A hybrid particle swarm optimization applied to loss power minimization

Esmin, Ahmed Ali Abdalla; Lambert‐Torres, Germano; Souza, Antônio Carlos Zambroni de

doi:10.1109/tpwrs.2005.846049

Cited by 398 publications

(177 citation statements)

References 18 publications

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“…Then, referring to [54,55], with the Jacobian matrix, the changes of the state variables can be evaluated by the tangent vector as follows: …”

Section: Tangent Vector Technique (Tvt)mentioning

confidence: 99%

“…Then, referring to [54,55], with the Jacobian matrix, the changes of the state variables can be evaluated by the tangent vector as follows: The algorithm works by successively assigning flow f (a ij ) to arcs along a directed path from s to t until no more flow can be added. The main steps for the MCA may be constructed below:…”

Section: Tangent Vector Technique (Tvt)mentioning

confidence: 99%

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A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) Devices

et al. 2017

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Abstract:Increasing demand for electricity has placed heavy stress on power system security. Therefore, this paper focuses on the problem of how to maximize power system static security in terms of branch loading and voltage level under normal operation and even the most critical single line contingency conditions. This paper proposes a hybrid approach to find out the optimal locations and settings of two classical types of flexible AC transmission system (FACTS) devices, namely thyristor-controlled series compensators (TCSCs) and static var compensators (SVCs) for solving this problem. Our proposed approach requires a two-step strategy. Firstly, the min cut algorithm (MCA) and tangent vector technique (TVT) are applied to determine the proper candidate locations of TCSC and SVC respectively so as to reduce the search scope for a solution to the problem, and then the cuckoo search algorithm (CSA) is employed to solve this problem by simultaneously optimizing the locations and settings for TCSC and SVC installation. The proposed hybrid approach has been verified on the IEEE 6-bus and modified IEEE 14-bus test systems. The results indicate that CSA outperforms particle swarm optimization (PSO), proving its effectiveness and potential, and they also show that our proposed hybrid approach can find the best locations and settings for TCSC and SVC devices as an effective way for enhancing power system static security by removing or alleviating the overloads and voltage violations under normal operation and even the most critical single line contingency conditions. Using this hybrid approach, the search space for solution to the problem becomes limited hence the computational burden will be decreased.

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“…Then, referring to [54,55], with the Jacobian matrix, the changes of the state variables can be evaluated by the tangent vector as follows: …”

Section: Tangent Vector Technique (Tvt)mentioning

confidence: 99%

Section: Tangent Vector Technique (Tvt)mentioning

confidence: 99%

A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) Devices

et al. 2017

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“…Also the frog with the global best fitness Xg is identified, and then the position of the worst frog Xw for the memplex is adjusted such as (10) and (11). Fig.5.…”

Section: Fig3 Memeplex Partitioning Processmentioning

confidence: 99%

“…To eliminate this problem evolutionary techniques have been applied in solving the OPF problem [10], [11] like particle swarm optimization (PSO) to the problem of OPF.…”

Section: Introductionmentioning

confidence: 99%

Real Power Loss Minimization and Voltage Stability Limit Enhancement by Using Shuffled Frog Leap Algorithm

Chennaiah¹,

Kishore²,

Suryakalavathi³

2014

IOSRJEEE

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“…The classical techniques of OPF solution has the disadvantage that they are sensitive to starting points and leading monotonic solution. the problem has to eliminate by using evolutionary techniques has been applied for solving the OPF problem [10], [11] like particle swarm optimization (PSO) to the problem of OPF. In this paper a new evolutionary algorithm known as Shuffled Frog Leap algorithm (SFLA) is used to solve the combined problem of CPF-OPF for real power loss minimization and VSL maximization of the system.…”

Section: Iintroductionmentioning

confidence: 99%

Optimal Location of UPFC to Optimize the Real Power Losses and Voltage Stability Limit by Using Modified Shuffled Frog Leap Algorithm

A.Hemasekhar¹,

M.Chethan²

2014

IJAREEIE

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This paper deals with the Optimal location and control of a unified power flow controller (UPFC) along with transformer taps are tuned to simultaneously optimize the voltage stability limit (VSL) and real power losses of a radial power system network. This problem is deals with a nonlinear equality and inequality constrained optimization problem with an objective function incorporating both the real power loss and VSL. An Meta-Heauristic algorithm known as Modified shuffled frog leap is applied for solving the UPFC location, its injected voltages are in series, a tap positions of secondary side transformers as they are variables. The obtained results of MSFL Algorithm Compared with Bacteria foregoing algorithm using IEEE 39 bus. KEYWORDS:Modified Shuffled frog leap, continuation power flow (CPF), optimal power flow (OPF).UPFC. I.INTRODUCTIONThe OPF methods are conventional and intelligent and solved by varieties of methods such as successive linear programming, the Newton raphson-based nonlinear programming method, and with varieties of recently proposed interior point methods. The Opf solution is used to optimize a selected objective function such as fuel cost with optimal adjustment of the power system control variables, at the same time satisfying various equity and inequality constraints. The drawback of the Optimal power flow is solved from different analysis, like the effects of load on voltage stability/power flow solvability, generation rescheduling for cost minimization of power generation, controls such as tap control on transformers, shunt devices, and other modern Var sources adjustments to minimize real power losses in the system. The advent of Flexible ac transmission systems (FACTS) system made the possibility for optimizing the power flow without the restoration of generation rescheduling or changes to topology. Unified power flow controller (UPFC) is the advanced in the controller's family and can provide the OPF with significant flexibility by injecting compensation in series and shunt in controlled manner. The UPFC can provide simultaneous control of all basic power system parameters like (transmission voltages, impedance value and different phase angles).In this paper, the voltage stability limit is defined as the maximum percentage overloading (λmax) the system can withstand and incorporated along with the objective of real power loss minimization. The classical techniques of OPF solution has the disadvantage that they are sensitive to starting points and leading monotonic solution. the problem has to eliminate by using evolutionary techniques has been applied for solving the OPF problem [10], [11] like particle swarm optimization (PSO) to the problem of OPF. In this paper a new evolutionary algorithm known as Shuffled Frog Leap algorithm (SFLA) is used to solve the combined problem of CPF-OPF for real power loss minimization and VSL maximization of the system. The algorithm has been inspired from memetic evolution of a group of frogs when looking for food. In Sfla, a solution to a...

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A hybrid particle swarm optimization applied to loss power minimization

Cited by 398 publications

References 18 publications

A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) Devices

A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) Devices

Real Power Loss Minimization and Voltage Stability Limit Enhancement by Using Shuffled Frog Leap Algorithm

Optimal Location of UPFC to Optimize the Real Power Losses and Voltage Stability Limit by Using Modified Shuffled Frog Leap Algorithm

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