Optimal location of phase shifters in the French network by genetic algorithm

Paterni, P.; Vitet, S.; Bena, Michel; Yokoyama, Akihiko

doi:10.1109/59.744481

Cited by 116 publications

(37 citation statements)

References 1 publication

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“…Numerous investigates were made on the ideal allotment of Truths gadgets [27] [28]. 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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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%

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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“…To this purpose, there must be an adequate number of PSTs, they must be properly located so that the terms of the matrix relating tie-line power flows to phase angles are large enough, and the range of PST angles should be wide enough. These important aspects, to be decided at the planning stage, are out of scope of this paper [3], [26].…”

Section: B Controllability Of Transit Flow By Pstsmentioning

confidence: 99%

Minimal Reduction of Unscheduled Flows for Security Restoration: Application to Phase Shifter Control

Marinakis

Glavić

Cutsem

2010

IEEE Trans. Power Syst.

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Abstract-More and more transmission system operators, noticeably in Europe, equip their systems with phase shifting transformers to counteract transit flows that take place in a large meshed interconnection. This paper proposes algorithms for the coordinated control of several phase shifters by one operator with the objective of reducing the unscheduled flow through its system. Minimum reduction of unscheduled flow and minimum deviation with respect to present operating point are sought in order to minimize the trouble caused, while ensuring secure operation. Attention is paid to combining pre-and post-contingency controls. The resulting algorithms, simple and compatible with real-time applications, are illustrated on a realistic test system. Index Terms-Corrective control, correctively secure operation, optimal power flow, phase shifting transformer, preventive control, transit flow, unscheduled flow.

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“…A genetic algorithm has been addressed for optimal location of phase shifters in the French network to reduce the flows in heavily loaded lines, resulting in an increased loadability of the network and a reduced cost of production [49]. A genetic algorithm has been addressed for optimal location of multiple type FACTS controllers in a power system.…”

Section: Genetic Algorithm (Ga)mentioning

confidence: 99%

“…The various artificial intelligence (AI) based methods proposed in literature includes genetic algorithms (GA) [49]- [64], [175]- [176], [180], tabu search algorithms [65], [66], simulated annealing (SA) based approach [69]- [70], [177], particle swarm optimization (PSO) techniques [71]- [73], [80], artificial neural network (ANN) based algorithms [74]- [76], ant colony optimization (ACO) algorithms [77]- [78], graph search algorithms [79], fuzzy logic based approach [81]- [82], other techniques such as norm forms of diffeomorphism techniques [83], evolution strategies algorithms [84], [86], improved evolutionary programming [68], gravitational optimization techniques [85], benders decomposition techniques [42], augmented Lagrange multiplier approach [67], hybrid meta-heuristic approach [172], heuristic and algorithmic approach [178], energy approach [179].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Survey of Optimal Placement and Coordinated Control Techniques of FACTS Controllers in Multi-Machine Power System Environments

Singh¹,

Sharma²,

Tiwari³

2010

Journal of Electrical Engineering and Technology

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-This paper presents exhaustive review of various methods/techniques for coordinated control between FACTS controllers in multi-machine power systems. It also reviews various techniques/methods for optimal choice and allocation of FACTS controllers. Authors strongly believe that this survey article will be very much useful to the researchers for finding out the relevant references in the field of placement and coordination of FACTS Controllers.

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Optimal location of phase shifters in the French network by genetic algorithm

Cited by 116 publications

References 1 publication

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

Minimal Reduction of Unscheduled Flows for Security Restoration: Application to Phase Shifter Control

A Comprehensive Survey of Optimal Placement and Coordinated Control Techniques of FACTS Controllers in Multi-Machine Power System Environments

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