scholarly journals Distribution system reconfiguration using water cycle algorithm

2021 ◽  
pp. 77-86
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Optimization Problems ◽  
Water Cycle ◽  
Reducing Power ◽  
Active Power ◽  
Power Losses ◽  
Water Cycle Algorithm ◽  
System Reconfiguration ◽  
Distribution System Reconfiguration

High power losses are a great concern in operating electric distribution system. Reconfiguration is one of the most economic approaches for reducing power losses of the system. This study suggests a technique for dealing with the distribution system reconfiguration problem based on a water cycle algorithm for minimizing active power loss. The water cycle algorithm is a recently developed metaheuristic algorithm that inspired the process of water circulation for solving optimization problems. The effectiveness and performance of the water cycle algorithm were tested on the 33-node and 69-node systems. The water cycle algorithm was applied to determine the best configuration of the distribution system for active power loss minimization. The results yielded by the water cycle algorithm were compared with other optimization algorithms in the literature and the comparisons showed that the water cycle algorithm obtained good quality of solution for the problem. Therefore, the water cycle algorithm is the potential method for the distribution system reconfiguration problem.

scholarly journals Analysis of Power Loss of 20 kV Power Distribution

2018 ◽  
Vol 215 ◽  
pp. 01040
Author(s):  
Dasman Dasman
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Reactive Power ◽  
Voltage Drop ◽  
Action Plan ◽  
Active Power ◽  
Power Losses ◽  
Power Distribution System ◽  
Distribution Line

In the distribution of electrical energy from the plant to the consumer, there is a decrease in quality due to the loss of power (losses). These power losses are caused by a voltage drop across the line and subsequently producing a power loss on the line. This power loss can be classified into two types based on its line parameters, i.e., active power loss and reactive power loss. The line’s active power loss generates losses of power/losses so that the active power reaches the load on the receiving end is always less than the productive power of the sender side. Power losses in the electrical system must exist and cannot be reduced to 0% (zero percent). According to SPLN No. 72 of 1987, the permitted distribution network’s power loss should not be higher than 10%. This paper investigates the magnitude of the voltage loss and the line active power losses on the 20 kV distribution line. The calculation conducted through case study and simulation of Etap 12.6 program on an electrical power distribution system that is 20 kV distribution line in PT. PLN (Persero) Rayon Muara Labuh. In the distribution line 20 kV, there is IPP (Independent Power Plant) PLTMH PT SKE used to improve the stress conditions in Rayon Muara Labuh. Therefore the loss of power will be calculated in 3 terms, i.e., before and after IPP PT. SKE with 20 kV distribution lines as well as on feeder load maintenance (as a repair action plan). The simulation results show the highest voltage drop and the highest power losses continue generated during IPP. PT SKE has not done synchronized with the distribution line of 20 kV with a significant voltage drop of 1,533 kV percentage of 7.93% and power loss of 777.528 kWh percentage of 7.69%.

scholarly journals A Novel Analytical Approach for Optimal Placement and Sizing of Distributed Generations in Radial Electrical Energy Distribution Systems

2021 ◽  
Vol 13 (18) ◽  
pp. 10224
Author(s):  
Sasan Azad ◽  
Mohammad Mehdi Amiri ◽  
Morteza Nazari Heris ◽  
Ali Mosallanejad ◽  
Mohammad Taghi Ameli
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Reducing Power ◽  
Distribution Networks ◽  
Active Power ◽  
Optimal Placement ◽  
Power Losses ◽  
Active Power Losses

Considering the strong influence of distributed generation (DG) in electric distribution systems and its impact on network voltage losses and stability, a new challenge has appeared for such systems. In this study, a novel analytical algorithm is proposed to distinguish the optimal location and size of DGs in radial distribution networks based on a new combined index (CI) to reduce active power losses and improve system voltage profiles. To obtain the CI, active power losses and voltage stability indexes were used in the proposed approach. The CI index with sensitivity analysis was effective in decreasing power losses and improving voltage stability. Optimal DG size was determined based on a search algorithm to reduce active power losses. The considered scheme was examined through IEEE 12-bus and 33-bus radial distribution test systems (RDTS), and the obtained results were compared and validated in comparison with other available methods. The results and analysis verified the effectiveness of the proposed algorithm in reducing power losses and improving the distribution system voltage profiles by determining the appropriate location and optimal DG size. In IEEE 12 and 33 bus networks, the minimum voltage increased from 0.9434 p.u and 0.9039 p.u to 0.9907 p.u and 0.9402 p.u, respectively. Additionally, the annual cost of energy losses decreased by 78.23% and 64.37%, respectively.

Study on Implementation Strategy of Network Reconfiguration in Distribution System

2012 ◽  
Vol 614-615 ◽  
pp. 976-979
Author(s):  
Bin Zheng Dong ◽  
Bao Zhu Liu ◽  
Guo Liang Guo ◽  
Yun Xiao Bai
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Implementation Strategy ◽  
Closed Loop ◽  
Network Reconfiguration ◽  
Loop Current ◽  
System Reconfiguration ◽  
Operation Sequence ◽  
Switch Operation ◽  
Distribution System Reconfiguration

Distribution system reconfiguration is the main measure to optimize the distribution system, which can dramatically lower the power loss of the network. This paper deals with the switch operation sequence considering closed-loop current constraints and puts forward the concept of “switch compounding”. A new implementation strategy is proposed to realize a feasible operation sequence. The strategy is tested on IEEE33 system, which verifies the effectiveness of the strategy.

scholarly journals Distribution System Reconfiguration for Loss Minimization and Voltage Profile Enhancement by using Discrete – Improved Binary Particle Swarm Optimization Algorithm

2019 ◽  
Vol 8 (2S11) ◽  
pp. 900-906
Keyword(s):  
Particle Swarm Optimization ◽  
Distribution System ◽  
Particle Swarm ◽  
Binary Particle Swarm Optimization ◽  
Voltage Profile ◽  
Power Losses ◽  
Swarm Optimization ◽  
System Reconfiguration ◽  
Distribution System Reconfiguration ◽  
Bus System

Distribution system reconfiguration is done by altering the open / close position of two kinds of switches: usually open tie switches and sectionalizing switches usually closed. Its main purpose is restoration of supply via other route to improve reliability, sometimes for load balancing by relieving overloads. Feeder reconfiguration is very good alternative to reduce power losses and improve voltage profile to improve overall performance. Distribution system reconfiguration is a very cost effective way to reduce the distribution system power losses, enhance voltage profile and system reliability. This paper presents application of novel Discrete - improved binary particle swarm optimization (D-IBPSO) algorithm for distribution system reconfiguration for minimization of real power loss and improvement of voltage profile. The algorithm is implemented to a 16-bus, 33-bus system and a 69-bus system considering different loading conditions. The simulation results indicate that the suggested technique can accomplish optimal reconfiguration and significantly reduce power losses on the supply scheme and enhance the voltage profile.

A fast non-dominated sorting guided genetic algorithm for multi-objective power distribution system reconfiguration problem

2015 ◽  
Author(s):  
◽  
Awad M. Eldurssi
Keyword(s):  
Genetic Algorithm ◽  
Power Distribution ◽  
Distribution System ◽  
Normal Operation ◽  
Computational Time ◽  
Power Losses ◽  
Real Power ◽  
Multi Objective ◽  
System Reconfiguration ◽  
Distribution System Reconfiguration

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Power distribution systems are designed and constructed as closed loops, but they are operated in a radial topology by choosing suitable open tie switches. Radial configurations are used because they satisfy various operational and protection requirements. Distribution system reconfiguration (DSR) determines the status of both sectionalizing switches (which are normally closed) and tie switches (which are normally open). DSR has great benefits in both normal and abnormal operations (outages). DSR is a multi-objective, non-linear problem. A new, fast, non-dominated sorting genetic algorithm (FNSGA) is introduced for solving the DSR problem in normal operation by satisfying all objectives simultaneously with a relatively small numbers of population size and generations and short computational time. The dissertation describes creative contributions to genetic algorithm science for the DSR problem and describes results of applying the FNSGA to a standard IEEE test system. The results show the efficiency of this algorithm as compared to other methods in terms of both achieving all the goals and minimizing the computational time with reasonable population and generation sizes. The objectives of the problem in normal operation are to optimize the system performance and efficiency in terms of maximizing the operating voltage and minimizing the branch loading. The operation cost will be reduced by minimizing the real power losses. This should be achieved with a small number of switching operations. The objectives of the problem in normal operation are to minimize real power losses and improve the voltage profile and load-balancing index with minimum switching operations. In this dissertation, a load shedding strategy based on priority customers, minimization of the number of affected buses, and minimization of the number of switching operations is introduced. To test the algorithm, it was applied to three widely studied test systems and a real one. The results show the efficiency of this algorithm as compared to other methods in terms of achieving all the objectives simultaneously with reasonable population and generation sizes and without using a mutation rate, which is usually problem-dependent.

scholarly journals Reconfiguration of distribution system and optimal dg placement DG to enhance voltage profile and reduce losses

2018 ◽  
Vol 7 (2.21) ◽  
pp. 34
Author(s):  
Thummala Ravi Kumar ◽  
Gattu Kesava Rao
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Hybrid Algorithm ◽  
Voltage Profile ◽  
Power Losses ◽  
Loss Minimization ◽  
Swarm Optimization ◽  
System Reconfiguration ◽  
Combined Algorithm ◽  
The Ideal

System reconfiguration which is compelled non linear enhancement issue has been tackled for loss minimization, load balancing, and so on. Another factor of equivalent significance is of DG plays a critical responsibility in the management of distribution system. It’s important to optimize its size and location in order extract maximum benefits of its placement. There are number reasons for optimizing the location and sizing, chief among them being reduce power loss and enhancement of voltage profile. Here a hybrid algorithm is proposed for reconfiguration and DG siting is employed to enhance the benefits of DG placement. Non Sorted Genetic Algorithm (NSGA) is employed to reconfigure the distribution system prior to the placement of DG. Once the system is reconfigured, Particle Swarm Optimization (PSO) is employed to recognize the ideal size and placement of DG. The results exhibit the suitability of this combined algorithm in terms reduced power losses and enhanced voltage profile. Results are compared and analyzed for DG placement with and without reconfiguration for IEEE 69 bus distribution system.  

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