Optimal decentralized control of a wind turbine and diesel generator system

Shojaee, Milad; Azizi, S. Mohsen

doi:10.1002/oca.2762

Cited by 6 publications

(4 citation statements)

References 47 publications

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“…In [19], authors present a multi-agent based distributed optimal tie-line power control scheme to maintain the operational stability of interconnected MGs under constant load variations. In [20], authors propose a decentralized optimal control scheme to regulate frequency and power of a stand-alone coupled wind turbine and diesel generator. The proportional-integral (PI) controllers are designed and optimized simultaneously by using a quasi-Newton based optimization technique, namely, Davidon-Fletcher-Powell algorithm.…”

Section: B Literature Reviewmentioning

confidence: 99%

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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Section: B Literature Reviewmentioning

confidence: 99%

Decentralized Robust Controller Design for Strongly Interconnected Generators

Shojaee

Azizi

2023

IEEE Access

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“…q mg,4 = q maC + q m f (18) where; q mg,4 denotes the air flow into the high-pressure turbine, q maC denotes the air flow from the high-pressure compressor, and q m f denotes the fuel flow.…”

Section: Common Working Equationsmentioning

confidence: 99%

“…Ref. [18] studied the decentralized control problem of two coupled power systems, including wind turbines and diesel generators. In this paper, the system was not decoupled and treated as a whole, and a decentralized controller was designed consisting of two PI-lead controllers.…”

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confidence: 99%

A Linear Iterative Controller for Software Defined Control Systems of Aero-Engines Based on LMI

Ren

et al. 2023

Actuators

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Currently, most control systems of the aero-engines possess a central controller. The core tasks for the control system, such as control law calculations, are executed in this central controller, and its performance and reliability greatly impact the entire control system. This paper introduces a control system design named Software Defined Control Systems (SDCS), which features a controller-decentralized architecture. In SDCS, a network composed of a set of nodes serves as the controller, so there is no central controller in the system, and computations are distributed throughout the entire network. Since the controller is decentralized, there is a need for decentralized control tasks. To address this, this paper introduces a method for designing decentralized control tasks using periodic linear iteration. Each node in the network periodically broadcasts its own state and updates its next-step state as a weighted sum of its current state and the received current states of other nodes in the network. Each node in the network acts as a linear dynamic controller and maintains an internal state through information exchange with other nodes. We modeled the decentralized controller and obtained the model of the entire control system, and the workload of each obtained decentralized control task is balanced. Then, we obtained a parameter tuning method for each decentralized controller node based on Linear Matrix Inequalities (LMI) to stabilize the closed-loop system. Finally, the effectiveness of the proposed method was verified through digital simulation.

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“…Literature in References 10,32,48,49 have performed GA, PSO, flower pollination‐algorithm and BBO techniques for controller gain optimization respectively. Numerous other optimization techniques namely Davidon–Fletcher–Powell algorithm, elephant‐herding‐optimization, chaotic‐atomic‐search‐optimization, whale‐optimization‐algorithm, Harris‐Hawk‐optimization have been employed for controller tuning in References 50‐54. In Reference 55, the authors present Magnetotactic Bacteria Optimization (MBO), an efficient and precise optimization approach.…”

Section: Introductionmentioning

confidence: 99%

Optimal control of electrical vehicle incorporated hybrid power system with second order fractional‐active disturbance rejection controller

Safiullah

Rahman

Lone

2021

Optim Control Appl Methods

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This article proposes a novel control methodology employing a fractional‐active‐disturbance‐rejection‐controller for the combined operation of load frequency control and automatic voltage regulator of a hybrid power system. A two area hybrid power system with diverse energy sources like solar‐thermal, conventional‐thermal and wind sources equipped with appropriate system nonlinearities is investigated. In order to ascertain the role of modern‐day electric‐vehicle (EV), the hybrid power system is incorporated with EVs in both the areas. To establish an effective frequency, voltage and tie line power control of the hybrid power system, a second order fractional‐active‐disturbance‐rejection‐controller with fractional‐extended state observer is modeled as secondary controller. Magnetotactic‐bacteria‐optimization (MBO) technique is applied to obtain optimal values of the controller gains and the hybrid system parameters. The robustness of the controller gains is tested under different system parameter changes from their nominal values. In addition, the effect of incorporating a power system stabilizer on the hybrid power system is evaluated. Further, the impact of integrating renewable sources and EVs in the hybrid power system is explored. Moreover, the stability of the hybrid power system is monitored with the inclusion of FACTS device. The developed controller operates encouragingly with reference to system stability, rapidity and accuracy in comparison to testified control strategies available in the literature. The robustness test under load‐perturbation, solar‐insolation, wind input variations also proves the efficiency of MBO optimized second order fractional‐active‐disturbance‐rejection‐controller gains.

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Optimal decentralized control of a wind turbine and diesel generator system

Cited by 6 publications

References 47 publications

Decentralized Robust Controller Design for Strongly Interconnected Generators

Decentralized Robust Controller Design for Strongly Interconnected Generators

A Linear Iterative Controller for Software Defined Control Systems of Aero-Engines Based on LMI

Optimal control of electrical vehicle incorporated hybrid power system with second order fractional‐active disturbance rejection controller

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