Multiobjective Backtracking Search Algorithm for solving Optimal Power Flow

被引：0
|
作者：
Daqaq, F. [1 ]
Ellaia, R. [1 ]
Ouassaid, M. [2 ]
机构：
[1] Mohammed V Univ Rabat, Mohammadia Sch Engn, Lab Study & Res Appl Math, Rabat, Morocco
[2] Mohammed V Univ Rabat, Mohammadia Sch Engn, Dept Elect Engn, Rabat, Morocco
来源：
PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES (ICEIT 2017) | 2017年
关键词：
Optimal Power Flow; Backtracking Search Algorithm (BSA); Multi Objective Optimization; Fuel cost minimization; Voltage profile improvement; Voltage stability enhancement;
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：
Optimal Power Flow (OPF) using the Multi objective functions is becoming one of the most important issues in power system. This paper presents a new method to solve the highly constrained multi-objective optimization. In the proposed approach, Multi Objective Backtracking Search Algorithm (MOBSA) is used as the main optimizer for optimal adjustments of the power system control variables of the OPF problem. Considering several objectives such as fuel cost minimization, voltage improvement, and voltage stability enhancement. The proposed technique has been examined and tested for standard IEEE 30 bus system. The MOBSA method is demonstrated and compared with several intelligence heuristic algorithms.
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页数：6
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