Optimal Placement of Distributed Generation Based on Power Quality Improvement Using Self-Adaptive Lévy Flight Jaya Algorithm

Lakshmi, G. V. Naga; Laxmi, A. Jaya; Veeramsetty, Venkataramana; Salkuti, Surender Reddy

doi:10.3390/cleantechnol4040076

Cited by 8 publications

(2 citation statements)

References 42 publications

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“…Other algorithms have been used to reconfigure distribution systems to obtain the optimal location of DG based on minimizing active power losses and improving voltage profiles, such as the equilibrium optimizer [36], binary particle swarm optimization and shuffled frog leap [37], the modified analytical method for PV-DG [38], the honey badger [39], and self-adaptive levy flight [40]. A hybrid optimization approach that combines GA and the improved PSO algorithm to find the ideal location for the DG on the IEEE 30 bus while minimizing active power loss and preserving the voltage magnitude at roughly 1 p.u.…”

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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“…Optimal network reconfiguration problem using an algorithm based on heuristics [14]. The optimal placement of DG with the objective of reducing voltage deviation using the self-adaptive Lévy flight-based Jaya algorithm [15]. The crow search algorithm (CSA) is used in the problem of optimal network reconfiguration when installing DG and electric vehicle charging stations [16].…”

Section: Introductionmentioning

confidence: 99%

Optimal placement of distributed generations on distribution network for reducing power loss and improving feeder balance

Trinh,

Nguyen

2024

TELKOMNIKA

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The suitable placement and power of distributed generation (DG) can bring technical benefits to the distribution network. This paper applies the Coot optimization algorithm to the DG placement problem with the goal of minimizing power loss and feeder balancing load (LBF). The weight method is used to combine the membership objectives. The evaluation results on the network of 70 nodes for different weight values of the objective function show that the optimal power and installation location of DGs significantly reduces power loss and improves LBF index. In this study, eleven cases were considered. As the weight of power loss part 𝑤 1 increases from 0 to 1, the power loss gradually decreases, the LBF index gradually increases, the maximum current gradually decreases, and the minimum voltage amplitude gradually improves. Comparing the results of Coot with particle swarm optimization (PSO) shows that the indicators are improved. In the three cases where 𝑤 1 is 0, 0.5, and 1, power loss gained by Coot compared to PSO is less than 47.2663 kW, 73.2725 kW, 30.8708 kW, respectively. LBF index of Coot compared to PSO is less than 98.2%, 88.2%, 81.9%, respectively. The maximum, minimum, average, standard deviation, and CPU time of Coot are smaller than those of PSO. So, Coot is one of the promising methods for this problem.

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Real-Time Validation of Power Quality Enhancement Techniques in a Distribution Network

Ansari

Sahu

Gupta

2023

Lecture Notes in Electrical Engineering

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Optimal Placement of Distributed Generation Based on Power Quality Improvement Using Self-Adaptive Lévy Flight Jaya Algorithm

Cited by 8 publications

References 42 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

Optimal placement of distributed generations on distribution network for reducing power loss and improving feeder balance

Real-Time Validation of Power Quality Enhancement Techniques in a Distribution Network

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