scholarly journals IMPROVED BABOON ALGORITHM FOR MINIMIZATION OF REAL POWER LOSS

2017 ◽  
Vol 5 (1) ◽  
pp. 33-42
Author(s):  
K. Lenin ◽  
B.Ravindhranath Reddy ◽  
M.Surya Kalavathi
Keyword(s):  
Power Loss ◽  
Reactive Power ◽  
Real Power ◽  
The Real ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Reactive Power Dispatch ◽  
Simulation Results ◽  
Better Than ◽  
Bus System

This paper projects Improved Baboon Algorithm (IBA) for solving the Reactive Power dispatch problem. The key feature in this problem is reduction of real power loss and to keep voltage profiles within limits. This algorithm is inspired from the tree climbing procedures of Baboons, where the Baboons look for the highest tree by climbing up from their positions. The simulation results expose amended performance of the IBA in solving an optimal reactive power dispatch problem. In order to evaluate up the performance of the proposed algorithm, it has been tested on Standard IEEE 30 bus system and compared to other stated algorithms. Simulation results show that IBA is better than other algorithms in reducing the real power loss and voltage profiles also within the limits.

scholarly journals Passerine swarm optimization algorithm for solving optimal reactive power dispatch problem

2020 ◽  
Vol 9 (2) ◽  
pp. 101
Author(s):  
Lenin Kanagasabai
Keyword(s):  
Optimization Algorithm ◽  
Power Loss ◽  
Reactive Power ◽  
Passerine Bird ◽  
Swarm Optimization ◽  
Real Power ◽  
The Real ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Reactive Power Dispatch

<span>This paper presents Passerine Swarm Optimization Algorithm (PSOA) for solving optimal reactive power dispatch problem. This algorithm is based on behaviour of social communications of Passerine bird. Basically, Passerine bird has three common behaviours: search behaviour, adherence behaviour and expedition behaviour. Through the shared communications Passerine bird will search for the food and also run away from hunters. By using the Passerine bird communications and behaviour, five basic rules have been created in the PSOA approach to solve the optimal reactive power dispatch problem. Key aspect is to reduce the real power loss and also to keep the variables within the limits. Proposed Passerine Swarm Optimization Algorithm (PSOA) has been tested in standard IEEE 30 bus test system and simulations results reveal about the better performance of the proposed algorithm in reducing the real power loss and enhancing the static voltage stability margin</span>

Factual Power Loss Diminution by Enhanced Frog Leaping Algorithm

2020 ◽  
Vol 3 (2) ◽  
pp. 114-118
Author(s):  
Kanagasabai Lenin
Keyword(s):  
Local Search ◽  
Power Loss ◽  
Reactive Power ◽  
Test System ◽  
Premature Convergence ◽  
Speed Of Convergence ◽  
Real Power ◽  
The Real ◽  
Simulation Results ◽  
Power Problem

This paper proposes Enhanced Frog Leaping Algorithm (EFLA) to solve the optimal reactive power problem. Frog leaping algorithm (FLA) replicates the procedure of frogs passing though the wetland and foraging deeds. Set of virtual frogs alienated into numerous groups known as “memeplexes”. Frog’s position’s turn out to be closer in every memeplex after few optimization runs and certainly, this crisis direct to premature convergence. In the proposed Enhanced Frog Leaping Algorithm (EFLA) the most excellent frog information is used to augment the local search in each memeplex and initiate to the exploration bound acceleration. To advance the speed of convergence two acceleration factors are introduced in the exploration plan formulation. Proposed Enhanced Frog Leaping Algorithm (EFLA) has been tested in standard IEEE 14,300 bus test system and simulation results show the projected algorithm reduced the real power loss considerably.

scholarly journals ENHANCED SPIDER ALGORITHM FOR MINIMIZATION OF REAL POWER LOSS

2018 ◽  
Vol 6 (4) ◽  
pp. 301-311
Author(s):  
K. Lenin
Keyword(s):  
Power Loss ◽  
Reactive Power ◽  
High Quality ◽  
Quality Performance ◽  
Real Power ◽  
Social Spiders ◽  
The Real ◽  
Spider Web ◽  
Simulation Results ◽  
Power Problem

In this paper Enhanced Spider (ES) algorithm is proposed to solve reactive power Problem. Enthused by the spiders, a new Enhanced Spider (ES) algorithm is utilized to solve reactive power problem. The composition is primarily based on the foraging approach of social spiders, which make use of of the vibrations spread over the spider web to choose the position of prey. The simulation results demonstrate high-quality performance of Enhanced Spider (ES) algorithm in solving reactive power problem.  The projected Enhanced Spider (ES) algorithm has been tested in standard IEEE 57,118 bus systems and compared to other reported standard algorithms. Results show that Enhanced Spider (ES) algorithm is more efficient than other algorithms in reducing the real power loss.

scholarly journals ENHANCED MINE BLAST ALGORITHM FOR SOLVING REACTIVE POWER PROBLEM

2017 ◽  
Vol 5 (9) ◽  
pp. 206-216
Author(s):  
K. Lenin
Keyword(s):  
Power Loss ◽  
Reactive Power ◽  
Convergence Speed ◽  
Superior Performance ◽  
Real Power ◽  
The Real ◽  
Test Systems ◽  
Simulation Results ◽  
Bomb Explosion ◽  
Power Problem

In this paper Enhanced Mine Blast (EMB) algorithm which based on mine bomb explosion concept is proposed to solve optimal reactive power problem.The clue of the projected Enhanced Mine Blast (EMB) algorithm is based on the examination of a mine bomb explosion, in which the thrown pieces of shrapnel crash with other mine bombs near the explosion area resulting in their explosion. In this paper convergence speed has been enhanced. Proposed Enhanced Mine Blast (EMB) algorithm has been tested in standard IEEE 118 & practical 191 bus test systems and simulation results show clearly the superior performance of the projected Enhanced Mine Blast (EMB) algorithm in reducing the real power loss.

scholarly journals Optimal Reactive Power Dispatch untuk Meminimalkan Rugi Daya Menggunakan Flower Pollination Algorithm

2019 ◽  
Vol 11 (2) ◽  
pp. 36-43
Author(s):  
Fredi Prima Sakti ◽  
Jimmy Trio Putra
Keyword(s):  
Power Loss ◽  
Reactive Power ◽  
Linear Optimization ◽  
Electric Power System ◽  
Flower Pollination Algorithm ◽  
Flower Pollination ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Reactive Power Dispatch ◽  
Bus Voltage

This paper presents the Flower Pollination Algorithm (FPA) metaheuristic used to solve the Optimal Reactive Power Dispatch (ORPD) problem. ORPD is a non-linear optimization problem in the electric power system that regulates the generation of reactive power at the generator to minimize the real power loss on the transmission line while maintaining all parameters at the allowable value. In this case the FPA algorithm is used to find the minimum power loss by adjusting the voltage magnitude value of the generator, the transformer tap settings, and the reactive power compensator value in the system while maintaining the magnitude of the bus voltage, active and reactive power at the generator, and the channel capacity remains at its safe limit. ORPD is applied to the IEEE-30 Bus system test consisting of 8 generating units, 4 transformers, 9 reactive power compensators and 41 channels. The system has a load of 283.4 MW and 126.2 MVAR. The results after being optimized using FPA shows the power loss in the channel is reduced to 4,895 MW or reduced by 15.89%. The results of optimization using FPA showed better results compared to Genetic Algorithm and Particle Swarm Optimization.

scholarly journals UNIQUE ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM

2017 ◽  
Vol 5 (2) ◽  
pp. 122-134
Author(s):  
K. Lenin
Keyword(s):  
Minimum Distance ◽  
Antarctic Krill ◽  
Reactive Power ◽  
Test System ◽  
Krill Herd Algorithm ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Krill Herd ◽  
Reactive Power Dispatch ◽  
Simulation Results

In this paper, a new algorithm based on krill herd actions, named as Antarctic krill Herd Algorithm (AKHA) is proposed for solving optimal reactive power dispatch problem. The AKHA algorithm is based on behavior of krill individuals. The minimum distance of each individual krill from food and from uppermost density of the herd are deliberated as the foremost mission for the krill movement. Projected AKHA algorithm has been tested in standard IEEE 30 bus test system and simulation results shows clearly about the good performance of the proposed algorithm in reducing the real power loss and voltage stability also improved.

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