Decentralized Robust Control of a Coupled Wind Turbine and Diesel Engine Generator System

Shojaee, Milad; Azizi, S. Mohsen

doi:10.1109/tpwrs.2022.3167627

Cited by 9 publications

(8 citation statements)

References 28 publications

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“…Like the traditional power system, intelligent and robust control design approaches can obtain robust performance and stability in the presence of environmental and economic constraints in 𝑀𝐺𝑠. So far, several control methods for secondary LFC in islanded MGs, such as ∞H resistant control [5], linear matrix inequality control (LMI) [6], modelbased prediction (MPC) [7], and intelligent control, have been used. For example, a fuzzy controller based on a predictive model has been proposed [8] to control load frequency with a fast response and effectively perform an MG with different energy sources.…”

Section: Literature Review and Research Gapmentioning

confidence: 99%

Providing an Intelligent Frequency Control Method in a Microgrid Network in the Presence of Electric Vehicles

Alizadeh,

Tightiz,

Azimi Nasab

2024

WEVJ

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Due to the reduction in fossil fuel abundance and the harmful environmental effects of burning them, the renewable resource potentials of microgrid (MG) structures have become highly highly. However, the uncertainty and variability of MGs leads to system frequency deviations in islanded or stand-alone mode. Usually, battery energy storage systems (BESSs) reduce this frequency deviation, despite limitations such as reducing efficiency in the long term and increasing expenses. A suitable solution is to use electric vehicles (EVs) besides BESSs in systems with different energy sources in the microgrid structure. In this field, due to the fast charging and discharging of EVs and the fluctuating character of renewable energy sources, controllers based on the traditional model cannot ensure the stability of MGs. For this purpose, in this research, an ultra-local model (ULM) controller with an extended state observer (ESO) for load frequency control (LFC) of a multi-microgrid (MMG) has been systematically developed. Specifically, a compensating controller based on the single-input interval type fuzzy logic controller (FLC) was used to remove the ESO error and improve the LFC performance. Since the performance of the ULM controller based on SIT2-FLC depends on specific parameters, all of these coefficients were adjusted by an improved harmony search algorithm (IHSA). Simulation and statistical analysis results show that the proposed controller performs well in reducing the frequency fluctuations and power of the system load line and offers a higher level of resistance than conventional controllers in different MG scenarios.

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Section: Literature Review and Research Gapmentioning

confidence: 99%

Providing an Intelligent Frequency Control Method in a Microgrid Network in the Presence of Electric Vehicles

Alizadeh,

Tightiz,

Azimi Nasab

2024

WEVJ

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“…The proportional-integral (PI) controllers are designed and optimized simultaneously by using a quasi-Newton based optimization technique, namely, Davidon-Fletcher-Powell algorithm. The authors also present sequentially-designed robust decentralized controllers in [21], which consider uncertainties in the parameters of the stand-alone system. Moreover, they designed decentralized model predictive controllers sequentially for the same stand-alone system in [22].…”

Section: B Literature Reviewmentioning

confidence: 99%

“…The upper linear fractional transformation (LFT) is employed to formulate the transfer functions which have uncertain parameters. The details of LFT are elaborated in [21].…”

Section: Structured Uncertainties In the Parameters Of The Systemmentioning

confidence: 99%

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Decentralized Robust Controller Design for Strongly Interconnected Generators

Shojaee

Azizi

2023

IEEE Access

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Stability of multiple interconnected generation systems are prone to be adversely affected due to the inter-area oscillations among them. This issue becomes more significant when the interconnection strength among the generation systems is stronger. In previous control strategies, the coupling effects have been considered as undesired disturbances that leads to failure in tackling this issue when the generation systems become strongly coupled. Thus, in this paper a new control scheme is presented in this paper to address this strong coupling effect by designing robust decentralized controllers in a sequential way to tackle the load frequency control problem in a three-area generation system connected through tie-lines. Three robust decentralized controllers are designed for the three areas by using the µ-synthesis technique. The model of tie-line coupling among the generation areas is taken into account in the design of sequential controllers. Moreover, the decentralized controllers are designed in such a way that the entire control system is robust against all the parameter variations and uncertainties. Based on the simulation results, the proposed decentralized controllers outperform the conventional independently designed controllers in terms of variations in the coupling strength in the tie-line.INDEX TERMS Interconnected systems, µ-synthesis, robust controller, sequential design, synchronous generator, tie-line, uncertainty. Nomenclature A. MOTIVATION AND INCITEMENTOne of the major issues in the LFC problem of interconnected generation systems is the instability due to the highly coupled

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“…Maintaining the power exchange between the connection lines between the areas within the programmed limits is another task of this control loop [13,14]. The use of different distributed generator sources, such as wind turbine generators [15,16], solar panels [17,18], diesel engine generators [19,20], and energy storage systems [21,22], has significant advantages in improving the quality of the energy network. Nevertheless, the growing adoption of distributed generation sources presents challenges, including the intricacy of the frequency control mechanism, increased voltage instability, and heightened system sensitivity to faults within the energy network.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Small-Signal Stability in a Multi-Source Single-Area Power System with a Load-Frequency Controller Coordinated with a Photovoltaic System

Shahgholian,

Fathollahi

2024

AppliedMath

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The frequency deviation from the nominal working frequency in power systems is a consequence of the imbalance between total electrical loads and the aggregate power supplied by production units. The sensitivity of energy system frequency to both minor and major load variations underscore the need for effective frequency load control mechanisms. In this paper, frequency load control in single-area power system with multi-source energy is analysed and simulated. Also, the effect of the photovoltaic system on the frequency deviation changes in the energy system is shown. In the single area energy system, the dynamics of thermal turbine with reheat, thermal turbine without reheat and hydro turbine are considered. The simulation results using Simulink/Matlab and model analysis using eigenvalue analysis show the dynamic behaviour of the power system in response to changes in the load.

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Decentralized Robust Control of a Coupled Wind Turbine and Diesel Engine Generator System

Cited by 9 publications

References 28 publications

Providing an Intelligent Frequency Control Method in a Microgrid Network in the Presence of Electric Vehicles

Providing an Intelligent Frequency Control Method in a Microgrid Network in the Presence of Electric Vehicles

Decentralized Robust Controller Design for Strongly Interconnected Generators

Analyzing Small-Signal Stability in a Multi-Source Single-Area Power System with a Load-Frequency Controller Coordinated with a Photovoltaic System

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