scholarly journals Firefly algorithm based solution to minimize the real power loss in a power system

2018 ◽  
Vol 9 (1) ◽  
pp. 89-100 ◽  
Author(s):  
P. Balachennaiah ◽  
M. Suryakalavathi ◽  
P. Nagendra
Keyword(s):  
Power System ◽  
Power Loss ◽  
Firefly Algorithm ◽  
Real Power ◽  
The Real

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 Application of Firefly Algorithm in Voltage Stability Environment Incorporating Circuit Element Model of SSSC with Variable Susceptance Model of SVC

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Luke Jebaraj ◽  
Charles Christober Asir Rajan ◽  
Kumar Sriram
Keyword(s):  
Power Loss ◽  
Voltage Stability ◽  
Firefly Algorithm ◽  
Stability Limit ◽  
Operating Conditions ◽  
Voltage Profile ◽  
Loss Minimization ◽  
Circuit Element ◽  
Real Power ◽  
Power Loss Minimization

This paper proposes an application of firefly algorithm (FA) based extended voltage stability margin and minimization of active (or) real power loss incorporating Series-Shunt flexible AC transmission system (FACTS) controller named as static synchronous series compensator (SSSC) combined with static var compensator (SVC). A circuit model of SSSC and variable susceptance model of SVC are utilized to control the line power flows and bus voltage magnitudes, respectively, for real power loss minimization and voltage stability limit improvement. The line quality proximity index (LQP) is used to assess the voltage stability of a power system. The values of voltage profile improvement, real power loss minimization, and the location and size of FACTS devices were optimized by FA. The results are obtained from the IEEE 14- and 30-bus test case systems under different operating conditions and compared with other leading evolutionary techniques such as shuffled frog leaping algorithm (SFLA), differential evolution (DE) and particle swarm optimization (PSO).

Study of Distributed Generation Units Impact on Pricing on the Wholesale Power Energy Market

2015 ◽  
Vol 799-800 ◽  
pp. 1199-1205 ◽  
Author(s):  
Ilya D. Polyakov ◽  
Stepan A. Dmitriev ◽  
Pavel V. Chusovitin
Keyword(s):  
Cost Effectiveness ◽  
Power System ◽  
Impact Assessment ◽  
Distributed Generation ◽  
Electricity Market ◽  
Energy Market ◽  
Real Power ◽  
The Real ◽  
Wholesale Electricity Market ◽  
The Cost

This paper is devoted to the study of distributed generation units impact on pricing on the wholesale power energy market. The paper deals with results the analysis of the wholesale electricity market and power. This analysis is necessary for proper impact assessment of distributed generation units on a total optimization. Optimization calculations performed for the real power system, when distributed generation units operating the basic and peak modes, as well as the cost-effectiveness of this modes.

Synergism of MW and Mvar Losses for Contingency Ranking Using Fuzzy Approach

2006 ◽  
Vol 5 (1) ◽  
Author(s):  
Yogesh Kumar Bichpuriya ◽  
P K Kalra ◽  
Ajay Kumar Saxena
Keyword(s):  
Power System ◽  
Detailed Analysis ◽  
Power Flow ◽  
Test System ◽  
Security Assessment ◽  
Fuzzy Approach ◽  
Real Power ◽  
The Real ◽  
Rank List ◽  
Contingency Ranking

Security assessment of a power system is very important function to detect any violation in the system and to ensure secure operation of the system in deregulated environment. Contingency ranking is the process of indexing the possible contingencies of system on the basis of their severity. The contingencies of higher ranking are further analyzed for detailed analysis. The contingencies based on the real power flow and the voltage deviations should be dealt simultaneously for better ranking. The paper presents fuzzy approach to combine ranking based on MW and Mvar losses and a new rank list is prepared. The proposed approach is tested on IEEE-30 bus test system.

scholarly journals SUPERLATIVE ALGORITHM FOR REDUCTION OF ACTIVE POWER LOSS

2017 ◽  
Vol 5 (10) ◽  
pp. 101-111
Author(s):  
K. Lenin
Keyword(s):  
Power Loss ◽  
Reactive Power ◽  
Optimization Methods ◽  
Direction Finding ◽  
Active Power ◽  
Real Power ◽  
The Real ◽  
Spinner Dolphin ◽  
Result Show ◽  
Power Problem

This paper proposes Spinner Dolphin Algorithm (SDA) for solving optimal reactive power problem. Echolocation is the genetic sonar used by Spinner dolphin & it used by few kinds of other animals for direction-finding, hunting in diverse environments. This ability of Spinner dolphin is imitated in this paper to develop a new-fangled procedure for solving optimal reactive power problem. Spinner Dolphin Algorithm (SDA) takes reward of the overriding rules and outperforms many vigorous optimization methods. The new-fangled approach SDA leads to exceptional results with small computational efforts. In order to evaluate the efficiency of the proposed algorithm, it has been tested Standard IEEE 57,118 bus systems and compared to other specified algorithms. Simulation result show that Spinner Dolphin Algorithm (SDA) is advanced to other algorithms in reducing the real power loss and voltage profiles are within the limits

Sign in / Sign up

Export Citation Format

Share Document