Using Artificial Bee Colony Algorithm for STATCOM sizing and placement to Prevent Voltage Instability on Pakistan Power System

Otuo-Acheampong, Duku; Rashed, Ghamgeen Izat; Haider, Hussain; Mensah, Akwasi Amoh

doi:10.1109/acpee53904.2022.9784011

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…Te literature shows some comparative studies of dynamic performance of aforementioned FACTS devices; for example, the authors in reference [4] compared the dynamic response and stability margin of SVC and STATCOM in weak and strong systems, the authors in reference [5] studied the infuence in dynamic voltage stability during LVRT in wind farms, the authors in references [6][7][8] compared SVC and STATCOM in dynamic reactive power support in diferent conditions (wind speed variation and grid fault) in wind turbines, while the authors in references [9][10][11][12] showed the importance of reactive power compensation to improve transient stability margin and power quality. When looking for applications of these FACTSs in electric power networks, the authors in reference [13] read up on the best location of a STATCOM in the Pakistan power system to improve voltage stability, the authors in reference [14] studied diferent voltage variations when the 100/145 MVAr FACTS is connected after the tripping of one overhead transmission line, the authors in reference [15] combined the D-STATCOM and a low THD SVC to enhance power quality, reducing voltage ficker and THD in a distribution grid, and the authors in reference [16] compared the dynamic performance of SVC and STAT-COM, showing reduction of the postdisturbance voltage recovery time after 3 phase faults. In reference [17], several series and shunt FACTS devices are combined in the Bangladesh power system to exploit the thermal limit but without the peculiarities of a mining installation.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Static VAR Systems for ImprovingVoltage Stability in Expansion of Mining Projects with Gearless Motor Drives

Rubio

Eguia

Iglesias

et al. 2023

International Transactions on Electrical Energy Systems

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In the next decade, the demand for copper is expected to grow by 25%, posing a challenge for mining facilities to increase their production by opening new mines or upgrading existing ones. To optimize the electrical infrastructure of mining facilities, the integration of flexible AC transmission systems (FACTSs) can be instrumental in mitigating voltage stability issues that may arise during the installation of new gearless motor drives (GMDs). The purpose of this paper is to conduct a comparative analysis of the dynamic performance of static VAR systems (SVSs) as a means of enhancing voltage stability in mining expansion projects, particularly in the context of the integration of new GMDs into the system. This paper presents a case study of an existing three crushing-line mine configuration that has been upgraded with two new GMD systems. The primary contribution of this research is a comprehensive methodology designed to enhance the stability of a mining system through the integration of an SVS, which includes the sizing of the SVS system, an analysis of costs, as well as a determination of the required installation surface and optimal placement of the SVS within the system. The simulation results conclusively demonstrate the effectiveness of the SVS systems in reducing the voltage drop by 2% upon activation of new GMDs, as well as mitigating the adverse impact of transient disturbances on the system. Specifically, the first oscillation voltage peak value is improved by 3.5%, following a three-phase short circuit of 1 second duration, while overvoltage is reduced by 1% in response to sudden load changes. When compared with the system without an installed SVS, these findings highlight the significant advantages and benefits of integrating SVSs into mining operations.

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Section: Introductionmentioning

confidence: 99%

A Comparative Study of Static VAR Systems for ImprovingVoltage Stability in Expansion of Mining Projects with Gearless Motor Drives

Rubio

Eguia

Iglesias

et al. 2023

International Transactions on Electrical Energy Systems

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Maximum power point tracking techniques using improved incremental conductance and particle swarm optimizer for solar power generation systems

Akwasi

Xie

Otuo-Acheampong

et al. 2023

Energy Harvesting and Systems

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The generation of power from solar energy by using Photovoltaic (PV) systems to convert the irradiation of the sun into electricity has been adopted over the past years. However, the PV system’s P–V and I–V characteristics become unstable when solar irradiation and temperature change. In this paper, the incremental conductance (INC) has been improved using signals to measure the current and voltage from the PV systems directly which quickly changes with the environmental conditions, and the conventional particle swarm optimization (PSO) is modified so that under multiple shaded peak PV array curves with fast-changing solar irradiance and temperature, more power is extracted at a faster rate without any tracking failure at high-speed tracking of both individual maximum power point (IMPP) and global maximum power point (GMPP) under varying solar irradiance and temperature at a longer distance to enhance the power generated. The individual and global coefficients are also improved to change with multiple shaded peak PV array curves with fast-changing solar irradiance and temperature. DC-DC converter converts DC power from one circuit to another and DC-AC inverter converts DC power to AC power. Simulation was carried out in MATLAB Simulink with different solar irradiance and temperature whereby the conventional INC and PSO were compared with the proposed INC and PSO. An experiment was carried out for a whole day from 8 am to 5 pm to test the validity of the proposed algorithm and compared it with the conventional INC and PSO by using the solar irradiance and temperature received. From both the simulation and experimental results, the proposed INC and PSO performed better by attaining high power and tracking speed with stable output results than the conventional INC and PSO.

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Using Artificial Bee Colony Algorithm for STATCOM sizing and placement to Prevent Voltage Instability on Pakistan Power System

Cited by 2 publications

References 10 publications

A Comparative Study of Static VAR Systems for ImprovingVoltage Stability in Expansion of Mining Projects with Gearless Motor Drives

A Comparative Study of Static VAR Systems for ImprovingVoltage Stability in Expansion of Mining Projects with Gearless Motor Drives

Maximum power point tracking techniques using improved incremental conductance and particle swarm optimizer for solar power generation systems

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