Robust decentralized nonlinear control for multimachine power systems

Rtibi, Hosni; Elloumi, Salwa

doi:10.1109/aset.2017.7983739

Cited by 9 publications

(3 citation statements)

References 10 publications

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“…Since introducing decentralized control, it has been always considered an important control choice for interconnected systems. In this way, the decentralized optimal control partitions the measurement information and elaborates local and independent control law for each subsystem (Bakule, 2014; Feydi et al, 2019; Khorsand and Gattami, 2011; Mahmoud, 2011; Rtibi et al, 2017, 2018).…”

Section: Introductionmentioning

confidence: 99%

A decentralized observer-based optimal control for interconnected systems using the block pulse functions

Ghali

Benallègue²,

Elloumi

2020

Transactions of the Institute of Measurement and Control

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The paper proposes a method to integrate numerically an interconnected system, based on an idea of orthogonal approximation of functions. Here, block pulse functions (BPFs) are chosen as the orthogonal set. The main advantage of using this technique is its ability to transform the original optimal control problem to a mathematical programming problem relatively easier to solve. The primary focus of this paper is to exploit and rigorously develop the BPFs parametrization technique for the synthesis of a decentralized observer-based optimal control for large-scale interconnected systems. In addition, we develop a mathematical model of a double-parallel inverted pendulum coupled by a spring, taking into account all possible changes of the connecting position of the elastic spring. In so doing, we conducted advanced simulations applying the new optimal control method to the studied interconnected system. Our results demonstrate the validity and the effectiveness of the developed decentralized observer-based optimal control approach.

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Section: Introductionmentioning

confidence: 99%

A decentralized observer-based optimal control for interconnected systems using the block pulse functions

Ghali

Benallègue²,

Elloumi

2020

Transactions of the Institute of Measurement and Control

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“…Hongshan and Xiaoming [12] proposed a fast excitation predictive control method for a multimachine power system based on a dynamic model and some inequality constraints on states, inputs, and outputs are considered in rolling optimization by using Gramian balanced reduction technique. Hosni and Selwa [13] investigated the problem of decentralized robust stabilizing control, based on direct Lyapunov methods and Kronecker reduction production notation. Tao [14] proposed an optimal control problem for large-scale systems with unknown parameters and dynamics.…”

Section: Introductionmentioning

confidence: 99%

Decentralized constrained optimal control of the multimachine power system stability improvement

Abakar

Abouelsoud

Saulo

et al. 2020

IJEECS

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<p>The paper proposes, a decentralized constrained optimal control of the multimachine power system stability. Today’s power network conditions, operating closer to their limits. Alternative Current power grids are more vulnerable and subject to instability than ever before. A three machine power system and four machines, power system connected with a transmission line lossy. Nonlinear controllers are more complex structure and inflexible to be used in practice paralleled with a linear controller. The linearized dynamical equations of the multimachine power system are near to an equilibrium point and it can be stabilized by using a decentralized constrained controller based on optimal control. The feedback controller, which comprises independent control stations receives the measurement data and influences the control input of the machine is only attached to the subsystems. State feedback controller guarantees the closed-loop system is asymptotically stable can guarantee the performance index. It bases designed controlled systems on the algebraic Riccati equations and all its poles are in the closed left half-plane. Decentralized constrained optimal control of the multimachine power system is achieved through simulation of the results. This achievement of results is proposed by improves power system stability.</p>

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“…The decentralized adaptive control has been studied in [2][3][4][5][6]. The robust decentralized control is presented in [7][8][9]. The decentralized control using sliding mode approach is developed in [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Decentralized Control Approaches of Large-Scale Interconnected Systems

Amor¹,

Elloumi²

2018

Adv. sci. technol. eng. syst. j.

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In this paper, we investigate the decentralized control problem for largescale interconnected systems. The synthesis of the decentralized controller consists in determining gains which ensure the stability of the global system. To calculate these gains, three approaches are presented. Our main contribution is to develop a new decentralized stabilization approach which the decentralized local gains are calculated and formulated via the resolution of linear matrix inequalities (LMIs) problem. A numerical simulation comparison of the three methods is performed on an interconnected double-parallel inverted pendulum.

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Robust decentralized nonlinear control for multimachine power systems

Cited by 9 publications

References 10 publications

A decentralized observer-based optimal control for interconnected systems using the block pulse functions

A decentralized observer-based optimal control for interconnected systems using the block pulse functions

Decentralized constrained optimal control of the multimachine power system stability improvement

Decentralized Control Approaches of Large-Scale Interconnected Systems

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