Optimal power flow considering intermittent solar and wind generation using multi-operator differential evolution algorithm
File version
Author(s)
Hossain, MA
Elsayed, S
Chakrabortty, RK
Ryan, MJ
Abido, MA
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
License
Abstract
In this paper, a multi-operator differential evolution algorithm (MODE) is proposed to solve the Optimal Power Flow problem, called MODE-OPF. The MODE-OPF utilizes the strengths of more than one differential evolution operator in a single algorithmic framework. Additionally, an adaptive method is proposed to update the number of solutions evolved by each DE operator based on both the diversity of the population and the quality of solutions. This adaptive method has the ability to maintain diversity at the early stages of the optimization process and boost convergence at the later ones. The performance of the proposed MODE-OPF is tested by solving OPF problems for both small and large IEEE bus systems (i.e., IEEE-30 and IEEE-118) while considering intermittent solar and wind power generation. To prove the suitability of this proposed algorithm, its performance has been compared against several state-of-the-art optimization algorithms, where MODE-OPF outperforms other algorithms in all experimental results thereby improving a network's performance with lower cost. MODE-OPF decreases the total generation cost up to 24.08%, the real power loss up to 6.80% and the total generation cost with emission up to 8.56%.
Journal Title
Electric Power Systems Research
Conference Title
Book Title
Edition
Volume
232
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject
Data structures and algorithms
Electrical energy generation (incl. renewables, excl. photovoltaics)
Electrical engineering
Persistent link to this record
Citation
Sallam, KM; Hossain, MA; Elsayed, S; Chakrabortty, RK; Ryan, MJ; Abido, MA, Optimal power flow considering intermittent solar and wind generation using multi-operator differential evolution algorithm, Electric Power Systems Research, 2024, 232, pp. 110377