An optimized LQG servo controller design using LQI tracker for VSP-based AC/DC interconnected systems

Rakhshani, Elyas; Naveh, Iman Mohammad Hosseini; Mehrjerdi, Hasan; Pan, Kaikai

doi:10.1016/j.ijepes.2020.106752

Cited by 12 publications

(9 citation statements)

References 19 publications

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“…The hawks spread out to observe potential prey. The initial position of hawks (Xi) is generated based on the dimension of the optimization variable in the predetermined search space as in Equation (33).…”

Section: ) Initialization Phasementioning

confidence: 99%

“…Both PSS and VI need their tunable parameter to be controlled optimally, thus various methods have been developed. The first group is predictive-based methods, like Linear Quadratic Regulator (LQR), Linear Quadratic Integral (LQI), and Linear Quadratic Gaussian (LQG) [22], [32], [33]. The H∞ control method has also been conducted [19], [34].…”

Section: Introductionmentioning

confidence: 99%

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A Hybrid Controlling Parameters of Power System Stabilizer and Virtual Inertia Using Harris Hawk Optimizer in Interconnected Renewable Power Systems

Almas Prakasa,

Robandi,

Nishimura

et al. 2024

IEEE Access

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A hybrid controlling method for stability controllers is needed in the interconnected renewable power systems due to the working conditions being diverse from low to high levels of Renewable Energy Sources (RES). Power System Stabilizer and Virtual Inertia (PSS-VI) are viable to provide a wider enhancement effect in the stability. This paper proposes a new approach to enhance the stability of interconnected renewable power systems by hybrid controlling parameters of PSS-VI. A robust optimizer based on Harris Hawk Optimizer (HHO) was established. Interconnected renewable power systems are modeled based on multi-area power systems with different energy resources, including conventional generators, Solar Power Generation (SPG), and Wind Power Generation (WPG). Besides that, the Battery Storage System (BSS) is also dispatched to realize the virtual inertia emulation. The optimal parameters by HHO are compared with the other recent novel algorithms. The optimal controlling parameters of PSS-VI by HHO in interconnected renewable power systems performed in low to high RES conditions. HHO can offer the best fitness value in faster iterations than the compared algorithms. The results of hybrid controlling parameters by HHO can significantly suppress the Rate of Change of Frequency (RoCoF) by 5.99% and 4.89% in low-RES and high-RES conditions, respectively. Moreover, the hybrid controlling parameters for PSS-VI offer smoother response and transition in frequency and interarea power exchange responses.INDEX TERMS harris hawk optimizer, interconnected power system, power system stabilizer, renewable

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Section: ) Initialization Phasementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Hybrid Controlling Parameters of Power System Stabilizer and Virtual Inertia Using Harris Hawk Optimizer in Interconnected Renewable Power Systems

Almas Prakasa,

Robandi,

Nishimura

et al. 2024

IEEE Access

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show abstract

“…Kalman filter basically acts as a low pass filter and it is effective in rejecting system disturbance. The control input and system output are the prime inputs to the Kalman filter [37].…”

Section: General Form Of Conventional Lqg and Modified Lqg Controller...mentioning

confidence: 99%

LQG-Based Virtual Inertial Control of Islanded Microgrid Load Frequency Control and DoS Attack Vulnerability Analysis

2023

Self Cite

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The load frequency control (LFC) in modern power system like microgrid has turned out to be significantly challenging due to the high penetration of renewable energy sources (RESs) and the consequent reduction of overall system inertia. The inverter-equipped RESs like solar and wind power generation units, besides the load variations can prompt sustained frequency fluctuations in microgrid and further lead to system instability, power outages, and even complete system blackout in the worst case. As a solution to the concerns of intermittent power source integration and resulting microgrid frequency instability, in this work, two robust LFC schemes using conventional linear quadratic gaussian (LQG) and modified LQG with linear quadratic integral (LQI) control schemes are proposed for secondary/battery energy storage system (BESS)-based auxiliary (virtual inertia (VI)) control of islanded/non-linear microgrid. The efficacy of the suggested control strategy is confirmed through MATLAB/SIMULINK simulations and by comparing with other different control schemes under various scenarios of distinct load and RES disturbance input profiles. The simulation results exhibited superior frequency regulation performance for the proposed control mechanisms over other types of control schemes. The proposed control schemes also ensure fast settling of frequency transients and help improve frequency stability under stochastic loads and random RES output power. In addition to the development of an effective robust controller, the vulnerability of the microgrid LFC system towards the denial of service (DoS) attack is analyzed for different control schemes. The vulnerability analysis is performed in the presence and absence of local auxiliary control loop and the remote secondary measurement communication channel is considered as the DoS attack point. The simulation results indicate that the local auxiliary control mechanism can not only help to improve frequency stability but also helps to add cyber-attack resilience to an extent when the secondary control loop is under attack.INDEX TERMS Linear quadratic Gaussian control, load frequency control, auxiliary control, virtual inertia control, denial of service attack.

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“…In most cases, linear controllers have been used in combination with turbine speed tracking system. Classical controllers like PI, 40 PID, 41 LQ & LQG 42 and linear robust controllers have been extensively discussed in various works in different field of engineering operation. Nuclear, hydroelectric and solar power plants, however typically have nonlinear systems components, whereas linear controllers have lower reliability and poor system performance 43 .…”

Section: Introductionmentioning

confidence: 99%

Hybrid whale optimization algorithm‐scaled cascade fractional order hybrid controller applied to renewable based Electric Vehicle generating systems

Mondal¹,

Biswas²,

Roy

et al. 2023

Int J Numerical Modelling

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In the upcoming epochs, conventional energy may deplete soon. Thus, the use of conventional energy in the power industries need to be supplemented by non‐conventional energy resources. This would result in loss of synchronisms in the power grids owing to the fact that solar and wind alternate their attributes expeditiously with change in atmospheric phenomenon. To ameliorate frequency deviation within a specific range automatic generation control (AGC) implements forced allowance on system operation. A three area thermal with photovoltaic (PV), electric vehicle (EV), wind system is considered under deregulated environment to develop and to judge the efficacy of newly developed cascade fractional order hybrid controller combination of (FOTID & 3DOF‐PID). Comparing the aforementioned controller to other controllers such as the three degree of freedom proportional‐integral‐derivative (3DOF‐PID), the fractional order tilt‐integral‐derivative (FOTID) and the proportional‐integral‐derivative (PID) justifies the system's effectiveness. This assessment has been accomplished by a trendy optimization technique such as hybrid whale optimization algorithm (HWOA). However, the main intent of this write‐up is to fabricate a cascade fractional order (CC‐FO) hybrid controller that would act as the new control mechanism for the proposed system under deregulated scenario. It has been found that the suggested CC‐FO hybrid controller stabilizes the system (i.e., Under step load disruptions, frequency deviation and tie‐line power become zero) in the shortest amount of time possible. Additionally, it is seen that the recommended controller can control a wide range of nominal loading circumstances and system characteristics, demonstrating its robustness.

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An optimized LQG servo controller design using LQI tracker for VSP-based AC/DC interconnected systems

Cited by 12 publications

References 19 publications

A Hybrid Controlling Parameters of Power System Stabilizer and Virtual Inertia Using Harris Hawk Optimizer in Interconnected Renewable Power Systems

A Hybrid Controlling Parameters of Power System Stabilizer and Virtual Inertia Using Harris Hawk Optimizer in Interconnected Renewable Power Systems

LQG-Based Virtual Inertial Control of Islanded Microgrid Load Frequency Control and DoS Attack Vulnerability Analysis

Hybrid whale optimization algorithm‐scaled cascade fractional order hybrid controller applied to renewable based Electric Vehicle generating systems

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