Unified power flow controller based reactive power dispatch using oppositional krill herd algorithm

Dutta, Susanta; Mukhopadhyay, Pranabesh; Roy, Provas Kumar; Nandi, Debashis

doi:10.1016/j.ijepes.2016.01.032

Cited by 42 publications

(30 citation statements)

References 21 publications

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“…The entire system load is 1250.8 MW and 336.4 MVAr. In order to analyze the system under stressed condition, active and reactive power demand of each load bus are multiplied by 1.25 [41]. A comparison is made among the best compromise solution obtained from the proposed SCA method and the solutions obtained by BBO, DE, KHA and OKH algorithms.…”

Section: Test System 1: Standard Ieee-57 Bus Systemmentioning

confidence: 99%

Optimal Reactive Power Dispatch With Series and Shunt Facts Devices Using Sine Cosine Algorithm

Ravisekar¹,

Srinivasan²

2020

IJARET

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Management of reactive power resources is essential for the secure and stable functioning of power systems in the standpoint of voltage stability. The principal aim of optimal reactive power dispatch (ORPD) is to detect the settings of control variables such as the voltage rating of generators, reactive power injection of VAR compensators and tap ratios of the tap setting transformers in order to decrease the grid congestion with one or more objective of minimizing the active power loss for a fixed economic power schedule while meeting a given lot of constraints. In this paper, Flexible AC Transmission System (FACTS) controllers named as Unified Power Flow Controller (UPFC) is added with conventional ORPD problem for active power loss minimization with voltage profile improvement. Also, this paper demonstrates the application of sine cosine algorithm (SCA) to discover the optimal solution of ORPD (with UPFC) of power system with different test systems with distinct cases such as minimization of active power losses and improvement of voltage profile. Simulation results show the high quality and accuracy of the proposed algorithm, and considering the quality of the solution obtained, the proposed algorithm appears to be efficient and robust to solve the ORPD problem comparing with existing literatures.

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Section: Test System 1: Standard Ieee-57 Bus Systemmentioning

confidence: 99%

Optimal Reactive Power Dispatch With Series and Shunt Facts Devices Using Sine Cosine Algorithm

Ravisekar¹,

Srinivasan²

2020

IJARET

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“…As a subproblem of the optimal power flow calculation, it aims to minimize transmission losses or other concerned objective functions. In the past, computational intelligence-based techniques, such as seeker optimization algorithm [19], wo-point estimate method [20], teaching learning algorithm [21], PSO [22], differential evolution algorithm [23], oppositional krill herd algorithm [24], exchange market algorithm [25], and firefly algorithm [26] have been applied for solving ORPD problem. In [3], the PSO-imperialist competitive algorithm (PSO-ICA) is proposed and applied to the ORPD problem to minimize the total voltage deviation (TVD).…”

Section: Engineering Application Ii: Optimal Reactive Power Dispatch mentioning

confidence: 99%

A Hybrid Particle Swarm Optimization‐Cuckoo Search Algorithm and Its Engineering Applications

Ding

Wang

Zhang

et al. 2019

Mathematical Problems in Engineering

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This paper deals with the hybrid particle swarm optimization-Cuckoo Search (PSO-CS) algorithm which is capable of solving complicated nonlinear optimization problems. It combines the iterative scheme of the particle swarm optimization (PSO) algorithm and the searching strategy of the Cuckoo Search (CS) algorithm. Details of the PSO-CS algorithm are introduced; furthermore its effectiveness is validated by several mathematical test functions. It is shown that Lévy flight significantly influences the algorithm’s convergence process. In the second part of this paper, the proposed PSO-CS algorithm is applied to two different engineering problems. The first application is nonlinear parameter identification for the motor drive servo system. As a result, a precise nonlinear Hammerstein model is obtained. The second one is reactive power optimization for power systems, where the total loss of the researched IEEE 14-bus system is minimized using PSO-CS approach. Simulation and experimental results demonstrate that the hybrid optimal algorithm is capable of handling nonlinear optimization problems with multiconstraints and local optimal with better performance than PSO and CS algorithms.

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“…Therefore, the proof is completed. Let = 2, using the (16), (17), (21), (23), and (26), the control law (28) can be described as the following detailed mathematical expressions:…”

Section: Global Continuous Robust Finite-time Control Design For Upfcmentioning

confidence: 99%

“…In the past decade, many advanced controllers of the UPFC have been designed to compensate for a change of operating condition so that they are able to provide satisfactory performance over a wide range of operating conditions . In order to improve the transient stability and damp low‐frequency interarea oscillations of the power system, many nonlinear control strategies and intelligent control strategies of the UPFC have been proposed, such as direct Lyapunov function method, nonlinear predictive control method, feedback linearization control approach, pseudogeneralized Hamiltonian function method, terminal sliding mode control method, adaptive nonlinear control, quantum particle swarm optimizer method, neural network predictive control approach, robust fuzzy‐sliding mode, fuzzy‐logic control, and oppositional krill herd algorithm …”

Section: Introductionmentioning

confidence: 99%

“…[6][7][8][9][10][11][12][13][14][15][16][17][18] In order to improve the transient stability and damp low-frequency interarea oscillations of the power system, many nonlinear control strategies and intelligent control strategies of the UPFC have been proposed, such as direct Lyapunov function method, 1,6,7 nonlinear predictive control method, 3 feedback linearization control approach, 8,9 pseudogeneralized Hamiltonian function method, 10 terminal sliding mode control method, 16,17 adaptive nonlinear control, 20 quantum particle swarm optimizer method, 2,4 neural network predictive control approach, 19 robust fuzzy-sliding mode, 21 fuzzy-logic control, 22 and oppositional krill herd algorithm. 23 Another alternative solution to compensate for system nonlinearities is the global continuous robust finite-time control (GCRFTC), which is based on nonlinear PCDH system. 24 It is well worth pointing out that the Hamiltonian function, which is the sum of potential and kinetic energies in physical systems, is a good candidate of Lyapunov functions for many physical systems.…”

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confidence: 99%

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Global continuous robust finite‐time control design for unified power flow controller

Lei

Fei

Zhang

2018

Intl J Robust & Nonlinear

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Summary This article proposes a global continuous robust finite‐time control (GCRFTC) for a unified power flow controller (UPFC) to improve the transient stability and oscillation damping of power system. First, by using an appropriate coordinate transformation, the nonlinear system of the UPFC is transformed into a nonlinear port‐controlled dissipative Hamiltonian (PCDH) system. Second, based on the PCDH system, by utilizing the Hamiltonian structural properties and the “energy shaping plus damping injection” technique, a proper form of a Hamiltonian function is obtained for the PCDH system. Third, using the Hamiltonian function method, finite‐time stability criterion and robust control technique, the GCRFTC is designed and theoretically proved, and the chattering phenomena and the high‐order frequencies of the power system are avoided effectively. Lastly, a six‐bus and two power plants power system with a UPFC is used to test the effectiveness and robustness of the GCRFTC. Simulation results show that the speed, overshoot, and settling time of the response and the transient conditions of the GCRFTC are further improved in comparison with that of the robust finite‐time power flow control.

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Unified power flow controller based reactive power dispatch using oppositional krill herd algorithm

Cited by 42 publications

References 21 publications

Optimal Reactive Power Dispatch With Series and Shunt Facts Devices Using Sine Cosine Algorithm

Optimal Reactive Power Dispatch With Series and Shunt Facts Devices Using Sine Cosine Algorithm

A Hybrid Particle Swarm Optimization‐Cuckoo Search Algorithm and Its Engineering Applications

Global continuous robust finite‐time control design for unified power flow controller

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