Impact of hybrid FACTS devices on the stability of the Kenyan power system

Mbae, Mutegi; Nwulu, Nnamdi

doi:10.11591/ijece.v12i1.pp12-21

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…Technically, the OPF problems can be solved by placing different types of flexible alternating current transmission system devices (FACTS). Through experiments, the proper placement of a particular type of FACTS device, such as unified power flow controllers (UPFC) [26] or static synchronous series compensators (SSSC) [27], has brought many positive effects to power system operation, including improving the utilization of the current transmission system, increasing the reliability and availability of the grid, and enhancing the overall power quality. Recently, renewable energy sources such as wind and solar energy have also been evaluated while solving the optimal power flow problems as implemented in [28]- [32].…”

Section: Issn: 2302-9285 mentioning

confidence: 99%

Skill optimization algorithm for solving optimal power flow problem

Hien,

Duong,

Pham

2024

Bulletin EEI

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This research presents the implementation of a modern meta-heuristic algorithm called the skill optimization algorithm (SOA) to solve the optimal power flow problem (OPF). An IEEE 30-bus transmission system is selected to test the real performance of SOA. The main objective function of the study is to minimize the total fuel cost (TFC) of all thermal units. To clarify the high performance of SOA, a classical meta-heuristic named particle swarm optimization (PSO) is also applied for comparison. All results reached by SOA are compared with those of PSO on different criteria. Particularly, SOA has reached smaller cost than PSO by $1.04, equivalent to 0.13% of PSO’s TFC. Furthermore, SOA has reached a more stable performance by finding better average and maximum TFC over fifty runs. The evaluation of these criteria indicates that SOA completely outperforms PSO. Besides, the optimal solution reached by SOA satisfies all considered constraints with zero violation of the dependent variables. Therefore, SOA is highly suggested to handle the OPF problem.

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Section: Issn: 2302-9285 mentioning

confidence: 99%

Skill optimization algorithm for solving optimal power flow problem

Hien,

Duong,

Pham

2024

Bulletin EEI

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“…FACTS gain its acceptability because it can improve transmission system operation and control, reduce investment cost, increase system security and reliability, increase power transfer capabilities and enhance the quality of electrical energy delivered to end-users (Adebisi et al, 2018;Asare et al, 1994;Jokojeje et al, 2015a;Jokojeje et al, 2015b). A survey of literature has shown that the FACTS family comprises various members including interline power flow controller (IPFC), static synchronous series compensator (SSSC), static var compensator (SVC), thyristor controlled series capacitor (TCSC) and unified power flow controller (UPFC) with unique qualities that adapt them suitably to the applications in which they are employed (Fadadu & Lotiya 2016;Garg & Khan 2020;Gupta & Pahariya 2017;Mbae & Nwulu 2022;Praveen et al 2016;Sharan et al, 2019). On this account, several investigations have been conducted on the potentials of these controllers for power system transient stability enhancement with some promising outcomes (Barua et al, 2021;Fathollahi et al, 2022;Ghaedi et al, 2021;Gurijala et al, 2021;Singh & Singh, 2022;Shrivastava et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Application of Static Synchronous Compensator for Improvement of Power System Transient Stability

2024

AJBAR

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Transient stability is the power system’s ability to maintain synchronism when exposed to severe disturbances such as loss of generation, rapid load changes, transmission lines tripping, switching operations and faults. Transient instability causes cascading outages, system collapse and economical losses. This study employed static synchronous compensator (STATCOM) for power system transient stability improvement. The system’s steady state and transient responses were respectively modelled with Newton-Raphson power flow and modified-Euler linearized swing equations. A balanced three-phased short circuit fault was introduced on selected buses for transient stability analysis. The steady state and transient responses of the system were simulated with and without STATCOM. The critical fault clearing time (CFCT) was obtained from the generators’ swing curves. The IEEE 9-bus and 14-bus power networks were used as test cases. The voltage magnitudes of all buses in both networks fell within the specified 0.95 to 1.1 p.u. voltage limit with and without compensation. The total active line loss on IEEE 9-bus and 14-bus networks which were 4.641 and 13.514 MW without compensation reduced to 4.600 and 13.014 MW, respectively with STATCOM’s application. The total reactive line losses of both networks which were 92.160 and 31.393 MVAr without compensation decreased to 90.160 and 30.693 MVAr, respectively with STATCOM’ utilization. The CFCT for fault on bus 8 of the IEEE 9-bus system without compensation were 0.2100 and 0.2700 s for generators 2 and 3, respectively. The system’s stability was, however, extended beyond 0.2700 s due to compensation from STATCOM. In the case of IEEE 14-bus system, the CFCT for fault on bus 6 was 0.36364 s for generators 2, 3, 4 and 5, respectively without compensation. The STATCOM inclusion, however, enhanced the system’s stability beyond 0.36366 s where all the four had lost synchronism. This work established that the use of STATCOM on the considered networks appropriately extended the CFCT such that the stability of the systems was not lost in the event of fault application via robust compensation of reactive power.

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“…It is true that in recent years, the security of transport networks has become one of the major challenges of the future, considering the potential economic and societal impacts of major incidents. With the competitive aspect linked to deregulation and the difficulty of building new structures, operators are increasingly looking to optimize their infrastructure and architectural equipment, as well as to improve the management of energy transfers, real-time monitoring, and control [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Optimized FACTS Devices for Power System Enhancement: Applications and Solving Methods

et al. 2023

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The use of FACTS devices in power systems has become increasingly popular in recent years, as they offer a number of benefits, including improved voltage profile, reduced power losses, and increased system reliability and safety. However, determining the optimal type, location, and size of FACTS devices can be a challenging optimization problem, as it involves mixed integer, nonlinear, and nonconvex constraints. To address this issue, researchers have applied various optimization techniques to determine the optimal configuration of FACTS devices in power systems. The paper provides an in-depth and comprehensive review of the various optimization techniques that have been used in published works in this field. The review classifies the optimization techniques into four main groups: classical optimization techniques, metaheuristic methods, analytic methods, and mixed or hybrid methods. Classical optimization techniques are conventional optimization approaches that are widely used in optimization problems. Metaheuristic methods are stochastic search algorithms that can be effective for nonconvex constraints. Analytic methods involve sensitivity analysis and gradient-based optimization techniques. Mixed or hybrid methods combine different optimization techniques to improve the solution quality. The paper also provides a performance comparison of these different optimization techniques, which can be useful in selecting an appropriate method for a specific problem. Finally, the paper offers some advice for future research in this field, such as developing new optimization techniques that can handle the complexity of the optimization problem and incorporating uncertainties into the optimization model. Overall, the paper provides a valuable resource for researchers and practitioners in the field of power systems optimization, as it summarizes the various optimization techniques that have been used to solve the FACTS optimization problem and provides insights into their performance and applicability.

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Impact of hybrid FACTS devices on the stability of the Kenyan power system

Cited by 3 publications

References 22 publications

Skill optimization algorithm for solving optimal power flow problem

Skill optimization algorithm for solving optimal power flow problem

Application of Static Synchronous Compensator for Improvement of Power System Transient Stability

Optimized FACTS Devices for Power System Enhancement: Applications and Solving Methods

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