36 publications

References 37 publications

Insights and trends of optimal voltage‐frequency control DG‐based inverter for autonomous microgrid: State‐of‐the‐art review

Insights and trends of optimal voltage‐frequency control DG‐based inverter for autonomous microgrid: State‐of‐the‐art review

Forecast‐based modeling and robust frequency control of standalone microgrids considering high penetration of renewable sources

Modified Deloading Strategy of Wind Turbine Generators for Primary Frequency Regulation in Micro-Grid

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