Optimal allocation of multi-type FACTS devices and its effect in enhancing system security using BBO, WIPSO &amp; PSO

Kavitha, K.; Neela, R.

doi:10.1016/j.jesit.2017.01.008

Cited by 67 publications

(35 citation statements)

References 8 publications

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“…Indices which relate variations in loading parameter with regards to reactive power control and variation in loading parameter with regards to the reactance of respective line for optimal siting of SVC and TCSC were introduced in [25]; however, a method for determining optimal coordination and sizing of these FACTS in the network was not discussed. A comparison between the bio-geography based optimizations (BPO), weights-improved PSO (WIPSO) and PSO for optimal allocations of various types of FACTS was presented in [26]. The optimal siting of TCSC, TCVAR, TCPST, and SVC controller in a power system to enhance voltage profile and to reduce real losses using GSA was presented in [27].…”

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

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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.

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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

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“…Therefore, a rule based controller for STATCOM is used to improve system damping for all load conditions. Kavitha and Neela [41] present a coordinated design of STATCOM which determines the controller design parameters using PSO optimization. An Equivalent Current Injection (ECI) model of STATCOM has been presented in Fig.6.…”

Section: Controlmentioning

confidence: 99%

Modeling, Control and Placement of FACTS Devices: A Review

Haroon

Javed

Baig

et al. 2020

Mehran Univ. res. j. eng. technol.

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Over the past two decades, developing distributed energy sources in electric power grid have created new challenges related to the power quality, voltage adjustment and proficient energy utilization. Power electronic converters are widely used to interface the emerging energy systems (without and with energy storage) and smart buildings with the transmission and distribution systems. Flexible Ac Transmission Systems (FACTS) and Voltage-Source Converters (VSC), with smart dynamic controllers, are emerging as stabilization and power filtering equipment to improve the power quality. FACTS devices are of vital significance for tackling the problem of voltage instability which is inevitable and leads to losses in transmission system networks. These devices provide fast voltage regulation, ensure system stability and reactive power compensation. In this regard, modeling, control and appropriate placement of these devices in the transmission lines have been of great importance for researchers of power transmission systems. By using high speed power electronic converters, FACTS perform many times faster than the conventional compensation techniques. FACTS not only provide fast voltage regulation but also damping of active power oscillations and reactive power compensation. Hence, they increase the availability and reliability of the power systems. But, the functioning of a FACTS device extremely reckons upon its parametric quantity, appropriate placement, and sizing in the power network. In this paper, an extensive literature survey is presented to discuss and investigate these parameters of FACTS devices.

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“…Many contributions were introduced for detecting the optimal size and location of certain FACTS devices to achieve certain objective functions. These contributions were achieved by many optimization techniques, like particle swarm optimization (PSO) and its modifications [2][3][4][5], biography-based optimization (BBO) [5], moth flame optimization (MFO) [6], gray wolf optimization (GWO) [7], improved harmony search (IHS) algorithm [8], cuckoo search algorithm (CSA) [9], teaching learning-based optimization (TLBO) [10,11], the dragonfly algorithm (DA) [12], and the Pareto envelope-based selection algorithm [13]. Also, some of the contributions involving FACTS devices were achieved by hybrid techniques, like the hybridizations between artificial bee colony (ABC) and the gravitational search algorithm (GSA) in [14]; differential evolution (DE) and BBO, known as the hybrid DE-based BBO algorithm, in [15]; and chemical reaction optimization (CRO) with quasi-oppositional-based optimization in [16].…”

Section: Introductionmentioning

confidence: 99%

Optimal SVC allocation in power systems using lightning attachment procedure optimization

Awad¹,

Kamel²,

Youssef³

2020

Turk J Elec Eng & Comp Sci

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Flexible AC transmission systems (FACTS) technology is widely adopted and utilized to maintain the performance of power systems. However, the improvements of power system performance achieved by FACTS devices depend on the right sizing and allocation of such devices. For technical and economic considerations, a FACTS device's location and size should be selected very carefully in order to maximize its benefits to the power system. In this paper, the sizing and location of a static VAR compensator (SVC) are optimally determined using a new optimization technique called lightning attachment procedure optimization (LAPO). The optimal allocation of the SVC is determined regarding the improvement of voltage deviation index and the reduction of total active power losses. The system is optimized in two cases: once without SVC installation in order to find out the optimal settings of the system that achieve the objective functions, and another time with SVC installation to determine its optimum sizes and locations by which the required objective functions are achieved. Then the system performance is analyzed after optimization with and without SVC devices to show the impact of the optimum sizing and location of the SVC on the system. The study is validated using the standard IEEE 30-bus system, while the developed LAPO is performed by MATLAB M-Files and the system performance analysis in different cases is performed by NEPLAN software.

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Optimal allocation of multi-type FACTS devices and its effect in enhancing system security using BBO, WIPSO & PSO

Cited by 67 publications

References 8 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

Modeling, Control and Placement of FACTS Devices: A Review

Optimal SVC allocation in power systems using lightning attachment procedure optimization

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