A new robust PID load frequency controller

Khodabakhshian, Amin; Edrisi, Mehdi

doi:10.1016/j.conengprac.2007.12.003

Cited by 124 publications

(48 citation statements)

References 15 publications

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“…Typical data for the system parameters and governor limiters, for nominal operation conditions, are adopted from [10] and presented in Table 1.…”

Section: Power System Modelmentioning

confidence: 99%

“…Moreover, β i is a frequency bias constant and should be high enough such that each area adequately contributes to the frequency control [10].…”

Section: Power System Modelmentioning

confidence: 99%

“…A new optimal fuzzy logic-based proportional-integralderivative controller is presented in [9] to deal with the LFC problem. Moreover, some authors used fuzzy proportional-integral-derivative methods to solve the LFC problem [10,11].…”

Section: Introductionmentioning

confidence: 99%

“…More recently, there has been growing interest in artificial intelligence techniques, such as fuzzy logic control (FLC) [7][8][9][10][11][12][13], artificial neural network (ANN) [14,15], and biologically inspired algorithms [16][17][18], to design a load frequency controller in a power system by research around the world. Among these techniques, since fuzzy logic controllers provide an effective means to model and control a complex and ill-defined plant, many control strategies based on the FLC approach have been suggested and applied successfully regarding the loadfrequency control of power systems.…”

Section: Introductionmentioning

confidence: 99%

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Optimal fuzzy load frequency controller with simultaneous auto-tuned membership functions and fuzzy control rules

Zamani

Bijami²,

Sheikholeslam³

2014

Turk J Elec Eng & Comp Sci

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Abstract:In this paper, an auto-tuned fuzzy load frequency controller (FLFC)-based artificial bee colony (ABC) algorithm is developed to quench the deviations in the frequency and tie-line power due to load disturbances in an interconnected power system. Optimal tuning of membership functions (MFs) and fuzzy control rules is very important to improve the design performance and achieve a satisfactory level of robustness for a particular operation. In this work, to reduce the fuzzy system design effort and take large parametric uncertainties into account, a new systematic and simultaneous tuning method is developed for designing MFs and fuzzy rules. For this, the designing problem is restructured as an optimization problem and the ABC algorithm is employed to solve it. This newly developed method provides some advantages such as a flexible controller with a simple structure and easy algorithm. For the purpose of the proposed method's evaluation, the designed controller is applied to a 2-area power system with considerations regarding governor saturation and the results are compared to the one obtained by a classic proportional-integral controller.Simulation results show better operation and improved system parameters, such as the settling time and step response rise time, using the proposed approach, in the presence of system parameter variations.

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“…Typical data for the system parameters and governor limiters, for nominal operation conditions, are adopted from [10] and presented in Table 1.…”

Section: Power System Modelmentioning

confidence: 99%

“…Moreover, β i is a frequency bias constant and should be high enough such that each area adequately contributes to the frequency control [10].…”

Section: Power System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal fuzzy load frequency controller with simultaneous auto-tuned membership functions and fuzzy control rules

Zamani

Bijami²,

Sheikholeslam³

2014

Turk J Elec Eng & Comp Sci

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show abstract

“…Among them, the power plant boiler performance assessment, the unit maximum output as the boiler maximum continuous rating(BMCR) conditions, and manufacturers supply technical agreement is usually provided on the boiler does not allow more than BMCR operating conditions. This is because the overload operation, the flue gas radiation heat is likely to cause the heating surface burst pipe, and the amount of flue gas and fly ash fly ash flow rate is likely to cause damage to the heating surface, reducing boiler operation reliability and safety [4,5]. Therefore, the maximum allowable steam volume corresponding to the maximum generating power of the steam turbine should be consistent with the main steam flow rate of the BMCR.…”

Section: Control Rangementioning

confidence: 99%

Research and application of thermal power unit’s load dynamic adjustment based on extraction steam

Li¹,

Li²,

2018

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. The rapid development of heat and power generation in large power plant has caused tremendous constraints on the load adjustment of power grids and power plants. By introducing the thermodynamic system of thermal power unit, the relationship between thermal power extraction steam and unit's load has analyzed and calculated. The practical application results show that power capability of the unit affected by extraction and it is not conducive to adjust the grid frequency. By monitoring the load adjustment capacity of thermal power units, especially the combined heat and power generating units, the upper and lower limits of the unit load can be dynamically adjusted by the operator on the grid side. The grid regulation and control departments can effectively control the load adjustable intervals of the operating units and provide reliable for the cooperative action of the power grid and power plants, to ensure the safety and stability of the power grid.

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Data-Driven Fuzzy C-Means Equivalent Turbine-Governor for Power System Frequency Response

Barrios-Gomez

Sanchez

González-Longatt

et al. 2022

Soft Computing for Data Analytics, Classification Model, and Control

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This research paper proposes a turbine-governor modelling technique based on equivalent FCM (Fuzzy C-Means) for a control area of an equivalent power system used for frequency response analysis. The FCM algorithm implementation is proposed to find an equivalent Fuzzy model of n turbine-governors that are in an area of the electric power system (EPS). The FCM algorithm is mainly used to generate the rules for the fuzzy model;

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A new robust PID load frequency controller

Cited by 124 publications

References 15 publications

Optimal fuzzy load frequency controller with simultaneous auto-tuned membership functions and fuzzy control rules

Optimal fuzzy load frequency controller with simultaneous auto-tuned membership functions and fuzzy control rules

Research and application of thermal power unit’s load dynamic adjustment based on extraction steam

Data-Driven Fuzzy C-Means Equivalent Turbine-Governor for Power System Frequency Response

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