Power system optimization approach to mitigate voltage instability issues: A review

Adegoke, Samson Ademola; Sun, Yuqing

doi:10.1080/23311916.2022.2153416

Cited by 20 publications

(3 citation statements)

References 184 publications

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“…Environmental and economic factors are two leading causes for establishing a new transmission line (TL). As the load increases, the system is heavily loaded, and maintaining stability becomes difficult; thus, the system operates close to the instability point [5][6][7][8]. Evaluation of system stability is based on the node/bus voltage profile.…”

Section: Introductionmentioning

confidence: 99%

Minimization of Active Power Loss Using Enhanced Particle Swarm Optimization

Adegoke,

Sun,

Wang

2023

Mathematics

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Identifying the weak buses in power system networks is crucial for planning and operation since most generators operate close to their operating limits, resulting in generator failures. This work aims to identify the critical/weak node and reduce the system’s power loss. The line stability index (Lmn) and fast voltage stability index (FVSI) were used to identify the critical node and lines close to instability in the power system networks. Enhanced particle swarm optimization (EPSO) was chosen because of its ability to communicate with better individuals, making it more efficient to obtain a prominent solution. EPSO and other PSO variants minimized the system’s actual/real losses. Nodes 8 and 14 were identified as the critical nodes of the IEEE 9 and 14 bus systems, respectively. The power loss of the IEEE 9 bus system was reduced from 9.842 MW to 7.543 MW, and for the IEEE 14 bus system, the loss was reduced from 13.775 MW of the base case to 12.253 MW for EPSO. EPSO gives a better active power loss reduction and improves the node’s voltage profile than other PSO variants and algorithms in the literature. This suggests the feasibility and suitability of EPSO to improve the grid voltage quality.

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Section: Introductionmentioning

confidence: 99%

Minimization of Active Power Loss Using Enhanced Particle Swarm Optimization

Adegoke,

Sun,

Wang

2023

Mathematics

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“…Voltage instability can result from a number of factors, including increased load demand, imbalanced load, disturbance, and changing system circumstances. Voltage instability may result from each bus having insufficient reactive power (3)(4)(5) . The aim of this study is to assess how well FACTS controller can recover system voltage in load side a metropolitan area by implementing a reactive power compensation approach (6) .…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Various FACTS Controllers Used for Voltage Stability Improvement in Power System

Chavhan,

Amalraj,

Singh

et al. 2023

IJST

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Background:In order to maintain a reliable and safe electrical grid, voltage stability is considered as a crucial component of power system. The incorporation of Static Compensator (STATCOM) has been a viable approach in recent times to improve voltage stability and alleviate problems related to voltage instability. Methodology: An extensive investigation of the effects of FACTS devices is included in this article, including STATCOMs, on voltage stability within power systems. Mathematical modelling and simulated Doubly Fed Induction Generator (DFIG) based wind turbine is integrated with IEEE-9 bus in MATLAB2020. Finding: This study employs an advanced modelling and simulation technique to assess the performance of STATCOM in various scenarios, considering different fault conditions and contingencies. Overall work is implemented in MAT-LAB2020. Simulation results are obtained in the terms of voltage profile, reactive power, wind voltage and active power. The values of the parameters before fault is obtained with a reactive power of -33.44 MVAR and voltage of -0.5586 V. After fault, the reactive power is measured as -85.38 MVAR and Voltage is increased to -0.1766 V. Finally, by using STATCOM, the reactive power is reduced to -30.29 MVAR and Voltage -0.5690 V. Further the obtained results are evaluated and compared with the other approaches. Additionally, the paper investigates the optimal placement of STATCOM at load side to maximise their effectiveness in voltage stability enhancement. Novelty and Application: This study contributes a valuable knowledge to power system operators, planners, and researchers, facilitating the informed decisions for the integration and utilisation of STATCOM technologies to ensure the robustness and reliability of modern electrical grids.

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“…Considering these challenges, this study motivates future research into how the optimal reactive power dispatch (ORPD) is important for the optimal power flow (OPF), which dramatically impacts the system's security, operation, and economy. The objective of the ORPD is to redistribute the reactive power, which diminishes the system's active power loss while improving the voltage profile and maintaining the constraints [1][2][3]. The control variables provided by the ORPD are the generator voltage magnitude, shunt capacitors, and transformer tap settings.…”

Section: Introductionmentioning

confidence: 99%

Diminishing Active Power Loss and Improving Voltage Profile Using an Improved Pathfinder Algorithm Based on Inertia Weight

Adegoke

Sun

2023

Energies

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Part of the widely discussed problem in electrical power systems is the optimal reactive power dispatch (ORPD) due to its reliability and economical operation of electrical power systems. The ORPD is a complex and nonlinear optimization problem. The pathfinder algorithm (PFA) is a newly developed algorithm that inspires the group movement of prey with a leader called a pathfinder when hunting for food. The inertia weight is added to the PFA and is called an improved pathfinder algorithm (IPFA) to support the proper random work of the swarm to avoid the decrease in searchability of the PFA. The IPFA was proposed in this work to diminish the active power loss while improving the voltage profile. The IPFA was validated on the IEEE 30 and 118 bus systems along with particle swarm optimization (PSO) and the teaching–learning-based optimizer (TLBO). The proposed IPFA provides the best result as the losses of the IEEE 30 and 118 test systems were reduced to 16.035 and 115.048 MW from the initial base of 17.89 and 132.86 MW, respectively. The losses of PSO and the TLBO were 16.1568 and 16.1607 MW for the IEEE 30 bus system, respectively, while for the IEEE 118 bus system, the PSO provided 117.9129 MW and the TLBO provided 118.0524 MW. The two test systems’ reduction percentages (%) were 10.37% and 13.41%, respectively. The results were compared with those of other algorithms in the literature, and the IPFA provided a superior result, thereby suggesting the superiority of IPFA methods in diminishing the power loss and improving the system’s voltage profile.

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Power system optimization approach to mitigate voltage instability issues: A review

Cited by 20 publications

References 184 publications

Minimization of Active Power Loss Using Enhanced Particle Swarm Optimization

Minimization of Active Power Loss Using Enhanced Particle Swarm Optimization

Performance Analysis of Various FACTS Controllers Used for Voltage Stability Improvement in Power System

Diminishing Active Power Loss and Improving Voltage Profile Using an Improved Pathfinder Algorithm Based on Inertia Weight

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