scholarly journals Determining optimal location and size of capacitors in radial distribution networks using moth swarm algorithm

2020 ◽  
Vol 10 (5) ◽  
pp. 4514
Author(s):  
Thanh Long Duong ◽  
Thuan Thanh Nguyen ◽  
Van-Duc Phan ◽  
Thang Trung  Nguyen
Keyword(s):  
Radial Distribution ◽  
Power Loss ◽  
Solution Method ◽  
Distribution Networks ◽  
Test System ◽  
Optimal Location ◽  
Effective Solution ◽  
Voltage Profile ◽  
Radial Distribution Networks ◽  
Swarm Algorithm

In this study, the problem of optimal capacitor location and size determination (OCLSD) in radial distribution networks for reducing losses is unraveled by moth swarm algorithm (MSA). MSA is one of the most powerful meta-heuristic algorithm that is taken from the inspiration of the food source finding behavior of moths. Four study cases of installing different numbers of capacitors in the 15-bus radial distribution test system including two, three, four and five capacitors areemployed to run the applied MSA for an investigation of behavior and assessment of performances. Power loss and the improvement of voltage profile obtained by MSA are compared with those fromother methods. As a result, it can be concluded that MSA can give a good truthful and effective solution method for OCLSD problem.

scholarly journals Enhancing active radial distribution networks by optimal sizing and placement of DGs using modified crow search algorithm

2019 ◽  
Vol 16 (3) ◽  
pp. 1179 ◽  
Author(s):  
Mohamed Abdelbadea ◽  
Tarek A. Boghdady ◽  
Doaa Khalil Ibrahim
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Search Algorithm ◽  
Reducing Power ◽  
Distribution Networks ◽  
Voltage Profile ◽  
Network Efficiency ◽  
Weighted Sum Method ◽  
Radial Distribution Networks

<p>Incorporating many Distributed Generators (DGs) technologies in power system networks has grown rapidly in recent years. Distributed generation (DG) plays a key role in reducing power loss and enhancing the voltage profile in radial distribution networks. However, inappropriate DGs site or size may cut network efficiency; moreover, injecting harmonics is one of the integration concerns of inverter-based DGs. Two-procedure based approach is introduced in this paper. The first procedure solves the DGs siting and sizing problem, as a multi-objective one by improving the voltage profile of the whole distribution network and also reducing its power loss. A weighted sum method is presented to create the Pareto optimal front in this procedure and get the compromised solution by applying a novel metaheuristic optimizer, named Crow Search Algorithm (CSA). A modification on CSA is also proposed and applied to improve its performance. The achieved solution for inverter-based DGs placement and size is checked in the second procedure to make sure the accepted voltage THD at all buses by implementing detailed simulation for the tested system using Matlab/Simulink. The proposed approach has been tested on IEEE 33-bus radial distribution system with photovoltaic DGs. To confirm the superiority of the modified CSA algorithm in terms of quality of solution, its achieved results are compared with the results offered by the original CSA algorithm and published results of some other nature-inspired algorithms.</p>

scholarly journals Simple Quadratic Interpolation-Inspired Symbiosis Organisms Search Algorithm for Optimal Placement of Capacitors in Radial Distribution Networks with Different Loading Models

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-28
Author(s):  
Tri Phuoc Nguyen ◽  
Tuan Trong Nguyen ◽  
Trung Hieu Quang ◽  
Dieu Ngoc Vo ◽  
Mohammad Hassan Khooban
Keyword(s):  
Radial Distribution ◽  
Search Algorithm ◽  
Operating Cost ◽  
Optimization Methods ◽  
Distribution Networks ◽  
Test System ◽  
Optimal Placement ◽  
Placement Problem ◽  
Quadratic Interpolation ◽  
Radial Distribution Networks

This paper proposes a novel hybrid algorithm based on a combination of the simple quadratic interpolation and the symbiosis organisms search algorithm (SQI-SOS) for finding the optimal location and size of capacitors in radial distribution networks. The objective of the problem is to minimize the system operating cost so that the net yearly savings of the system are increased. The effectiveness of the SQI-SOS has been tested on 33-, 69-, and 119-bus radial distribution networks with different load models. The obtained results from the test system by the proposed SQI-SOS are compared with those from the conventional SOS and other mature optimization methods in the literature. The result comparison has shown that the proposed SQI-SOS algorithm can provide a better solution than the other methods. Accordingly, the proposed SQI-SOS can be a very effective and efficient method for dealing with the optimal capacitor placement problem in distribution networks.

A New Power Flow Algorithm for Passive and Active Radial Distribution Networks

2018 ◽  
Vol 40 ◽  
pp. 101-118 ◽  
Author(s):  
M.A. Abdelkader ◽  
Mostafa A. Elshahed ◽  
Zeinab H. Osman
Keyword(s):  
Convergence Rate ◽  
Radial Distribution ◽  
Distribution Systems ◽  
Distribution Networks ◽  
High Ratio ◽  
Load Flow ◽  
Voltage Profile ◽  
Forward Algorithm ◽  
High Convergence Rate ◽  
Radial Distribution Networks

Due to the rapid increase in electricity consumption, there is a tendency to install distributed generations (DGs) at the level of distribution systems. Therefore, the distribution systems become active, and special load flow methods have to be developed and applied due to its radial structure and the relatively high ratio of resistance to reactance components. This paper presents a new forward algorithm for balanced three-phase load-flow analysis of radial distribution networks (RDNs). Kirchhoff’s Current Law and Kirchhoff’s Voltage Law are utilized. However, a new arrangement of these equations is presented based on formation of virtual slack buses and subsystems truncated from the original network during iteration. The proposed algorithm firstly applied on three IEEE benchmark RDNs with different cases such as different load models, various loading levels to illustrate the convergence even high loading, and inserted DGs,; then it is applied on a real system in Egypt. Its high convergence rate is tested for the DG optimization problem. Further, the virtual subsystems can be utilized to recognize quickly the effect of load changes on the bus voltage profile. The results show that the proposed algorithm is more accurate, not sensitive to initial value, simple equations are used, and robust with high convergence rate because of employing the updated bus voltages immediately after determining their value.

scholarly journals A Hybrid Optimization Approach for Power Loss Reduction and DG Penetration Level Increment in Electrical Distribution Network

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6008
Author(s):  
Teketay Mulu Beza ◽  
Yen-Chih Huang ◽  
Cheng-Chien Kuo
Keyword(s):  
Power Loss ◽  
Distribution Network ◽  
Distribution Networks ◽  
Test System ◽  
Base Case ◽  
Optimization Approach ◽  
Loss Reduction ◽  
Voltage Profile ◽  
Electrical Distribution ◽  
Power Loss Reduction

The electrical distribution system has experienced a number of important changes due to the integration of distributed and renewable energy resources. Optimal integration of distributed generators (DGs) and distribution network reconfiguration (DNR) of the radial network have significant impacts on the power system. The main aim of this study is to optimize the power loss reduction and DG penetration level increment while keeping the voltage profile improvements with in the permissible limit. To do so, a hybrid of analytical approach and particle swarm optimization (PSO) are proposed. The proposed approach was tested on 33-bus and 69-bus distribution networks, and significant improvements in power loss reduction, DG penetration increment, and voltage profile were achieved. Compared with the base case scenario, power loss was reduced by 89.76% and the DG penetration level was increased by 81.59% in the 69-bus test system. Similarly, a power loss reduction of 82.13% and DG penetration level increment of 80.55% was attained for the 33-bus test system. The simulation results obtained are compared with other methods published in the literature.

Sign in / Sign up

Export Citation Format

Share Document