Multi objective design of type II fuzzy based power system stabilizer for power system with wind farm turbine considering uncertainty

Nakhi, Payam Rokni; Kamarposhti, Mehrdad Ahmadi

doi:10.1002/2050-7038.12285

Cited by 17 publications

(4 citation statements)

References 61 publications

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“…According to Figure 1, an increase in reactive power Q in a stable voltage system will increase the bus voltage. For an instable voltage system, an increase in reactive power Q leads to a decrease in the bus voltage [11][12][13][14][15].…”

Section: Figure 1 Q-v Curve Methodsmentioning

confidence: 99%

A Voltage Stability-Based Approach to Determining the Maximum Size of Wind Farms in Power Systems

Lorenzini¹,

Kamarposhti²,

Solyman³

2021

IJDNE

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Current methods to determine the wind farms maximum size do not consider the effect of new wind generation on the Voltage Stability Margins (VSMs). Installing wind power in one area may affect VSMs in other areas of the power system. Buses with high VSMs before wind power injection may be converted into weak buses after wind power injections in other parts of power systems, which may lead to limited future wind farms expansion in other areas. In this paper, two methods are proposed to determine two new wind farms maximum size in order to maximize wind power penetration level. In both methods, the size of any new wind farm is determined using an iterative process which is increased by a constant value. Proposed methods were used in the IEEE 14-bus power system. The results of applying these new methods indicate that the second method results in higher maximum sizes than the first method.

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Section: Figure 1 Q-v Curve Methodsmentioning

confidence: 99%

A Voltage Stability-Based Approach to Determining the Maximum Size of Wind Farms in Power Systems

Lorenzini¹,

Kamarposhti²,

Solyman³

2021

IJDNE

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“…In [52], the impact of uncertainty on a multi-machine power system with a high penetration rate of the WPP was investigated. The proposed solution is a Fuzzy Type II-based PSS1A aimed at reducing uncertainty and increasing the dynamic stability margin in the integrated system of a WPP multi-machine two areas.…”

Section: Introductionmentioning

confidence: 99%

Stability Improvement of Sulselrabar System With Integrated Wind Power Plant Using Multi-Band PSS3C Based Mayfly Optimization Algorithm

Ruswandi Djalal,

Robandi,

Almas Prakasa

2024

IEEE Access

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The introduction of additional controllers is essential in modern electric power systems to enhance their stability, particularly during disturbances. One effective method is the implementation of power system stabilizers (PSS). However, precise coordination of PSS equipment is necessary to determine the optimal locations and parameters. This study focuses on the optimal analysis of Multi-Band PSS3C (MB-PSS3C) coordination in integrated Wind Power Plant (WPP) systems in South, Southeast, and West Sulawesi (Sulselrabar). An artificial intelligence approach, utilizing the Mayfly Optimization Algorithm (MOA), is suggested for optimizing both the location and parameters of the PSS. Comparative investigations were conducted to assess the efficacy of MB-PSS3C in comparison with SB-PSS1A and MB-PSS2B, based on previous research. The performance analysis employed the time domain simulation method, reviewing the speed deviation response, field voltage response, PSS output voltage response, and rotor angle response for each generator. Eigenvalue analysis was performed for each control scheme. Load changes were applied to generators 1 (BAKARU) and 11 (WPP SIDRAP) to evaluate the performance of the system. The application of the MOA-based MB-PSS3C results in an increased damping ratio, improved speed response, and a more optimal rotor angle. MB-PSS3C provides a larger additional damping signal to the generator exciter, as indicated by the increase in the field voltage on the generator.

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“…A paper proposed grid integrated wind energy stability enhancement and its low-frequency oscillations to improve stability and dampen the local area oscillation by utilizing different types of controllers [2]. The uncertainty in a power system integrated with 300 MW wind energy was discussed [5]. The authors proposed PSS based fuzzy to improve the stability of the system.…”

Section: Introductionmentioning

confidence: 99%

Angular Stability Enhancement of Grid Integrated Wind Energy Using PSO to Optimize PSS

Al-Hinai

Vaithilingam

Alsakati

et al. 2023

J. Phys.: Conf. Ser.

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The majority of nations are making efforts to protect our planet by reducing emissions caused by the combustion of fossil fuels to create energy and increasing the production of green power from renewable energy sources. Wind energy is one of the renewable energy sources that is the least destructive to the environment and an efficient approach to reducing carbon emissions. Wind power is also one of the renewable energy sources that are the most cost-effective. However, even though wind energy has been employed for quite some time, there are still some challenges that this form of renewable energy must overcome, such as maintaining the stability of the power grid. The primary objective of this research is to enhance the transient stability of the power system by utilizing an optimized power system stabilizer (PSS) that has been improved. The purpose of this study is to investigate the effect that wind power has on the reliability of power systems that are outfitted with PSS and also to optimize the parameters of the PSS to increase the network’s reliability in two different domains. While PSS with the ST1A excitation system is utilized to reduce the transient period and peak value, oscillations of the generator’s speed deviation can be dampened. Through the management of the relative power angle stability of the network, the major objective of PSS is to enhance the performance of the system.

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Multi objective design of type II fuzzy based power system stabilizer for power system with wind farm turbine considering uncertainty

Cited by 17 publications

References 61 publications

A Voltage Stability-Based Approach to Determining the Maximum Size of Wind Farms in Power Systems

A Voltage Stability-Based Approach to Determining the Maximum Size of Wind Farms in Power Systems

Stability Improvement of Sulselrabar System With Integrated Wind Power Plant Using Multi-Band PSS3C Based Mayfly Optimization Algorithm

Angular Stability Enhancement of Grid Integrated Wind Energy Using PSO to Optimize PSS

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