scholarly journals Distribution Network Reconfiguration of Radial Distribution Systems for Power Loss Minimization Using Improved Harmony Search Algorithm

2020 ◽  
Vol 12 (2) ◽  
pp. 341-358
Author(s):  
Pavan Khetrapal ◽  
Keyword(s):  
Radial Distribution ◽  
Power Loss ◽  
Distribution Systems ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Network Reconfiguration ◽  
Loss Minimization ◽  
Improved Harmony Search ◽  
Improved Harmony Search Algorithm

IMPROVED HARMONY SEARCH ALGORITHM BASED OPTIMAL LOAD SHEDDING FOR RADIAL DISTRIBUTION SYSTEMS WITHOUT AND WITH DISTRIBUTED GENERATIONS

2015 ◽  
Vol 75 (1) ◽  
Author(s):  
R. Mageshvaran ◽  
T. Jayabarathi
Keyword(s):  
Radial Distribution ◽  
Distribution Systems ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Load Shedding ◽  
Distributed Generations ◽  
Optimal Load ◽  
Improved Harmony Search ◽  
Improved Harmony Search Algorithm

The main aim of the electric utilities is to provide a continuous and reliable supply without violating system constraints and operational limits. But during contingencies, system frequency and voltages get declined owing to real and reactive power deficiencies. These situations may lead to cascaded failures and complete blackout in the system. In order to reduce the risk of cascaded outage and blackout, load shedding has been considered as a preventive scheme. This paper presents a new music inspired harmony based optimization algorithm known as improved harmony search algorithm (IHSA) to find an optimal load shedding strategy for radial distribution systems during an overload contingency. The radial distribution systems are the final link of the interconnection between power systems and the consumers with unidirectional power flows. Overload contingency in the radial distribution systems without and with installed distributed generations (DGs) are the two cases considered in this paper. By the introduction of the distributed generations, the electrical distribution system has a locally looped system and bidirectional power flows. The main objective of the proposed algorithm is to minimize the sum of curtailed load based on their assigned degree of importance and system losses within the operational and security constraints of the system. The proposed method has been tested on IEEE 12-bus, 33-bus and 69-bus radial distribution systems. The feasibility of the proposed algorithm has been established and compared with genetic algorithm (GA) in terms of solution quality over realistic test systems considered.

scholarly journals Hybrid Multilevel Thresholding and Improved Harmony Search Algorithm for Segmentation

2018 ◽  
Vol 8 (6) ◽  
pp. 4593 ◽  
Author(s):  
Erwin Erwin ◽  
Saparudin Saparudin ◽  
Wulandari Saputri
Keyword(s):  
High Performance ◽  
Search Algorithm ◽  
Signal To Noise Ratio ◽  
Harmony Search ◽  
Optimal Solution ◽  
Harmony Search Algorithm ◽  
Multilevel Thresholding ◽  
Improved Harmony Search ◽  
High Degree ◽  
Improved Harmony Search Algorithm

This paper proposes a new method for image segmentation is hybrid multilevel thresholding and improved harmony search algorithm. Improved harmony search algorithm which is a method for finding vector solutions by increasing its accuracy. The proposed method looks for a random candidate solution, then its quality is evaluated through the Otsu objective function. Furthermore, the operator continues to evolve the solution candidate circuit until the optimal solution is found. The dataset used in this study is the retina dataset, tongue, lenna, baboon, and cameraman. The experimental results show that this method produces the high performance as seen from peak signal-to-noise ratio analysis (PNSR). The PNSR result for retinal image averaged 40.342 dB while for the average tongue image 35.340 dB. For lenna, baboon and cameramen produce an average of 33.781 dB, 33.499 dB, and 34.869 dB. Furthermore, the process of object recognition and identification is expected to use this method to produce a high degree of accuracy.

scholarly journals An Improved Harmony Search Algorithm with Differential Mutation Operator

2009 ◽  
Vol 95 (4) ◽  
pp. 401-426 ◽  
Author(s):  
Prithwish Chakraborty, ◽  
Gourab Ghosh Roy ◽  
Swagatam Das ◽  
Dhaval Jain ◽  
Ajith Abraham
Keyword(s):  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Mutation Operator ◽  
Improved Harmony Search ◽  
Improved Harmony Search Algorithm

scholarly journals Symbiotic Organism Search Algorithm for Power Loss Minimization in Radial Distribution Systems by Network Reconfiguration and Distributed Generation Placement

2020 ◽  
Vol 2020 ◽  
pp. 1-22
Author(s):  
Tung Tran The ◽  
Sy Nguyen Quoc ◽  
Dieu Vo Ngoc
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Power Loss ◽  
Distribution Systems ◽  
Large Scale ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Distribution Networks ◽  
Network Reconfiguration ◽  
Symbiotic Organism Search

This paper proposes the Symbiotic Organism Search (SOS) algorithm to find the optimal network configuration and the placement of distributed generation (DG) units that minimize the real power loss in radial distribution networks. The proposed algorithm simulates symbiotic relationships such as mutualism, commensalism, and parasitism for solving the optimization problems. In the optimization process, the reconfiguration problem produces a large number of infeasible network configurations. To reduce these infeasible individuals and ensure the radial topology of the network, the graph theory was applied during the power flow. The implementation of the proposed SOS algorithm was carried out on 33-bus, 69-bus, 84-bus, and 119-bus distribution networks considering seven different scenarios. Simulation results and performance comparison with other optimization methods showed that the SOS-based approach was very effective in solving the network reconfiguration and DG placement problems, especially for complex and large-scale distribution networks.

Improved Harmony Search Algorithm with Crossover Operation

2013 ◽  
Vol 415 ◽  
pp. 353-356 ◽  
Author(s):  
Hong Gang Xia ◽  
Qing Liang Wang
Keyword(s):  
Search Algorithm ◽  
Harmony Search ◽  
Optimization Methods ◽  
Optimization Method ◽  
Harmony Search Algorithm ◽  
Perfect State ◽  
Intelligent Optimization ◽  
New Variant ◽  
Improved Harmony Search ◽  
Improved Harmony Search Algorithm

Harmony search (HS) algorithm is a good meta-heuristic intelligent optimization method and it does depend on imitating the music improvisation process to generate a perfect state of harmony. However, intelligent optimization methods is easily trapped into local optimal, HS is no exception. In order to improve the performance of HS, a new variant of harmony search algorithm is proposed in this paper. The variant introduce a new crossover operation into HS, and design a strategy to adjust parameter pitch adjusting rate (PAR) and bandwidth (BW). Several standard benchmarks carried out to be tested. The numerical results demonstrated that the superiority of the proposed method to the HS and recently developed variants (IHS, and GHS).

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