Multiobjective Optimal Location of FACTS Shunt-Series Controllers for Power System Operation Planning

Ara, Afshin Lashkar; Kazemi, A.; Niaki, S.A. Nabavi

doi:10.1109/tpwrd.2011.2176559

Cited by 114 publications

(34 citation statements)

References 28 publications

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“…6, a positive sequence of 1.0 pu are specified in the sending end for the fundamental signal within the first 4 s as the previous state for normal conditions. In the time interval [4,7] s, a step of −0.05 pu is applied to the magnitude of the positive-sequence voltage, and in the interval [5,6] s, a further step of 0.08 pu of fifth harmonic with negative sequence is added to the 0.95 pu voltage, representing harmonic unbalanced voltage. Fig.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The HFC, also called dynamic flow controller [6] and developed by ABB Corporate Research, and its salient features such as cost effectiveness and simplicity makes it an alternative to the UPFC [5]. A multi-objective optimisation methodology to find its optimal location has been presented in [6]. Based on discrete event systems [7] and an improved strategy [8], some controllers have been designed to control the HFC.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Closed‐loop control system for an improved hybrid flow controller and its comparison with some hybrid devices

Soreshjani

Kargar

Niaki³

2015

IET Generation, Transmission & Distribution

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An improved configuration of the hybrid flow controller (HFC) is introduced to continuously adjust the power flow. In this configuration, a thyristor-controlled series capacitance (TCSC) is added to the conventional HFC to provide continuous variation in the HFC reactance. Moreover, simple closed-loop control methods are designed by considering all the practical constraints of TCSC for this improved HFC (IHFC) and another hybrid arrangement, which is called hybrid power flow controller. Furthermore, to compare and highlight features of the IHFC, simulation results of the designed controllers are carried out in different operating conditions and disturbances. This study also provides a quantitative comparison of various hybrid flexible AC transmission system devices.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Closed‐loop control system for an improved hybrid flow controller and its comparison with some hybrid devices

Soreshjani

Kargar

Niaki³

2015

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

show abstract

“…In [7]- [9], artificial bee colony algorithm is used to locate FACTS devices. To minimize average loadability to relieve overloads, a linear programming [10] and a non-linear programming [11] based optimal location of UPFCs are presented in the literature. A fuzzy [12] approach based optimal location of UPFC under network contingencies is simulated to improve system stability and security.…”

Section: Introductionmentioning

confidence: 99%

Improving Voltage Stability of Power System by Optimal Location of FACTS Devices Using Bio-Inspired Algorithms

Naganathan¹,

Vidhyapriya²

2016

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Power system operations can be optimized using power electronics based FACTS devices. The location of these devices at appropriate transmission line plays a major role in their performance. In this paper, two bio-inspired algorithms are used to optimally locate two FACTS devices: UPFC and STATCOM, so as to reduce the voltage collapse and real power losses. Particle swarm optimization and BAT algorithms are chosen as their behaviour is similar. VCPI index is used as a metric to calculate the voltage collapse scenario of the power system. The algorithm is tested on two benchmark power systems: IEEE 118 and the Indian UPSEB 75 bus system. Performance metrics are compared with the system without FACTS devices. Application of PSO and BAT algorithms to optimally locate the FACTS devices reduces the VCPI index and real power losses in the system.

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“…Therefore, multi-objective mathematical programming (MMP) [27,28] is employed to solve the multi-objective dynamic optimization of the ethylene cracking furnace. A simple pseudo-dynamic surrogate model is firstly proposed in the framework of the State Space Model to replace the complex free radical-based simulator in this paper.…”

Section: Introductionmentioning

confidence: 99%

Multi‐Objective Optimization of Pseudo‐Dynamic Operation of Naphtha Pyrolysis by a Surrogate Model

Jin

et al. 2015

Chem Eng & Technol

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A simple pseudo-dynamic surrogate model is developed in the framework of the state space model with the feed-forward neural network to replace the complex free radical pyrolysis model. The surrogate model is then applied to investigate the multi-objective optimization of two key performance objectives with distinct contradiction: the mean yields of key products and the day mean profits. The e-constraint method is employed to solve the multi-objective optimization problem, which provides a broad range of operation conditions depicting tradeoffs of both key objectives. The Pareto-optimal frontier is successfully obtained and five selected cases on the frontier are discussed, suggesting that flexible operations can be performed based on industrial demands.

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Multiobjective Optimal Location of FACTS Shunt-Series Controllers for Power System Operation Planning

Cited by 114 publications

References 28 publications

Closed‐loop control system for an improved hybrid flow controller and its comparison with some hybrid devices

Closed‐loop control system for an improved hybrid flow controller and its comparison with some hybrid devices

Improving Voltage Stability of Power System by Optimal Location of FACTS Devices Using Bio-Inspired Algorithms

Multi‐Objective Optimization of Pseudo‐Dynamic Operation of Naphtha Pyrolysis by a Surrogate Model

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