A hybrid artificial bee colony assisted differential evolution algorithm for optimal reactive power flow

2013 ◽  
Vol 52 ◽  
pp. 25-33 ◽  
Author(s):  
Yuancheng Li ◽  
Yiliang Wang ◽  
Bin Li
Keyword(s):  
Differential Evolution ◽  
Power Flow ◽  
Artificial Bee Colony ◽  
Reactive Power ◽  
Differential Evolution Algorithm ◽  
Bee Colony ◽  
Reactive Power Flow ◽  
Evolution Algorithm ◽  
Optimal Reactive Power Flow

Artificial bee colony algorithm solution for optimal reactive power flow

2012 ◽  
Vol 12 (5) ◽  
pp. 1477-1482 ◽  
Author(s):  
Kürşat Ayan ◽  
Ulaş Kılıç
Keyword(s):  
Power Flow ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Reactive Power ◽  
Bee Colony ◽  
Reactive Power Flow ◽  
Optimal Reactive Power Flow

The Economic Dispatch of Wind Integrated Power System based on an Improved Differential Evolution Algorithm

2020 ◽  
Vol 13 (3) ◽  
pp. 384-395
Author(s):  
Haiqing Liu ◽  
Jinmeng Qu ◽  
Yuancheng Li
Keyword(s):  
Differential Evolution ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Economic Dispatch ◽  
Differential Evolution Algorithm ◽  
Bee Colony ◽  
Evolution Algorithm ◽  
Improved Differential Evolution Algorithm ◽  
Dynamic Economic Dispatch ◽  
Integrated Power System

Background: As more and more renewable energy such as wind energy is connected to the power grid, the static economic dispatch in the past cannot meet its needs, so the dynamic economic dispatch of the power grid is imperative. Methods: Hence, in this paper, we proposed an Improved Differential Evolution algorithm (IDE) based on Differential Evolution algorithm (DE) and Artificial Bee Colony algorithm (ABC). Firstly, establish the dynamic economic dispatch model of wind integrated power system, in which we consider the power balance constraints as well as the generation limits of thermal units and wind farm. The minimum power generation costs are taken as the objectives of the model and the wind speed is considered to obey the Weibull distribution. After sampling from the probability distribution, the wind speed sample is converted into wind power. Secondly, we proposed the IDE algorithm which adds the local search and global search thoughts of ABC algorithm. The algorithm provides more local search opportunities for individuals with better evolution performance according to the thought of artificial bee colony algorithm to reduce the population size and improve the search performance. Results: Finally, simulations are performed by the IEEE-30 bus example containing 6 generations. By comparing the IDE with the other optimization model like ABC, DE, Particle Swarm Optimization (PSO), the experimental results show that obtained optimal objective function value and power loss are smaller than the other algorithms while the time-consuming difference is minor. The validity of the proposed method and model is also demonstrated. Conclusion: The validity of the proposed method and the proposed dispatch model is also demonstrated. The paper also provides a reference for economic dispatch integrated with wind power at the same time.

Fault Tolerant Differential Evolution Based Optimal Reactive Power Flow

2006 ◽  
Author(s):  
Sheng Su ◽  
C.y. Chung ◽  
K.p. Wong ◽  
Y.f. Fung ◽  
D.s. Yeung
Keyword(s):  
Differential Evolution ◽  
Power Flow ◽  
Reactive Power ◽  
Fault Tolerant ◽  
Reactive Power Flow ◽  
Optimal Reactive Power Flow

Study of differential evolution for optimal reactive power flow

2007 ◽  
Vol 1 (2) ◽  
pp. 253 ◽  
Author(s):  
C.H. Liang ◽  
C.Y. Chung ◽  
K.P. Wong ◽  
X.Z. Duan ◽  
C.T. Tse
Keyword(s):  
Differential Evolution ◽  
Power Flow ◽  
Reactive Power ◽  
Reactive Power Flow ◽  
Optimal Reactive Power Flow
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