Fuzzy Optimal Power Flow with Multi-Objective Based on Artificial Bee Colony Algorithm in Power System

2013 ◽  
Vol 448-453 ◽  
pp. 2473-2477 ◽  
Author(s):  
Xuan Hu He ◽  
Wei Wang ◽  
Ying Nan Wang ◽  
Jun Kong ◽  
Jing Geng ◽  
...  
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Artificial Bee Colony ◽  
Atmospheric Pollutants ◽  
The Novel ◽  
Multi Objective ◽  
Fuzzy Membership Functions ◽  
Bee Colony ◽  
Optimal Power ◽  
Active Power Losses

According to the problem of optimal power flow (OPF), the optimization objectives including minimization of total fuel cost for generating units, minimization of emission for atmospheric pollutants, minimization of active power losses and minimization of voltages deviations are established. The paper uses fuzzy membership functions instead of multi-objective functions to form fuzzy optimal power flow in the optimal power flow calculation process. The novel artificial bee colony (ABC) algorithm is proposed to solve OPF problem with multi-objective. The proposed approach is applied to the OPF problem on IEEE30 test systems. And the simulation results verify the effectiveness of the proposed method.

scholarly journals Fuzzy Multiobjective Optimal Power Flow Based on Modified Artificial Bee Colony Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Xuanhu He ◽  
Wei Wang
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Artificial Bee Colony ◽  
Heuristic Algorithms ◽  
Test System ◽  
Atmospheric Pollutants ◽  
Bee Colony ◽  
De Algorithm ◽  
Optimal Power ◽  
Active Power Losses

This paper presents a modified artificial bee colony (MABC) algorithm to solve optimal power flow (OPF) problem. In the proposed MABC algorithm, the searching operation for new food source of artificial bee colony (ABC) algorithm is replaced with mutation and crossover operation of differential evolution (DE) algorithm to improve exploitation capacity. The OPF objective functions involve minimization of total fuel cost of generating units, minimization of emission of atmospheric pollutants, minimization of active power losses, and minimization of voltage deviations. The fuzzy satisfaction-maximizing method is utilized to convert the multiobjectives problem into single objective problem. The proposed approach is applied to the OPF problem on IEEE 30-bus test system. And the results are compared with those obtained by other heuristic algorithms, which demonstrate that the MABC algorithm not only has a better exploration capacity but also possesses stronger exploitation capacity and can effectively solve the OPF problem.

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