Load Frequency Control in Variable Inertia Systems

Syed, Mazheruddin H.; Guillo-Sansano, Efren; Mehrizi‐Sani, Ali; Burt, Graeme

doi:10.1109/tpwrs.2020.3014778

Cited by 22 publications

(7 citation statements)

References 6 publications

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“…On the other hand, power systems commonly employ load frequency control schemes for maintaining frequencies at scheduled values. [29][30][31][32] Typically, the power systems can be modeled as systems with input disturbances. For traditional load frequency control frameworks, dedicated communication infrastructures are utilized and delays in signal transmission are disregarded.…”

Section: Introductionmentioning

confidence: 99%

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New input‐to‐state stability conditions of linear systems with interval time‐varying delays and their application to power systems

Li,

Wang,

Zhu

et al. 2023

Intl J Robust & Nonlinear

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It is commonly believed that the Lyapunov‐Krasovskii functional method plays an important role in obtaining input‐to‐state stability conditions of systems with interval time‐varying delays. For a system with an interval time‐varying delay, an appropriate functional should be constructed during applying the method. Nevertheless, the delay has an interesting property that the delay in different delay intervals can have varying impacts on the system. In a way, the property is not considered adequately for the Lyapunov‐Krasovskii functional method, which may give rise to conservative conditions. This article proposes a new input‐to‐state stability analysis method by taking advantage of the ignored property. When the new method is adopted, multiple functionals are constructed for the delay in the different delay intervals. This means that the multiple functionals method is more applicable in practice than the Lyapunov‐Krasovskii functional method. With the help of the proposed method, new input‐to‐state stability conditions for linear delay systems are derived. A numerical example is presented to show that the obtained conditions are effective. At last, the newly derived conditions are applied to power systems with delayed load frequency control schemes.

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Section: Introductionmentioning

confidence: 99%

“…On the other hand, power systems commonly employ load frequency control schemes for maintaining frequencies at scheduled values 29–32 . Typically, the power systems can be modeled as systems with input disturbances.…”

Section: Introductionmentioning

confidence: 99%

New input‐to‐state stability conditions of linear systems with interval time‐varying delays and their application to power systems

Li,

Wang,

Zhu

et al. 2023

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

show abstract

“…The proportionalintegral (PI) LFC program is widely used to adjust the frequency deviation and tie-line power of multi-area power system. In the LFC system, the power and frequency measurements of generators in each control area are transmitted to control center through the communication network [4]. Due to the close connection between LFC system and communication part, and the dependence of the smart grid on data communication in addition to physical failures, the modern power system is also threatened by cyber attacks.…”

Section: Introductionmentioning

confidence: 99%

Detection of False Data Injection Attacks on Load Frequency Control System with Renewable Energy Based on Fuzzy Logic and Neural Networks

Chen

Zhu

et al. 2022

Journal of Modern Power Systems and Clean Energy

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Load frequency control (LFC) system may be destroyed by false data injection attacks (FDIAs) and consequently the security of the power system will be impacted. High-efficiency FDIA detection can reduce the damage and power loss to the power system. This paper defines various typical and hybrid FDIAs, and the influence of several FDIAs with different characteristics on the multi-area LFC system is analyzed. To detect various attacks, we introduce an improved data-driven method, which consists of fuzzy logic and neural networks. Fuzzy logic has the features of high applicability, robustness, and agility, which can make full use of samples. Further, we construct the LFC system on MATLAB/Simulink platform, and systematically simulate the experiments that FDIAs affect the LFC system by tampering with measurement data. Among them, considering the large-scale penetration of renewable energy with intermittency and volatility, we generate three simulation scenarios with or without renewable energy generation. Then, the performance for detecting FDIAs of the improved method is verified by simulation data samples.

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“…For tuning parameters of the controller, a black hole optimization algorithm was used. An augmented load frequency control was implemented in [6] to ensure the frequency regulation under dirunal conditions in renewable-rich power systems. The distributed automatic load control for local measurement and local communication was proposed in [7] for restoring nominal frequency and scheduled tie-line power flows.…”

Section: Introductionmentioning

confidence: 99%

Interval Type-2 Fuzzy Logic Control-Based Frequency Control of Hybrid Power System Using DMGS of PI Controller

et al. 2021

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The load frequency control of a microgrid is one of the emerging areas due to the changes in demand and supply in power system. So the controllers’ implementation must be changed accordingly. This paper proposes an interval type-2 fuzzy logic-based, dual-mode gain scheduling (DMGS) of the proportional and integral controller in which the gains of the PI controller werescheduled through the dynamic selector. This proposed controller was implemented ina hybrid microgrid power system in which nonconventional energy sources wereadded to each area of the conventional power plant, which madethe system much more prone to frequency variations. The controller was designed for three areas, consisting of a photovoltaic (PV) system, a wind power system, a fuel cell and a diesel engine/hydropower generator in which the generation rate constraint (GRC) was considered as a nonlinearity. The proposed power system was investigated under various load conditions in the MATLAB/SIMULINK environment. A comparative evaluation of changes in frequency, tie-line power fluctuations and variations in area control errors for the test system showed the effectiveness of the current approach over simple fuzzy PI and a conventional PI-controlling approach.

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Load Frequency Control in Variable Inertia Systems

Cited by 22 publications

References 6 publications

New input‐to‐state stability conditions of linear systems with interval time‐varying delays and their application to power systems

New input‐to‐state stability conditions of linear systems with interval time‐varying delays and their application to power systems

Detection of False Data Injection Attacks on Load Frequency Control System with Renewable Energy Based on Fuzzy Logic and Neural Networks

Interval Type-2 Fuzzy Logic Control-Based Frequency Control of Hybrid Power System Using DMGS of PI Controller

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