Optimal Sizing and Allocation of SVC and TCSC in Transmission Network by combined Sensitivity index and PSO

Nadeem, Muhammad Faisal; Zeb, Muhammad Zulqarnain; Imran, Kashif; Janjua, Abdul Kashif

doi:10.1109/icaem.2019.8853759

Cited by 9 publications

(3 citation statements)

References 14 publications

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“…The main reason for selecting these devices is because of their higher cost to benefit ratio as compared to other FACTS devices [39]. TCSCs compensate for the inductive reactance of the transmission line by series connection and shunt connected SVCs are used for voltage control applications [40]. An SVC device can absorb or inject the required quantity of reactive power by controlling the firing angle of its thyristor [41].…”

Section: Methodsmentioning

confidence: 99%

“…The proposed method for placement and sizing of FACTS devices is more compact, flexible and easy to implement as compared to other methodologies present in the literature. For instance, in [40] researchers have used the Fast Voltage Stability Index (FVSI) for the placement of TCSCs, however, as reactive power changes its results can become inaccurate and sub-optimal. Similarly, the authors of [34] have constructed PV curves of all load busses.…”

Section: Flow Chart For Placement and Sizing Of Factsmentioning

confidence: 99%

“…However, in a meshed network, where there are several interconnected buses, it is almost impossible to construct PV curves of all load buses to identify weak buses. In [40], researchers have calculated sensitivity indices for placement of TCSCs and SVCs by partial differentiating reactive power balance equation for the control parameter of respective FACTS device. Although this technique can give accurate results, implementing it on an extensive meshed system is very difficult.…”

Section: Flow Chart For Placement and Sizing Of Factsmentioning

confidence: 99%

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Ensuring Reliable Operation of Electricity Grid by Placement of FACTS Devices for Developing Countries

et al. 2021

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Flexible AC Transmission Systems (FACTS) are essential devices used for the efficient performance of modern power systems and many developing countries lack these devices. Due to the non-existence of these advanced technologies, the national grid remains weak and vulnerable to power stability issues that can jeopardize system stability. This study proposes novel research to solve issues of an evolving national grid through the installation of FACTS devices. FACTS devices play a crucial role in minimizing active power losses while managing reactive power flows to keep the voltages within their respective limits. Due to the high costs of FACTS, optimization must be done to discover optimal locations as well as ratings of these devices. However, due to the nonlinearity, it is a challenging task to find the optimal locations and appropriate sizes of these devices. Shunt VARs Compensators (SVCs) and Thyristor-Controlled Series Compensators (TCSCs) are the two FACTS devices considered for the study. Optimal locations for SVCs and TCSCs are determined by Voltage Collapse Proximity Index (VCPI) and Line Stability Index (Lmn), respectively. Particle Swarm Optimization (PSO) is employed to find the ideal rating for FACTS devices to minimize the system operating cost (cost due to active power loss and capital cost of FACTS devices). This technique is applied to IEEE (14 and 30) bus systems. Moreover, reliable operation of the electricity grid through the placement of FACTS for developing countries has also been analysed; Pakistan being a developing country has been selected as a case study. The planning problem has been solved for the present as well as for the forecasted power system. Consequently, in the current national network, 6.21% and 6.71% reduction in active and reactive power losses have been observed, respectively. Moreover, voltage profiles have been improved significantly. A detailed financial analysis covering the calculation of Operation Cost (OC) of the national grid before and after the placement of FACTS devices is carried out.

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Section: Methodsmentioning

confidence: 99%

Section: Flow Chart For Placement and Sizing Of Factsmentioning

confidence: 99%

Section: Flow Chart For Placement and Sizing Of Factsmentioning

confidence: 99%

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Ensuring Reliable Operation of Electricity Grid by Placement of FACTS Devices for Developing Countries

et al. 2021

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A novel approach for optimal allocation of series FACTS device for transmission line congestion management

Sarwar

Siddiqui

2020

Engineering Reports

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The reformed electricity market structure has forced the transmission network to operate near its operational limits. Due to competition in electricity market and with increasing demand, the probability of occurrence of congestion in transmission network has also increased. This resulted in insecure operation of power system and inefficient operation of the electricity market. The main aim of this article is to achieve efficient management of congestion in terms of minimum cost of electricity. This is accomplished by optimally allocating thyristor‐controlled series capacitor (TCSC) in the system. Since flexible alternating current transmission system (FATCS) devices involve heavy installation cost, its proper allocation plays a vital role in achieving the electricity market economics. Therefore, in this article, a new sensitivity index called line flow sensitivity factor is proposed to find the optimal location of TCSC while its control parameter setting is optimally obtained with particle swarm optimization algorithm. The obtained results are validated through implementation of TCSC based on its minimum installation cost. Further, two different penalty factors for violation of system constraints are also introduced in the problem formulation to effectively consider the competitive nature of the electricity market. The proposed method is tested on IEEE 30‐bus system, IEEE 118‐bus system, and 33‐bus Indian network and the results are found to be encouraging. The performance of the optimization algorithm on different systems is also analyzed in this article.

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Optimal sizing and placement of STATCOM, TCSC and UPFC using a novel hybrid genetic algorithm-improved particle swarm optimization

Ngei,

Nyete,

Moses

et al. 2024

Heliyon

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Optimal Sizing and Allocation of SVC and TCSC in Transmission Network by combined Sensitivity index and PSO

Cited by 9 publications

References 14 publications

Ensuring Reliable Operation of Electricity Grid by Placement of FACTS Devices for Developing Countries

Ensuring Reliable Operation of Electricity Grid by Placement of FACTS Devices for Developing Countries

A novel approach for optimal allocation of series FACTS device for transmission line congestion management

Optimal sizing and placement of STATCOM, TCSC and UPFC using a novel hybrid genetic algorithm-improved particle swarm optimization

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