Analysing the impact of optimally allocated solar PV-based DG in harmonics polluted distribution network

Parihar, Shradha Singh; Malik, Nitin

doi:10.1016/j.seta.2021.101784

Cited by 10 publications

(8 citation statements)

References 31 publications

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“…The slime mold algorithm in nature oscillation mode was used to estimate the optimal location and size of PV power generation as well as DSTATCOM in the real distribution network East Delta Network [18]. The best location for solar PV is selected using a weighted multi-objective method followed by the PSO algorithm [19]. For DigSILENT, the PowerFactory simulation package was used to simulate a coronavirus algorithm for optimal operation of the Egyptian grid model with maximum renewable energy production, minimum voltage deviation, and minimum power losses [20], and the Egyptian national power system for 500 kV extra high voltage and 220 kV high voltage is evaluated with real data [21].…”

Section: Related Workmentioning

confidence: 99%

Modified Analytical Technique for Multi-Objective Optimal Placement of High-Level Renewable Energy Penetration Connected to Egyptian Power System

et al. 2023

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The 2022 United Nations Climate Change Conference (COP27) recommended that Egypt be converted to green energy, in addition to increasing the demand for annual energy consumption, which will lead to an increase in the use of renewable energy sources (RES) in Egypt. The Egyptian Ministry of Energy and Electricity plans to build RES (photovoltaic systems and wind farms) connected to the Egyptian power system (EPS). It is a defect to choose the position and size of the RES based on only power calculations because the RES is an intermittent source. This paper presents a modified analytical energy technique for locating RES in IEEE 33-bus and 69-bus distribution networks and a realistic 25-bus 500 kV EPS. An analytical multi-objective function has been developed to determine the optimal locations of DGs or RESs based on power losses and annual energy loss calculations of the system depending on weather conditions. The efficiency and feasibility of the proposed algorithm based on the IEEE 33-bus and 69-bus distribution networks and the realistic 25-bus 500 kV EPS have been tested and compared with PSO and GA. The impact of RESs on the performance of the 25-bus 500 kV EPS has been investigated based on annual energy losses and operation stability depending on weather conditions. The results showed that the proposed technique used these effective values to obtain optimal weather-adjusted locations. The optimal locations of PV systems or wind systems based on energy calculation improved the voltage profile better than power calculation by about 2%, and the annual energy losses decreased by about 7%. The performance of the 25-bus 500 kV EPS, due to the addition of RES, resulted in a decrease in the annual energy losses of 47% and an improvement in the voltage profile and system stability.

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Section: Related Workmentioning

confidence: 99%

Modified Analytical Technique for Multi-Objective Optimal Placement of High-Level Renewable Energy Penetration Connected to Egyptian Power System

et al. 2023

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“…This approach demonstrated reduced energy losses, enhanced voltage profiles, and better reliability in the distorted distribution network. The results were compared with a GA, a multi-objective GA (MOGA), the analytical method (AM), and the backtracking search optimization algorithm (BSOA) (Parihar et al, 2022).…”

Section: Optimized Dg Allocationmentioning

confidence: 99%

Recent Trends in the Optimization of Renewable Distrib-uted Generation: A Review

2022

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Distributed energy resources, or distributed generation (DG), are the mainstay of modern power systems aiming towards green energy generation via the effective integration of renewable energy sources. DG involvement in traditional power systems comprises the enhancement of power quality parameters, the utilization of renewable sources, cost optimization, and stable and reliable energy generation. The advantages of such a revolutionary approach can be achieved with the optimal sizing and allocation of DG by means of adequate optimization techniques, constraints, and optimized parameters. In this study, a comprehensive review of DG optimization is presented in light of recent developments, and a comparison is carried out based on the adopted optimization techniques, test system, enhanced parameters, and outcome evaluations.

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“…A traditional PMU focuses on the fundamental frequency and cannot completely cover the 0-2.5 kHz signal [3]. The large-scale access of distributed sources and load injects harmonics of different components into the distribution networks, increasing the difficulty of protection and fault detection of the distribution network [4]. Harmonic phasors have become a topic of significant interest in the distribution grid's PMUs, as they can provide additional information for applications such as protection and fault diagnosis in the distribution grid [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Design of a Multifrequency Signal Parameter Estimation Method for the Distribution Network Based on HIpST

Liu,

Liang,

Ding

et al. 2024

ENERGY

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The application of traditional synchronous measurement methods is limited by frequent fluctuations of electrical signals and complex frequency components in distribution networks. Therefore, it is critical to find solutions to the issues of multifrequency parameter estimation and synchronous measurement estimation accuracy in the complex environment of distribution networks. By utilizing the multifrequency sensing capabilities of discrete Fourier transform signals and Taylor series for dynamic signal processing, a multifrequency signal estimation approach based on HT-IpDFT-STWLS (HIpST) for distribution networks is provided. First, by introducing the Hilbert transform (HT), the influence of noise on the estimation algorithm is reduced. Second, signal frequency components are obtained on the basis of the calculated signal envelope spectrum, and the interpolated discrete Fourier transform (IpDFT) frequency coarse estimation results are used as the initial values of symmetric Taylor weighted least squares (STWLS) to achieve high-precision parameter estimation under the dynamic changes of the signal, and the method increases the number of discrete Fourier. Third, the accuracy of this proposed method is verified by simulation analysis. Data show that this proposed method can accurately achieve the parameter estimation of multifrequency signals in distribution networks. This approach provides a solution for the application of phasor measurement units in distribution networks.

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Analysing the impact of optimally allocated solar PV-based DG in harmonics polluted distribution network

Cited by 10 publications

References 31 publications

Modified Analytical Technique for Multi-Objective Optimal Placement of High-Level Renewable Energy Penetration Connected to Egyptian Power System

Modified Analytical Technique for Multi-Objective Optimal Placement of High-Level Renewable Energy Penetration Connected to Egyptian Power System

Recent Trends in the Optimization of Renewable Distrib-uted Generation: A Review

Design of a Multifrequency Signal Parameter Estimation Method for the Distribution Network Based on HIpST

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