Solving ORPD problem with modal analysis by differential evolution

2014 ◽  
Author(s):  
J. Jithendranath ◽  
B. Yogesh Babu
Keyword(s):  
Differential Evolution ◽  
Modal Analysis

scholarly journals Cost Minimizations and Performance Enhancements of Power Systems Using Spherical Prune Differential Evolution Algorithm Including Modal Analysis

2021 ◽  
Vol 13 (14) ◽  
pp. 8113
Author(s):  
Sherif S.M. Ghoneim ◽  
Mohamed F. Kotb ◽  
Hany M. Hasanien ◽  
Mosleh M. Alharthi ◽  
Attia A. El-Fergany
Keyword(s):  
Power Systems ◽  
Differential Evolution ◽  
Modal Analysis ◽  
Optimal Power Flow ◽  
Large Scale ◽  
Optimization Problems ◽  
Differential Evolution Algorithm ◽  
Stability Index ◽  
Pareto Solution ◽  
Evolution Algorithm

A novel application of the spherical prune differential evolution algorithm (SpDEA) to solve optimal power flow (OPF) problems in electric power systems is presented. The SpDEA has several merits, such as its high convergence speed, low number of parameters to be designed, and low computational procedures. Four objectives, complete with their relevant operating constraints, are adopted to be optimized simultaneously. Various case studies of multiple objective scenarios are demonstrated under MATLAB environment. Static voltage stability index of lowest/weak bus using modal analysis is incorporated. The results generated by the SpDEA are investigated and compared to standard multi-objective differential evolution (MODE) to prove their viability. The best answer is chosen carefully among trade-off Pareto points by using the technique of fuzzy Pareto solution. Two power system networks such as IEEE 30-bus and 118-bus systems as large-scale optimization problems with 129 design control variables are utilized to point out the effectiveness of the SpDEA. The realized results among many independent runs indicate the robustness of the SpDEA-based approach on OPF methodology in optimizing the defined objectives simultaneously.

Differential Evolution Technique for the Optimization of Reactive Power Reserves

2017 ◽  
Vol 26 (10) ◽  
pp. 1750155 ◽  
Author(s):  
Biplab Bhattacharyya ◽  
Saurav Raj
Keyword(s):  
Differential Evolution ◽  
Modal Analysis ◽  
Voltage Stability ◽  
Reactive Power ◽  
Stability Margin ◽  
Optimization Techniques ◽  
Planning Problem ◽  
Power Sources ◽  
Voltage Stability Margin ◽  
Reactive Power Planning

In the present work, reactive power planning problem along with voltage stability margin is addressed by effective co-ordination of reactive power sources. Modal analysis and L-index methods are used to detect weak nodes of the system accordingly. Differential Evolution (DE) and Genetic Algorithm (GA)-based optimization techniques are applied for the proper co-ordination of Var sources under base and increased loading conditions maintaining voltage stability of the connected power network. The problem is multi-objective and IEEE 30 bus system is taken as the standard system. It is observed that modal analysis based detection of weak nodes are more effective than the L-index-based detection. Moreover, the DE-based optimization algorithm gives better result compared to GA-based approach in maximizing reactive power reserves.

LZW differential evolution for binary encoding

2012 ◽  
Author(s):  
Orawan Watchanupaporn ◽  
Worasait Suwannik
Keyword(s):  
Differential Evolution ◽  
Binary Encoding

Modal Analysis of Turbulent Flow near an Inclined Bank–Longitudinal Structure Junction

2021 ◽  
Vol 147 (3) ◽  
pp. 04020100
Author(s):  
Nasser Heydari ◽  
Panayiotis Diplas ◽  
J. Nathan Kutz ◽  
Soheil Sadeghi Eshkevari
Keyword(s):  
Turbulent Flow ◽  
Modal Analysis ◽  
Longitudinal Structure
Sign in / Sign up

Export Citation Format

Share Document