Load Frequency Control of a Multi-Area Power System: An Adaptive Fuzzy Logic Approach

Yousef, Hassan; AL-Kharusi, Khalfan; Albadi, Mohammed; Hosseinzadeh, Nasser

doi:10.1109/tpwrs.2013.2297432

Cited by 268 publications

(116 citation statements)

References 26 publications

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“…Machine learning is another take on adaptive control, which operates by observing solely performance metrics without models. Examples are the fuzzy control approach in [18] and the Adaptive Neuro-Fuzzy Inference System (ANFIS) approach in [19].…”

Section: A Literature Reviewmentioning

confidence: 99%

Tuningless Load Frequency Control Through Active Engagement of Distributed Resources

Prostejovsky

Marinelli

Rezkalla

et al. 2018

IEEE Trans. Power Syst.

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Abstract-The increasing share of volatile and inverter-based energy sources render electric power grids increasingly susceptible to disturbances. Established Load Frequency Controls (LFCs) schemes are rigid and require careful tuning, making them unsuitable for dynamically changing environments. In this paper, we present a fast and tuningless frequency control approach that tackles these shortcomings by means of modern grid monitoring and communications infrastructures in a two-fold concurrent process. First, direct observation of supply and demand enables fast power balancing decoupled from the total system dynamics. Second, primary resources are actively involved in frequency restoration by systematic adjustment of their frequency reference setpoints. In contrast to the commonly used Automatic Generation Control (AGC), the proposed Direct Load Frequency Control (DLFC) does not require an integrator for frequency control in the closed loop even under partial grid observability. The approach is Lyapunov-stable for a wide range of system parameters, including ramping limits of controlled resources. A performance study against AGC has been conducted on a threearea power system in simulations as well as in a real laboratory grid with an installed generation capacity of 110 kW.

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Section: A Literature Reviewmentioning

confidence: 99%

Tuningless Load Frequency Control Through Active Engagement of Distributed Resources

Prostejovsky

Marinelli

Rezkalla

et al. 2018

IEEE Trans. Power Syst.

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“…In addition, all loads can be aggregated into an equivalent load model to simplify the ASF model. It can be applied in applications such as spinning reserve allocation, load frequency control, etc [17,18].…”

Section: Asf Modelmentioning

confidence: 99%

Development approach of a programmable and open software package for power system frequency response calculation

Xie

Zhang

et al. 2017

Prot Control Mod Power Syst

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Dynamic behaviour of frequency is crucial for power system operation and control. Several frequency response models have been proposed to reveal frequency dynamics from different aspects. A comprehensive software package incorporating major frequency response models is needed for analysis and control of power system frequency dynamics. In this paper, an approach for developing a programmable and open software package for frequency response studies is proposed. The framework of the package is extendable with reduced frequency response models. Essential models for frequency response study are included, e.g., generator, load, and under-frequency load shedding (UFLS). The provided application program interfaces (APIs) enable simulation with high-level languages by calling dynamic link library and makes the package programmable. An advanced application module is developed for quantitative assessment of transient frequency deviation. APIs can also be used for model extension and secondary development. To demonstrate the usage of the package, several examples are illustrated to explain how to perform simulations with the package, and to perform advanced applications using scripting with the provided APIs.

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“…Several control technique for LFC were proposed in the many papers [22,23]. A design technique based on optimal pole shift theory to control a low-head hydro power plant connected as a single machine to an infinite bus (SMIB) system is presented in [24], which a state-space model with two-input and two-output variables is considered.…”

Section: Introductionmentioning

confidence: 99%

Power System Stabilizer Application for Load Frequency Control in Hydro-Electric Power Plant

Shahgholian¹

2017

IJTAM

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Abstract:Renewable energy provides 20% of electricity generation worldwide. Hydroelectric power is the cheapest way to generate electricity today. It provides almost onefifth of the electricity in world. Hydropower is produced in more than 150 countries. The main objective of this paper is modelling and analysis of the effects of the power system stabilizer (PSS) for load frequency control (LFC) system in hydro-electric power plant to damp the frequency oscillations due to different load distributions. LFC is the mechanism by which the energy balance is maintained. PSS is used to increase the system positive damping. The results of small signal stability analysis have been represented employing eigenvalue as well as time domain response.

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Load Frequency Control of a Multi-Area Power System: An Adaptive Fuzzy Logic Approach

Cited by 268 publications

References 26 publications

Tuningless Load Frequency Control Through Active Engagement of Distributed Resources

Tuningless Load Frequency Control Through Active Engagement of Distributed Resources

Development approach of a programmable and open software package for power system frequency response calculation

Power System Stabilizer Application for Load Frequency Control in Hydro-Electric Power Plant

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