scholarly journals Optimal network reconfiguration for power loss minimization and voltage profile enhancement in distribution systems

Heliyon ◽  
2020 ◽  
Vol 6 (6) ◽  
pp. e04233 ◽  
Author(s):  
Ayodeji Olalekan Salau ◽  
Yalew Werkie Gebru ◽  
Dessalegn Bitew
Keyword(s):  
Power Loss ◽  
Distribution Systems ◽  
Network Reconfiguration ◽  
Voltage Profile ◽  
Loss Minimization ◽  
Power Loss Minimization ◽  
Optimal Network

scholarly journals Power Loss Minimization and Voltage Stability Improvement in Electrical Distribution System via Network Reconfiguration and Distributed Generation Placement Using Novel Adaptive Shuffled Frogs Leaping Algorithm

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 553 ◽  
Author(s):  
Arun Onlam ◽  
Daranpob Yodphet ◽  
Rongrit Chatthaworn ◽  
Chayada Surawanitkun ◽  
Apirat Siritaratiwat ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Network Reconfiguration ◽  
Loss Minimization ◽  
Power Loss Minimization ◽  
Electrical Distribution ◽  
Power Loss Reduction

This paper proposes a novel adaptive optimization algorithm to solve the network reconfiguration and distributed generation (DG) placement problems with objective functions including power loss minimization and voltage stability index (VSI) improvement. The proposed technique called Adaptive Shuffled Frogs Leaping Algorithm (ASFLA) was performed for solving network reconfiguration and DG installation in IEEE 33- and 69-bus distribution systems with seven different scenarios. The performance of ASFLA was compared to that of other algorithms such as Fireworks Algorithm (FWA), Adaptive Cuckoo Search Algorithm (ACSA) and Shuffled Frogs Leaping Algorithm (SFLA). It was found that the power loss and VSI provided by ASFLA were better than those given by FWA, ACSA and SFLA in both 33- and 69-bus systems. The best solution of power loss reduction and VSI improvement of both 33- and 69-bus systems was achieved when the network reconfiguration with optimal sizing and the location DG were simultaneously implemented. From our analysis, it was indicated that the ASFLA could provide better solutions than other methods since the generating process, local and global searching of this algorithm were significantly improved from a conventional method. Hence, the ASFLA becomes another effective algorithm for solving network reconfiguration and DG placement problems in electrical distribution systems.

scholarly journals Optimal Reconfiguration of Distribution Network in Presence of D-STATCOM and Photovoltaic Array using a Metaheuristic Algorithm

2020 ◽  
Vol 4 (5) ◽  
Author(s):  
Kola Sampangi Sambaiah ◽  
T. Jayabarathi
Keyword(s):  
Optimization Algorithm ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Systems ◽  
Flower Pollination Algorithm ◽  
Network Reconfiguration ◽  
Voltage Profile ◽  
Photovoltaic Array ◽  
Optimal Network ◽  
Grasshopper Optimization Algorithm

In this paper, grasshopper optimization algorithm (GOA) a novel meta-heuristic optimization algorithm is used to solve the network reconfiguration problem in presence of distribution static compensator (D-STATCOM) and photovoltaic (PV) arrays in a distribution system. Here, D-STATCOM acts as distribution flexible ac transmission (D-FACT) device and PV arrays as decentralized or distributed generation (DG). The main purpose of the present research includes power loss minimization and voltage profile (VP) enhancement in radial distribution systems under different loading conditions. The proposed GOA is based on swarming behavior of grasshoppers in nature. The proposed GOA is validated using the standard 33, 69 and 118 – bus test systems. The simulation results proved that the optimal network reconfiguration in presence of D-STATCOM units and PV arrays leads to significant reduction in power loss and enhancement in VP. The results obtained by the proposed GOA are compared with base value and found that the optimal network reconfiguration in presence of D-STATCOM and PV arrays is more beneficial than individual objective optimization. Also, the proposed GOA is more accurate, efficient and reliable in finding optimal solution when compared to existing modified flower pollination algorithm (MFPA), firework algorithm (FWA), fuzzy-based ant colony optimization (ACO) and genetic algorithm (GA).

scholarly journals A Novel Graphically-Based Network Reconfiguration for Power Loss Minimization in Large Distribution Systems

Mathematics ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. 1182 ◽  
Author(s):  
Ibrahim Mohamed Diaaeldin ◽  
Shady H. E. Abdel Aleem ◽  
Ahmed El-Rafei ◽  
Almoataz Y. Abdelaziz ◽  
Ahmed F. Zobaa
Keyword(s):  
Power Loss ◽  
Distribution Systems ◽  
Applied Mathematics ◽  
Optimization Techniques ◽  
Total Power ◽  
Network Reconfiguration ◽  
Loss Minimization ◽  
Power Loss Minimization ◽  
Node Distribution ◽  
Large Distribution

Distribution network reconfiguration (DNR) is the optimized change in the topological structure of distribution systems without violating its radial configuration. DNR has been of interest in applied mathematics and engineering because of its importance in modern power systems. In literature, various optimization techniques that constitute a large area of applied mathematics were proposed to obtain optimized radial configurations; however, most of them were tested in small distribution systems. In this paper, a novel graphically-based DNR is proposed to obtain the optimized radial configurations for power loss minimization. The proposed DNR is based on the graphical representation of the distribution system without any need for a radiality check. Case studies were conducted on 16-, 33-, 70-, 83-, 136-, 415-, 880-, 1760-, and 4400-node distribution systems in order to minimize the total power loss. Results have proven the ability of the proposed graphical DNR for power loss minimization by obtaining fast radial configurations in comparison with previous studies and also its ability to deal with large distribution systems efficiently. The proposed DNR succeeded in minimizing the total losses for large distribution systems as the 880-, 1760-, and 4400-node distribution systems by 69.45%, 72.51%, and 74.35%, respectively.

scholarly journals Impact of Distributed Generation on Network Reconfiguration for Power Loss Minimization in Radial Distribution System by Hybrid Algorithm

2019 ◽  
Vol 8 (3) ◽  
pp. 8020-8025
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Cuckoo Search ◽  
Network Reconfiguration ◽  
Voltage Profile ◽  
Power Losses ◽  
Loss Minimization ◽  
Power Loss Minimization ◽  
System Power ◽  
Tie Line

Feeder reconfiguration is a planning to change the system configuration by altering the existing tie-line and sectionalizing switches status for minimizing the system losses. Hence, the network reconfiguration is essential in distribution system to minimizing system power losses. Reduction of power loss is much considerable role in power flow of distribution network in evaluating system performance. There are several methods have been proposed for reduction of system power losses and voltage improvement. This paper mainly employs feeder reconfiguration for power loss minimization and voltage improvement using opening and closing tie line and sectionalizing switches by hybrid binary particle swarm and cuckoo search algorithm. As a consequence in this operation, there is significant improvement of voltage profile, freeing up and power loss minimization. The system performance is evaluated and tested in 33 bus system, and simulation is carried out using Matlab simulation platform. For optimal switching strategy, the cuckoo search and hybrid particle swarm optimization algorithm are implemented and showed better improvement in voltage profile, minimization of real power loss and percentage of power loss reduction.

scholarly journals Power Loss Minimization in Radial Distribution Networks Using Reconfiguration and DGs

2017 ◽  
Vol 7 (3) ◽  
pp. 583 ◽  
Author(s):  
Sarfaraz Nawaz ◽  
Ajay Kumar Bansal ◽  
Mahaveer Prasad Sharma
Keyword(s):  
Power Loss ◽  
Hybrid Approach ◽  
Distribution Networks ◽  
Voltage Sensitivity ◽  
Total System ◽  
Network Reconfiguration ◽  
Voltage Profile ◽  
Loss Minimization ◽  
Real Power ◽  
Power Loss Minimization

A novel approach is proposed in this paper to achieve the objective of real power loss minimization and voltage profile enhancement. Network reconfiguration and allocation of various DG units are used to meet the objective. Selective particle swarm Optimization (SPSO) and novel analytical techniques are used to solve the problem of network reconfiguration and allocation of DG units simultaneously.  A new constant, Power Voltage Sensitivity Constant (PVSC), has been proposed to solve the allocation problem. The formulated mathematical expression (PVSC) determines site and size of DG units.  The level of DG penetration is considered in a range of 0–50% of total system load. A novel index is also proposed which incorporates level of DG penetration and % reduction in real power losses. Standard 69 bus system is used to validate the results obtained by proposed hybrid approaches. To show the efficacy and strength of the proposed hybrid approach, it has been compared with various techniques

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