Optimal choice and allocation of FACTS devices in deregulated electricity market using genetic algorithms

Cai, Lijun; Erlich, I.; Stamtsis, Georgios C.

doi:10.1109/psce.2004.1397562

Cited by 248 publications

(201 citation statements)

References 10 publications

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“…Given that they are set at ideal areas, FACTS gadgets are able to do expanding the framework loadability excessively [27]. These perspectives are assuming an inexorably noteworthy part in the operation and control of the deregulated power market [22].…”

Section: Problem Domainmentioning

confidence: 99%

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A Critical Review on effect of Optimization on Variant parameters for FACTS Device

Dehariya¹,

Pathak²

2015

International Journal of Advanced Research in Computer and Comm

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Abstract:The demand of power system continuously increases day by day. So many problems are incurred also, like flow violation in transmission lines, voltage depression in busses, static/dynamic instabilities, voltage collapse and so on. The solution adopted by the maximum unity is the Flexible AC Transmission Systems (FACTS) devices. Most of the problem faces by us are minimized by the FACT devices but how we utilize the power of FACT devices is now a days a matter of concern. Because optimization is needed for control and efficient utilization of FACT devices. Therefore in this paper an analysis based on the previous research is being presented.

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Section: Problem Domainmentioning

confidence: 99%

“…Nonetheless, the venture expense of FACTS also their effect on offer bends of the business sector members (suppliers and purchasers) in changed power business sector are not entirely considered [22].…”

Section: Problem Domainmentioning

confidence: 99%

A Critical Review on effect of Optimization on Variant parameters for FACTS Device

Dehariya¹,

Pathak²

2015

International Journal of Advanced Research in Computer and Comm

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“…where p and q represent the number of TCSC and SVC respectively; c TCSC and c SVC represent the investment cost per kvar-installed of TCSC and SVC respectively [26,27]; x TCSC represents the series reactance by TCSC; b SVC represents the susceptance by SVC; i lk represents the active power flow through the transmission line; and v k represents the voltage magnitude at node i.…”

Section: Economic Constraintsmentioning

confidence: 99%

Optimal allocation of multi-type FACTS devices in power systems based on power flow entropy

Xiao

Cao

et al. 2014

J. Mod. Power Syst. Clean Energy

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Flexible AC transmission systems (FACTS) devices can effectively optimize the distribution of power flow. Power flow entropy can be applied as a measure of load distribution. In this paper, a method is proposed to optimize the distribution of power flow with the coordination of multi-type FACTS devices and establishes the corresponding mathematical models. The modified group searcher optimization (GSO) algorithm is proposed, in which the angle search is combined with chaotic search model to avoid jumping into local optimization. Compared with the different optimal allocation of multi-FACTS devices, the optimal allocation of multi-FACTS devices is achieved under the economic constraints. The locations obtained by this method can achieve the purpose of balancing power flow and enhancing the system performances. The simulations are demonstrated in an IEEE 118-bus power system with two classical types of FACTS, namely static var compensator (SVC) and thyristor controlled series Compensator (TCSC). The simulation results show that the proposed method is feasible and effective.

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“…Some of papers have been tried to find suitable location for FACTS devices to improve power system security and loadability [14][15][16][17]. Optimal allocation of these devices in deregulated power systems has been presented in [18][19].…”

Section: Fig 1 Considered Facts Devices (A) Tcsc (B) Svc (C) Upfcmentioning

confidence: 99%

Improvement of Voltage Profile and Reduce Power System Losses by using Multi Type Facts Devices

Rambabu¹,

Dr.Y.P.²,

Dr.Ch.³

2011

IJCA

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In emerging electric power systems, increased transactions often lead to the situations where the system no longer remains in secure operating region. The flexible Ac transmission system (FACTS) controllers can play an important role in the power system security enhancement. However, due to high capital investment, it is necessary to locate these controllers optimally in the power system. FACTS devices can regulate the active and reactive power control as well as adaptive to voltage-magnitude control simultaneously because of their flexibility and fast control characteristics. Placement of these devices in suitable location can lead to control in line flow and maintain bus voltages in desired level and so improve voltage stability margins.This paper proposes a systematic method by which optimal location of MUTI TYPE FACTS DEVICES to be installed. FACTS DEVICES model is incorporated into a NewtonRaphson algorithm to perform load flow analysis. Optimizing its location becomes a concern when coming to the practical implementation stage. Proposed algorithm is tested on IEEE 5 bus power system for optimal allocation of multi-type FACTS devices and results are presented.

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Optimal choice and allocation of FACTS devices in deregulated electricity market using genetic algorithms

Cited by 248 publications

References 10 publications

A Critical Review on effect of Optimization on Variant parameters for FACTS Device

A Critical Review on effect of Optimization on Variant parameters for FACTS Device

Optimal allocation of multi-type FACTS devices in power systems based on power flow entropy

Improvement of Voltage Profile and Reduce Power System Losses by using Multi Type Facts Devices

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