scholarly journals Finding Radial Network Configuration of Distribution System Based on Modified Symbiotic Organisms Search

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Thuan Thanh Nguyen ◽  
Thanh-Quyen Ngo ◽  
Thanh Long Duong ◽  
Thang Trung Nguyen
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Network Reconfiguration ◽  
Success Rates ◽  
Network Configuration ◽  
Symbiotic Organisms Search ◽  
Comparison Results ◽  
Symbiotic Organisms ◽  
Radial Network

Network reconfiguration (NR) is one of the most effective methods to reduce line power loss in the distribution system, which causes higher losses than the other parts of the power system. This paper proposes a modified symbiotic organisms search (MSOS) algorithm to solve the NR problem. For the purpose of enhancing the effectiveness of MSOS, the mutualism and parasitism strategies of the original symbiotic organisms search (SOS) have been modified to create better new solutions. In the mutualism strategy, the so-far best solution is updated immediately as soon as new solutions are created. In the parasitism strategy, the update is only implemented for the first half of control variables, whereas another half still remains unchanged. The comparison results between MSOS and SOS on twenty-five benchmark functions and different scales of test distribution systems with 14, 33, 69, and 119 nodes show that the improvement level of MSOS over SOS is significant with higher success rates and better quality of gained solutions. Similarly, MSOS also reaches better results than other methods in the literature. Consequently, MSOS can be a favorable method for determining the most appropriate configurations for the distribution systems.

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

2019 ◽  
Vol 9 (6) ◽  
pp. 4925-4932 ◽  
Author(s):  
T. L. Duong ◽  
T. T. Nguyen
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Reducing Power ◽  
Network Reconfiguration ◽  
Symbiotic Interaction ◽  
Symbiotic Organisms Search ◽  
Electric Distribution System ◽  
Comparison Results ◽  
Electric Distribution ◽  
Symbiotic Organisms

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.

scholarly journals Optimal electric distribution network configuration using adaptive sunflower optimization

2021 ◽  
Vol 10 (4) ◽  
pp. 1777-1784
Author(s):  
Thuan Thanh Nguyen ◽  
Ngoc Thiem Nguyen ◽  
Trung Dung Nguyen
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Network Reconfiguration ◽  
Network Configuration ◽  
Solution Quality ◽  
Electric Distribution Network ◽  
Optimal Network ◽  
Comparison Results ◽  
Power Loss Reduction ◽  
Powerful Approach

Network reconfiguration (NR) is a powerful approach for power loss reduction in the distribution system. This paper presents a method of network reconfiguration using adaptive sunflower optimization (ASFO) to minimize power loss of the distribution system. ASFO is developed based on the original sunflower optimization (SFO) that is inspired from moving of sunflower to the sun. In ASFO, the mechanisms including pollination, survival and mortality mechanisms have been adjusted compared to the original SFO to fit with the network reconfiguration problem. The numerical results on the 14-node and 33-node systems have shown that ASFO outperforms to SFO for finding the optimal network configuration with greater success rate and better obtained solution quality. The comparison results with other previous approaches also indicate that ASFO has better performance than other methods in term of optimal network configuration. Thus, ASFO is a powerful method for the NR.

scholarly journals A Head Formulation for the Steady-State Analysis of Water Distribution Systems Using an Explicit and Exact Expression of the Colebrook–White Equation

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1163
Author(s):  
Mengning Qiu ◽  
Avi Ostfeld
Keyword(s):  
Steady State ◽  
Distribution System ◽  
Distribution Systems ◽  
Water Distribution ◽  
Solution Method ◽  
Water Distribution System ◽  
Academic Research ◽  
Exact Expression ◽  
Contamination Source

Steady-state demand-driven water distribution system (WDS) solution is the bedrock for much research conducted in the field related to WDSs. WDSs are modeled using the Darcy–Weisbach equation with the Swamee–Jain equation. However, the Swamee–Jain equation approximates the Colebrook–White equation, errors of which are within 1% for ϵ/D∈[10−6,10−2] and Re∈[5000,108]. A formulation is presented for the solution of WDSs using the Colebrook–White equation. The correctness and efficacy of the head formulation have been demonstrated by applying it to six WDSs with the number of pipes ranges from 454 to 157,044 and the number of nodes ranges from 443 to 150,630. The addition of a physically and fundamentally more accurate WDS solution method can improve the quality of the results achieved in both academic research and industrial application, such as contamination source identification, water hammer analysis, WDS network calibration, sensor placement, and least-cost design and operation of WDSs.

scholarly journals Rapid Performance Evaluation of Water Supply Services for Strategic Planning

2019 ◽  
Vol 5 (5) ◽  
pp. 1197-1204 ◽  
Author(s):  
Gulfam Shahzad ◽  
Rashid Rehan ◽  
Muhammad Fahim
Keyword(s):  
Strategic Planning ◽  
Water Supply ◽  
Distribution System ◽  
Distribution Systems ◽  
Google Earth ◽  
System A ◽  
Quality Of Water ◽  
Interactive Map ◽  
Water Supply Services

The assessment of existing water supply services was carried out through selected performance indicators with the aim of using that data in future for strategic planning of urban Mardan. The key performance indictors studied were selected to assess both the quantity and quality of water. The quality of water was assessed by turbidity, pH, and E-coli tests for samples collected at the start, middle, and tail end of the distribution system. The quantity of water supplied was measured by calculating discharges from water tapes at the three selected locations in the distribution system. A total of thirty samples were collected from ten union councils out of fourteen covering urban Mardan. A number of issues are highlighted in the overall water supply infrastructure and short, mid, and long term remedial measures are recommended. The results are presented in the form of an interactive map using Google Earth and VBA based dynamic database. It was found that the overall quality of water is generally acceptable for drinking. However, the presence of bacteria is an issue in many cases which needs to be resolved. A significant decrease in discharge is observed in the distribution systems away from the source due to leakages and illegal connections. A comprehensive overhaul of both management and infrastructure is required for sustainable and satisfactory level of services.

scholarly journals Optimal Network Reconfiguration to Reduce Power Loss Using an Initial Searching Point for Continuous Genetic Algorithm

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
Thuan Thanh Nguyen ◽  
Thang Trung Nguyen ◽  
Ngoc Au Nguyen
Keyword(s):  
Genetic Algorithm ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Systems ◽  
Closed Loop ◽  
Control Variable ◽  
Initial Population ◽  
Network Reconfiguration ◽  
Power Loss Reduction ◽  
Continuous Genetic Algorithm

In this paper, an effective method to determine an initial searching point (ISP) of the network reconfiguration (NR) problem for power loss reduction is proposed for improving the efficiency of the continuous genetic algorithm (CGA) to the NR problem. The idea of the method is to close each initial open switch in turn and solve power flow for the distribution system with the presence of a closed loop to choose a switch with the smallest current in the closed loop for opening. If the radial topology constraint of the distribution system is satisfied, the switch opened is considered as a control variable of the ISP. Then, ISP is attached to the initial population of CGA. The calculated results from the different distribution systems show that the proposed CGA using ISP could reach the optimal radial topology with better successful rate and obtained solution quality than the method based on CGA using the initial population generated randomly and the method based on CGA using the initial radial configuration attached to the initial population. As a result, CGA using ISP can be a favorable method for finding a more effective radial topology in operating distribution systems.

scholarly journals Soybean seeds quality under different levels of vigor and fertilizing supplying

2020 ◽  
Vol 9 (11) ◽  
pp. e1119119422
Author(s):  
Simone Morgan Dellagostin ◽  
Vinícius Jardel Szareski ◽  
Ivan Ricardo Carvalho ◽  
Gustavo Henrique Demari ◽  
Michele Renata Revers Meneguzzo ◽  
...  
Keyword(s):  
Experimental Design ◽  
Electric Conductivity ◽  
Distribution System ◽  
Root Length ◽  
Dry Matter ◽  
Distribution Systems ◽  
Accelerated Aging ◽  
Soybean Seeds ◽  
Different Levels

The aims to evaluate the soybean seeds quality in response to the vigor level of seeds and the fertilizing distribution system in the sowing row. The experimental design was random blocks organized in factorial scheme, being two growing environments (Passo Fundo – RS and Ernestina – RS) x three vigor levels classified as high, medium and low (90%, 70% and 60% vigor, respectively) x three fertilizing distribution systems (no distribution, conventional and overflow), and the treats disposed in four replicates. The measured characters were thousand seeds mass, germination, accelerated aging, electric conductivity, viability and vigor, shoot and root length, shoot and root dry matter and field emergency. Vigor and physiologic quality of produced seeds are intimately related to characteristic of environment of production and vigor level of used seeds. Elevated physiologic potential are obtained in seeds produced in specifically using seeds with high vigor independent of the fertilizer distribution system.

scholarly journals NETWORK RECONFIGURATION IN DISTRIBUTION SYSTEM BY SOFTWARE SIMULATION FOR LOSS REDUCTION

2013 ◽  
pp. 288-291
Author(s):  
SANJEEV KUMAR
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Fault Localization ◽  
Operating Costs ◽  
Network Reconfiguration ◽  
Loss Reduction ◽  
Loss Minimization ◽  
Software Simulation ◽  
Popular Approach ◽  
Short Circuits

The main aim of the distribution companies is to reduce their operating costs to get ahead of competition. One of the most popular approach is to increase the degree of reliability of distribution system. The management of network defeats (e.g. earth fault, short circuits) offers a lot of feasibilities for automation. The main jobs are fault localization, fault detachment and system refurbishing. The network manipulator needs excellent knowledge about the controlled network area to accomplish these tasks efficiently. In this paper a fault management system is described which magnifies the reliability of the system with the help of network reconfiguration. The fault localization, segregation and refurbishing allowance to remedy the operator from these demanding tasks during network defeats. This paper present a CYMDIST based analysis for the loss minimization problem. This method is tested in 11 KV distribution systems for loss minimization.

scholarly journals Application of genetic algorithm for problem of optimizing location and capacity of distributed generation considering distributed network reconfiguration

2018 ◽  
Vol 20 (K7) ◽  
pp. 5-14
Author(s):  
Linh Tung Nguyen ◽  
Thuan Thanh Nguyen ◽  
Trieu Ngoc Ton ◽  
Anh Viet Truong ◽  
Xuan Anh Nguyen
Keyword(s):  
Genetic Algorithm ◽  
Distributed Generation ◽  
Distribution Network ◽  
Network Reconfiguration ◽  
Distributed Network ◽  
Network Configuration ◽  
Second Stage ◽  
Simulation Results ◽  
Two Stages ◽  
Radial Network

This paper presents a method of determining the location and size of distributed generation (DG) considering to operate the configuration of distribution network to minimize the real power loss. The proposed method which is based on the genetic algorithm (GA) is divided into two stages. In the first stage, GA is used to optimize the location and size of DG in the mesh distribution network, while in the second stage, GA is used to determine the radial network configuration after installing DG. The simulation results on the 33-nodes and 69-nodes systems show that the proposed method can be an efficient method for the placing DG problem and that is considering to solve the problem of distribution network reconfiguration.

scholarly journals Network Reconfiguration of Primary Distribution System Using GWO Algorithm

2017 ◽  
Vol 7 (6) ◽  
pp. 3226 ◽  
Author(s):  
A. V. Sudhakara Reddy ◽  
M. Damodar Reddy ◽  
M. Satish Kumar Reddy
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Systems ◽  
Network Reconfiguration ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Real Power ◽  
Power Distribution System ◽  
Power Loss Reduction

This manuscript presents a feeder reconfiguration in primary distribution networks with an objective of minimizing the real power loss or maximization of power loss reduction. An optimal switching for the network reconfiguration problem is introduced in this article based on step by step switching and simultaneous switching. This paper proposes a Grey Wolf Optimization (GWO) algorithm to solve the feeder reconfiguration problem through fitness function corresponding to optimum combination of switches in power distribution systems. The objective function is formulated to solve the reconfiguration problem which includes minimization of real power loss. A nature inspired Grey Wolf Optimization Algorithm is utilized to restructure the power distribution system and identify the optimal switches corresponding minimum power loss in the distribution network. The GWO technique has tested on standard IEEE 33-bus and 69-bus systems and the results are presented.

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