Reactive Power Compensation on Egypt Electricity Network for Optimal Energy Saving

Mobarak, Youssef; Hemeida, Ashraf Mohamed; El-Bahnasawy, A.; Hamada, Mohamed M.

doi:10.48084/etasr.2451

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…By understanding the importance of the Optimal Power Flow (OPF) solution for economic and reliable operation under linear load conditions, traditionally, classical or deterministic optimization techniques have been used. Recently, comparatively easier to implement heuristic methods have been preferred to undertake global search [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A Novel Algorithm for Optimal Harmonic Load Flow including Harmonic Compensation

Godbole

George²

2023

Eng. Technol. Appl. Sci. Res.

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Load flow analysis is widely used for finding voltage at various parts of a large, interconnected power system. The exponential increase in the use of power electronic devices and the noticeable percentage of integration of renewable energy sources in modern power systems result in the occurrence of non-sinusoidal voltages at various parts of the power system. By reformation of the Newton-Raphson load flow method, a few harmonic load flow algorithms have been developed for modern transmission systems. However, for larger transmission systems, complexity and heavy computational burden are often encountered in the load flow solution process due to the increased size of the Jacobean matrix that further increases with multiple non-linear load buses and compensation requirements. This leads to convergence problems and increased execution time. In this paper, an optimal harmonic load flow algorithm is proposed, that employs a modified PSO technique to select control variables and the harmonic load flow method to find solutions for load flow analysis with a reduced size of the Jacobean matrix. The formulated method uses a simple technique to take into account nonlinear loads and results in faster convergence. The novelty of the algorithm is that an optimal load flow solution with the desired amount of reactive and harmonic compensation currents is obtained. The algorithm can help in getting load flow solutions in future power systems with distorted voltage and currents with compensation. The performance of the proposed algorithm is tested on a modified IEEE 30-bus system with multiple non-linear load buses and is validated with the Simulink model of the system.

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Section: Introductionmentioning

confidence: 99%

A Novel Algorithm for Optimal Harmonic Load Flow including Harmonic Compensation

Godbole

George²

2023

Eng. Technol. Appl. Sci. Res.

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“…Active demand is for useful energy. Reactive demand must be managed efficiently to deliver active power efficiently, improve power quality, release system capacity, improve system stability, reduce system losses, reduce voltage deviation, and improve the system power factor [1,2]. Reactive power management is always a main concern for utilities in order to improve system security and operation; hence, optimum reactive power dispatch (ORPD) has appeared as an important solution [3].…”

Section: Introductionmentioning

confidence: 99%

Reactive Power Management Based Hybrid GAEO

et al. 2022

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Electrical power networks are expanded regularly to meet growing energy requirements. Reactive power dispatch (RPD) optimization is a powerful tool to enhance a system’s efficiency, reliability, and security. RPD optimization is classified as a non-linear and non-convex problem. In this paper, the RPD optimization problem is solved based on novel hybrid genetic algorithms—equilibrium optimizer (GAEO) optimization algorithms. The control variables are determined in such a way that optimizes RPD and minimizes power losses. The efficiency of the proposed optimization algorithms is compared to other techniques that have been used recently to solve the RPD problem. The proposed algorithm has been tested for optimization RPD for three test systems, IEEE14-bus, IEEE-30bus, and IEEE57-bus. The obtained results show the superiority of GAEO over other techniques for small test systems, IEEE14-bus and IEEE-30bus. GAEO shows good results for large system, IEEE 57-bus.

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“…Power loss in electric distribution systems (EDSs) takes a high portion in the total power loss of the electricity system. There are lots of techniques for reducing power loss such as distributed generation placement [1], capacitor placement [2][3][4], and network reconfiguration. Among these methods, network reconfiguration is the most efficient.…”

Section: Introductionmentioning

confidence: 99%

Network Reconfiguration for an Electric Distribution System with Distributed Generators based on Symbiotic Organisms Search

Duong

Nguyen

2019

Eng. Technol. Appl. Sci. Res.

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This paper proposes a method of network reconfiguration based on symbiotic organisms search (SOS) algorithm for reducing power loss of the electric distribution system. The SOS is a recent developed meta-heuristic algorithm inspired from the symbiotic interaction strategies of organisms for surviving and propagating in the ecosystem. Compared to other algorithms, SOS does not need any control parameters during the searching process. The advantages of the proposed SOS method have been validated in two electric distribution systems. Three network cases have been considered for each system, consisting of performing network reconfiguration on the system without distributed generator (DG) placement, the system installed type-P DGs and the system installed type-PQ DGs. The comparison results with particle swarm optimization and other previous methods show that the proposed SOS can be a promising technique for the problem of electric network reconfiguration.

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Reactive Power Compensation on Egypt Electricity Network for Optimal Energy Saving

Cited by 4 publications

References 17 publications

A Novel Algorithm for Optimal Harmonic Load Flow including Harmonic Compensation

A Novel Algorithm for Optimal Harmonic Load Flow including Harmonic Compensation

Reactive Power Management Based Hybrid GAEO

Network Reconfiguration for an Electric Distribution System with Distributed Generators based on Symbiotic Organisms Search

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