Optimal setting of FACTS devices for voltage stability improvement using PSO adaptive GSA hybrid algorithm

Inkollu, Sai Ram; Kota, Venkata Reddy

doi:10.1016/j.jestch.2016.01.011

Cited by 76 publications

(40 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A hybrid group search optimization technique was utilized for the optimal siting of UPFC to enhance voltage profile and improve ATC in [21]. In [22], the authors proposed PSO and adaptive GSA algorithm for optimum allocation of FACTS for enhancing voltage stability. FACTS devices considered were SVC and UPFC.…”

Section: Facts Device Real Power Flowmentioning

confidence: 99%

Optimal Placement, Sizing and Coordination of FACTS Devices in Transmission Network Using Whale Optimization Algorithm

et al. 2020

View full text Add to dashboard Cite

Flexible AC Transmission Systems (FACTS) play an important role in minimizing power losses and voltage deviations while increasing the real power transfer capacity of transmission lines. The extent to which these devices can provide benefits to the transmission network depend on their optimal location and sizing. However, finding appropriate locations and sizes of these devices in an electrical network is difficult since it is a nonlinear problem. This paper proposes a technique for the optimal placement and sizing of FACTS, namely the Thyristor-Controlled Series Compensators (TCSCs), Shunt VARs Compensators (SVCs), and Unified Power Flows Controllers (UPFCs). To find the optimal locations of these devices in a network, weak buses and lines are determined by constructing PV curves of load buses, and through the line stability index. Then, the whale optimization algorithm (WOA) is employed not only to find an ideal ratings for these devices but also the optimal coordination of SVC, TCSC, and UPFC with the reactive power sources already present in the network (tap settings of transformers and reactive power from generators). The objective here is the minimization of the operating cost of the system that consists of active power losses and FACTS devices cost. The proposed method is applied to the IEEE 14 and 30 bus systems. The presented technique is also compared with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The findings showed that total system operating costs and transmission line losses were considerably reduced by WOA as compared to existing metaheuristic optimization techniques.

show abstract

Section: Facts Device Real Power Flowmentioning

confidence: 99%

Optimal Placement, Sizing and Coordination of FACTS Devices in Transmission Network Using Whale Optimization Algorithm

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Therefore, a power system with continuous monitoring and instability prediction is urgently needed. Some of the many approaches in the literature reported to overcome the instability phenomenon include reactive power compensation, network loadability improvement, network re-configuration, and optimally distributed generation [9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

A Recap of Voltage Stability Indices in the Past Three Decades

et al. 2019

View full text Add to dashboard Cite

Increasing demand for electricity and the modernization of power systems within competitive markets has induced power systems to operate close to their stability limits. Therefore, the continuous monitoring and control of power systems through voltage stability indices is urgently needed. This is the first-ever effort to examine more than 40 voltage stability indices based on their formulation, application, performance, and assessment measures. These indices are sorted based on a logical and chronological order considering the most recent indices to be applied worldwide. However, the generalizability of these indices in terms of multivariable objectives is limited. Despite its limitation, this study systematically reviews available indices in the literature within the past three decades to compile an integrated knowledge base with an up-to-date exposition. This is followed by a comparative analysis in terms of their similarity, functionality, applicability, formulation, merit, demerit, and overall performance. Also, a broad categorization of voltage stability indices is addressed. This study serves as an exhaustive roadmap of the issue and can be counted as a reference for planning and operation in the context of voltage stability for students, researchers, scholars, and practitioners.

show abstract

“…Existence of transmission system constraints dictates a finite amount of power that can be transferred between two points on the electric grid. In practice, it may not be possible to deliver the all bilateral and multilateral contracts in full and to supply all pool demand at low cost as it leads to violation of operating constraints such as voltage limits and line overloads [2]. In such stressful and tensional environment, power system congestion and voltage instability can be emerged as major threats that the system operators (SOs) may be faced with them.…”

Section: Introductionmentioning

confidence: 99%

Locating Hybrid Power Flow Controller in a 30-Bus System Using Chaotic Evolutionary Algorithm to Improve Power System Stability

Dr.B.¹,

Kalyanasundaram²,

Pradeepa³

et al. 2018

BIJSESC

View full text Add to dashboard Cite

show abstract

Optimal setting of FACTS devices for voltage stability improvement using PSO adaptive GSA hybrid algorithm

Cited by 76 publications

References 12 publications

Optimal Placement, Sizing and Coordination of FACTS Devices in Transmission Network Using Whale Optimization Algorithm

Optimal Placement, Sizing and Coordination of FACTS Devices in Transmission Network Using Whale Optimization Algorithm

A Recap of Voltage Stability Indices in the Past Three Decades

Locating Hybrid Power Flow Controller in a 30-Bus System Using Chaotic Evolutionary Algorithm to Improve Power System Stability

Contact Info

Product

Resources

About