Optimal Placement and Sizing of Multi-Type Distributed Generation Considering Voltage Profile Improvement and Power Loss Minimization

Hassan, S Jarjees Ul; Haider, Waseem; Mehdi, Arif; Gush, Teke; Song, Jae Seok; Kim, Chul‐Hwan

doi:10.5370/kiee.2021.70.4.561

Cited by 4 publications

(2 citation statements)

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“…Therefore, conventional power flow approaches, such as the Newton-Raphson method and fast decoupled power flow analysis, are not preferred when dealing with distribution system challenges. However, it is essential to use the distribution version of the power flow method [29].…”

Section: A Opf Iterative Methodsmentioning

confidence: 99%

Maximum Hosting Capacity Assessment of Distribution Systems With Multitype DERs Using Analytical OPF Method

2022

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Renewable energy is being increasingly integrated into distribution systems worldwide in response to technological, economic, and environmental challenges. The assessment of hosting capacity allows us to determine the maximum installation capacity of distributed energy resources (DERs) in a distribution system within its operational limits to obtain more benefits. In this study, a new multistage algorithm is developed based on an analytical approach and optimal power flow (OPF) for the assessment of DERs' hosting capacity (DERHC) with single and multiple multi-type DERs. In the first stage, the optimal locations of DERs are determined analytically, and the second stage involves the calculation of optimal DERs sizes for the assessment of the maximum locational and total DERHC. This method provides mathematical and global optimum certainty considering the constraints to maintain the reliability and protection of the system. Moreover, the proposed method is tested using a standard IEEE 33-bus distribution system, and different scenarios are created based on the number and type of DERs to achieve the best-case results of DERHC. The obtained results are compared with those of the conventional OPF iterative method that are encouraging and validate the accuracy and robustness of the proposed methodology.INDEX TERMS Analytical optimal power flow method, hosting capacity assessment, multi-type distributed generation, optimal power flow.

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Section: A Opf Iterative Methodsmentioning

confidence: 99%

Maximum Hosting Capacity Assessment of Distribution Systems With Multitype DERs Using Analytical OPF Method

2022

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“…The impact of DG integration on active power loss were calculated on each branch [15]. Figure 4 shows reduction of power loss without impact of DG.…”

Section: Power Loss Minimizationmentioning

confidence: 99%

Power loss minimization with simultaneous location and sizing of distribution generation units using artificial algae algorithm

Chauhan¹,

Chakravorty²

2022

IJEECS

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Power loss is one <span lang="EN-US">of the important pointers used to measure the performance of distributions networks. Many optimization algorithms have been proposed to solve various optimal power flow problems in Electrical Engineering. In this paper, a novel technique, artificial algae algorithm is developed to robustly detect the optimal location and size of distributed generation (DG) units for minimization of total power losses without violating the equality and inequality constraints. The main objective of optimal power flow (OPF) is to maximize or minimize the objective function using various constraint so that steady-state operation point is achieved. The concept of optimal power flow in power system helps to minimize real power loss. In the proposed approach, various control variables like generator bus, voltage magnitudes, and transformer tap settings are considered. The proposed algorithm is simulated in MATLAB and effectiveness is carried on IEEE 33 bus radial distribution system and satisfactory results are achieved when compared with other optimization techniques. A notable improvement in reduction of active power losses with 3 DG operating at different power factors are 65.5%, 42.4%, and 77.8% respectively, were achieved in comparison to the system without DGs and as compared with other research papers.</span>

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An efficient modelling and hosting capacity analysis of a distribution system integrating PVs supported by the V2G technology

Hassan,

Mehdi,

Song

et al. 2024

Electric Power Systems Research

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Optimal Placement and Sizing of Multi-Type Distributed Generation Considering Voltage Profile Improvement and Power Loss Minimization

Cited by 4 publications

References 0 publications

Maximum Hosting Capacity Assessment of Distribution Systems With Multitype DERs Using Analytical OPF Method

Maximum Hosting Capacity Assessment of Distribution Systems With Multitype DERs Using Analytical OPF Method

Power loss minimization with simultaneous location and sizing of distribution generation units using artificial algae algorithm

An efficient modelling and hosting capacity analysis of a distribution system integrating PVs supported by the V2G technology

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