Multi-objective Evolutionary Algorithm for Security Enhancement

被引：0

作者：

Banu, R. Narmatha ^{[1
]}

Devaraj, D. ^{[1
]}

机构：

[1] Kalasalingam Univ, EEE Dept, Anand Nagar, Krishnankoil 626190, Gujarat, India

来源：

JOURNAL OF ELECTRICAL SYSTEMS | 2009年 / 5卷 / 04期

关键词：

Power system security; Flexible AC transmission system (FACTS) devices; Thyristor Controlled Series Capacitors (TCSCs); Genetic Algorithm; Non -dominated sorting genetic algorithm; Pareto optimal frontier;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper reports an application of Multi-objective Evolutionary algorithm for solving the security enhancement problem. Generation rescheduling and adjustment of TCSC are used to alleviate the line overload. The probable locations of TCSC are pre-selected based on Line overload Sensitivity (LOS) index which ranks the system branches according to their severity. The security enhancement problem is formulated as a multi-objective optimization problem with minimization of investment cost of Thyristor Controlled Series Capacitor (TCSC) and minimization of control variable adjustment cost as objectives. Non-dominated sorting algorithm is applied to solve this multi-objective optimization problem. The proposed approach has been evaluated on the IEEE 30-bus test system. Simulation results show the effectiveness of the proposed approach for solving the multi-objective optimal power flow problem

引用

页数：16

共 50 条

[31] A general convergence analysis method for evolutionary multi-objective optimization algorithm
Cai, Tie
Wang, Hui
INFORMATION SCIENCES, 2024, 663
[32] Cluster Oriented Ensemble Classifiers using Multi-Objective Evolutionary Algorithm
Rahman, Ashfaqur
Verma, Brijesh
2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2013,
[33] A Two-phase evolutionary algorithm framework for multi-objective optimization
Jiang, Siyu
Chen, Zefeng
APPLIED INTELLIGENCE, 2021, 51 (06) : 3952 - 3974
[34] A Constrained Multi-Objective Evolutionary Algorithm Based on Boundary Search and Archive
Liu, Hai-Lin
Peng, Chaoda
Gu, Fangqing
Wen, Jiechang
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2016, 30 (01)
[35] Multi-Objective Evolutionary Algorithm for Economic Load Distribution of Power System
Fang, Yanjun
Yao, Jing
2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2012,
[36] Secondary population implementation in multi-objective evolutionary algorithm for scheduling of FMS
P. Paul Pandian
S. Saravana Sankar
S. G. Ponnambalam
S. Bathrinath
The International Journal of Advanced Manufacturing Technology, 2011, 57 : 1143 - 1154
[37] Multi-Objective Evolutionary Algorithm Based on Decomposition With Orthogonal Experimental Design
He, Maowei
Wang, Zhixue
Chen, Hanning
Cao, Yang
Ma, Lianbo
EXPERT SYSTEMS, 2025, 42 (02)
[38] Achieving balance between proximity and diversity in multi-objective evolutionary algorithm
Li, Ke
Kwong, Sam
Cao, Jingjing
Li, Miqing
Zheng, Jinhua
Shen, Ruimin
INFORMATION SCIENCES, 2012, 182 (01) : 220 - 242
[39] Improving a multi-objective evolutionary algorithm to discover quantitative association rules
Martinez-Ballesteros, M.
Troncoso, A.
Martinez-Alvarez, F.
Riquelme, J. C.
KNOWLEDGE AND INFORMATION SYSTEMS, 2016, 49 (02) : 481 - 509
[40] An evolutionary constrained multi-objective optimization algorithm with parallel evaluation strategy
Shimoyama, Koji
Kato, Taiga
JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, 2017, 11 (05):

← 1 2 3 4 5 →