Impact of load models on the static and dynamic performances of grid-connected wind power plants: A comparative analysis

EL-Shimy, M.; Mostafa, Noha; Afandi, Arif Nur; Sharaf, A.Μ.; Attia, Mahmoud A.

doi:10.1016/j.matcom.2018.02.003

Cited by 25 publications

(10 citation statements)

References 28 publications

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“…A model can also be also used to plan the amount of evaluation required to meet desired levels in various fields [1]- [5]. In addition, the model is used to find the optimal allocation of the UC among the various generators available to serve the load [8]- [11], [34], [36]- [38]. Recently, many strategies are developed to explore a UC considering the fuel cost, emission, transmission line losses, weighting factors, and others [5], [23]- [25].…”

Section: Methods and Approachmentioning

confidence: 99%

“…In these works, the UC covers ED and EmD problems as discussed in [6], [12]- [14] and integrated to become an economic and emission dispatch (EED) problem under operational limitations [14], [25], [39]- [41]. Furthermore, many works have used the EED to describe some economical measurements on the desirable targets [4], [14], [38], [42], [43]. In these studies, the EED is formulated using mathematical statements for defining the objective function and technical constraints [6], [10], [26], [39] considering the IEEE-62 bus system as a sample model of the power system.…”

Section: Methods and Approachmentioning

confidence: 99%

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Combined Computational Intelligence Approach for the Power System Optimization Problem

Afandi¹,

Fadlika²,

Gumilar³

et al. 2018

EECSI

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A power system optimization is one of the major problems in the operating performances of the existing system. This problem takes place on the various technical cases to get optimal conditions of the system. Moreover, many approaches have been implemented to carry out the solution under operational constraints. This paper presents Thunderstorm Algorithm (TA) and Artificial Salmon Tracking Algorithm (ASTA) for defining the optimal strategy of the power system optimization based on the unit commitment. Both algorithms are tested on the IEEE-62 bus system, whereas, results show that ASTA and TA can be combined together to solve the power system problem. These algorithms have been applied to predict the power consumption and it has good performances while searching for the optimal solution. These results also show that the economic dispatch problem is conducted to the power production while the algorithm is performed in good characteristics.

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Section: Methods and Approachmentioning

confidence: 99%

Section: Methods and Approachmentioning

confidence: 99%

Combined Computational Intelligence Approach for the Power System Optimization Problem

Afandi¹,

Fadlika²,

Gumilar³

et al. 2018

EECSI

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“…The dynamic non-linear load is chosen as the load shifting creates a huge impact on the behaviour of the power system. 29 The generated power by the DFIG generator has been fed to the grid through the inductive filter L f − C f . The function of the inductive filter is to supply quasi-sinusoidal output voltage to the grid network.…”

Section: Investigated System Modelling and Descriptionmentioning

confidence: 99%

“…In recent times, the control strategy for the pitch actuator is achieved by various control techniques, such as conventional proportional–integral (PI) control method, fuzzy logic control method, hybrid control method, generalized predictive control method and neural network control method. 21–29 These control methods make sure that the generated power output of the WPGS pursues the command value determined and offers steady output power. 21 In order to satisfy the energy constraints, a suitable control strategy must be provided to the WPGS.…”

Section: Introductionmentioning

confidence: 99%

Automated power management strategy for wind power generation system using pitch angle controller

Sitharthan¹,

Sundarabalan

Devabalaji

et al. 2019

Measurement and Control

141

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In this literature, a new automated control strategy has been developed to manage the power supply from the wind power generation system to the load. The main objective of this research work is to develop a fuzzy logic-based pitch angle control and to develop a static transfer switch to make power balance between the wind power generation system and the loads. The power management control system is a progression of logic expressions, designed based on generating power and load power requirement. The outcome of this work targets at an improved power production, active and reactive power compensation and ensures system load constraints. To validate the proposed control strategy, a detailed simulation study is carried out on a 9-MW wind farm simulation simulated in MATLAB/Simulink environment.

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“…Interference in the electric power system is the discharge of one or more channels or components [7] - [9]. These disturbances can cause overload so that the electric power system cannot supply the power should the system stack [5], [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Contingency Analysis on 150 kV Electricity Power System on The Madura Island Based on The 1P1Q Method

Falah¹,

Sujito²,

Wirawan³

2021

Atlantis Highlights in Engineering

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A major factor in the power system operation is the desire to maintain system security. System security involves a design to keep the system operating in the event of interference or failure. Interferences in electrical power systems are divided into generator, transmission, and load. Failure or interference of the transmission network results in a contingency of the transmission lines that can cause voltage in the bus and overload in the transmission lines, so it is very necessary to overcome the problem with a contingency analysis simulation to find solutions to problems caused by the disconnection of the transmission line. One of the contingency analysis methods is the 1P1Q (performance contingency index) method where the 1P1Q method lists the worst contingency impact on the electric power system to help engineers to solve problems and determine their next steps when contingencies occur. In the study, the Newton raphson's methods were used to determine the power flow in electrical systems at normal conditions or contingency. Calculating the value of the contingency index in times of interference or failure using the 1P1Q method. The results show that the worst impact or highest-ranking performance index for the Madura 150 kV electric power system occurs in the infinity-base scenario where two lines are overloaded and exceed the maximum value limit of the transmission line power of the infinity-gilitimur channel of 157.5 MW with a maximum value limit transmission line of 92,359 MW and gilitimur-bangkalan of 149 MW with a maximum value limit of transmission line of 88,616 MW. So there is prevention with load shedding of 87,638 MVA with scenario 6 in table 4:24 of load shedding on the bus Sampang, Sumenep, Pamekasan because by shedding loads of 95,528 MVA the power flowing at infinity-gilitimur becomes 72.9 MW.

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Impact of load models on the static and dynamic performances of grid-connected wind power plants: A comparative analysis

Cited by 25 publications

References 28 publications

Combined Computational Intelligence Approach for the Power System Optimization Problem

Combined Computational Intelligence Approach for the Power System Optimization Problem

Automated power management strategy for wind power generation system using pitch angle controller

Contingency Analysis on 150 kV Electricity Power System on The Madura Island Based on The 1P1Q Method

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