Non-linear analytic approaches of power flow analysis and voltage profile improvement

Muzzammel, Raheel; Ahsan, Muhammad; Ahmad, Waqas

doi:10.1109/pgsret.2015.7312232

Cited by 12 publications

(6 citation statements)

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“…The optimal placement of FACTS devices is a common yet important research topic in literature and has been investigated via various approaches. These include (1) conventional methods (such as indexing [11], controlling [12], residue analysis [13], numerical optimization [14], sensitivity [15], and eigenvalue [16]), (2) optimization methods (such as optimal power flow [17], linear programming [18], dynamic programming [19], mixed integer programming [20], stochastic load flow [21], and adaptive control law [22]), (3) artificial intelligence techniques (such as Monte Carlo simulation [23], artificial bee colony [24], artificial neural network [25], symbiotic organism search algorithm [26], fuzzy systems [27], and particle swarm optimization [28]), (4) hybrid techniques (such as hybrid of bee colony and neural networks [29], hybrid of genetic algorithm and fuzzy systems [30], mixed optimal power flow and particle swarm optimization [31], mixed bee colony and optimal power flow [32], and hybrid of fuzzy systems and Lyapunov theory [33]), and (5) other approaches (such as energy approach [34], active control [35], graph search algorithms [36], whale optimization [37], Gray Wolf optimizer [38], salp swarm optimizer [39], Grasshooper optimization [40], ant lion optimization [41], and spider monkey optimization [42]).…”

Section: A State Of the Artmentioning

confidence: 99%

Cyber-Security Constrained Placement of FACTS Devices in Power Networks From a Novel Topological Perspective

et al. 2020

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Optimal placement of flexible AC transmission systems (FACTS) devices and the cybersecurity of associated data exchange are crucial for the controllability of wide area power networks. The placement of FACTS devices is studied in this paper from a novel graph theoretic perspective, which unlike the existing approaches, purely relies on topological characteristics of the underlying physical graphs of power networks. To this end, the maximum matching principle (MMP) is used to find the set of required FACTS devices for the grid controllability. In addition, the cyber-security of the most critical data related to the FACTS controllers is guaranteed by introducing the concept of moderated-k-security where k is a measure of data obscurity from the adversary perspective. The idea of moderated-k-symmetry is proposed to facilitate the arrangement of the published cyber graph based on a permutation of nodes within the symmetry group of the grid, called generator of automorphism. It is then verified that the published cybergraph can significantly obscure the data exchange over the cyber graph for adversaries. Finally, a similarity is observed and demonstrated between the set of critical nodes attained from the symmetry analysis and the solution of the FACTS devices placement that further highlights the importance of symmetry for the analysis and design of complex power networks. Detailed simulations are applied to three power networks and analyzed to demonstrate the performance and eligibility of the proposed methods and results.

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Section: A State Of the Artmentioning

confidence: 99%

Cyber-Security Constrained Placement of FACTS Devices in Power Networks From a Novel Topological Perspective

et al. 2020

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“…In [24], [25], the storage devices operated in a mode of power generation. In [26], a Newton method is used to solve optimal power flow equations. The drawbacks of this method are the output results they obtained are quite near to their limits.…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of optimal power flow in renewable energy sources based microgrids

Muzzammel

Arshad

Bashir

et al. 2023

IJECE

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<span lang="EN-US">Adaptation of renewable energy is inevitable. The idea of microgrid offers integration of renewable energy sources with conventional power generation sources. In this research, an operative approach was proposed for microgrids comprising of four different power generation sources. The microgrid is a way that mixes energy locally and empowers the end-users to add useful power to the network. IEEE-14 bus system-based microgrid was developed in MATLAB/Simulink to demonstrate the optimal power flow. Two cases of battery charging and discharging were also simulated to evaluate its realization. The solution of power flow analysis was obtained from the Newton–Raphson method and particle swarm optimization method. A comparison was drawn between these methods for the proposed model of the microgrid on the basis of transmission line losses and voltage profile. Transmission line losses are reduced to about 17% in the case of battery charging and 19 to 20% in the case of battery discharging when system was analyzed with the particle swarm optimization. Particle swarm optimization was found more promising for the deliverance of optimal power flow in the renewable energy sources-based microgrid.</span>

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“…Design of power plant is linked with few analyses without which power plants could not be termed as functional. Among them, the load flow analysis is the key to the acquire steady state of the system [4]- [16]. It is not possible to conduct load flow analysis by handy calculations when the power system is big.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, its convergence rate is faster. Adaptive Newton Raphson is also available but because of zeros in off-diagonal entries, its convergence rate is rapid but its result loses effectivity because of lost or little information [4]- [7].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive analysis and design of furnace oil-based power station using ETAP

Kalam

Arshad

2022

IJAPE

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High standards of living are linked with the availability of energy. Therefore, there is always a requirement to modify existing power generating systems or to add new systems to fulfill the increasing demands of energy. It is becoming a core issue in the South Asian region so that at least current standards of living could be maintained by controlling growing energy rates and shortening the availability of conventional sources. Furnace oil is a residue obtained in the process of distillation of crude oil in the petroleum industry. This furnace oil is applicable for power generation plants allied with the petroleum industry so that residue of oil refineries could be utilized. In this research, a furnace oil-based power plant is designed in electrical transient and analysis program (ETAP) software. Moreover, steady-state and transient analysis of the proposed design of the power plant are conducted to increase practical viability of model. Load flow is analyzed to depict the performance of the power plant model under load conditions. This model is further tested under the motor starting event to analyze the current drawn by the motor. This event helps to determine the permissible values of protective equipment installed in power plants. In the last, economic dispatch analysis is conducted to find the relative minima of generation cost of furnace oil-based power plant with respect to coal and hydel generation

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Non-linear analytic approaches of power flow analysis and voltage profile improvement

Cited by 12 publications

References 1 publication

Cyber-Security Constrained Placement of FACTS Devices in Power Networks From a Novel Topological Perspective

Cyber-Security Constrained Placement of FACTS Devices in Power Networks From a Novel Topological Perspective

Comparative analysis of optimal power flow in renewable energy sources based microgrids

Comprehensive analysis and design of furnace oil-based power station using ETAP

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