Journal of System Simulation
Abstract
Abstract: The introduction of new energy generation units makes the power system structure more and more complex, and the existing economic dispatching methods face many challenges. A coordinated and optimal dispatching for wind-photovoltaic-storage systems is constructed and a constraint handling method is given, a competitive mechanism-based multi-strategy multi-objective differential evolutionary (CMMODE) algorithm is proposed. The CMMODE algorithm utilizes a competitive mechanism to partition the population and constructs multiple differential variance operators based on the partitioning results, thus generating a multi-strategy scheme, employs an elite self-exploration mechanism to make the population have the ability to jump out of the local optimum and the ability of exploitation. The results show the effectiveness of the CMMODE algorithm in solving the dynamic economic dispatch problem, and the constraint processing method has good feasibility.
Recommended Citation
Ren, Xuyang; Bu, Xuhui; Yin, Yanling; and Liu, Jinghua
(2025)
"Coordinated and Optimal Dispatching for Wind-photovoltaic-storage Systems Based on Multi-strategy Multi-objective Differential Evolution Algorithm,"
Journal of System Simulation: Vol. 37:
Iss.
2, Article 12.
DOI: 10.16182/j.issn1004731x.joss.23-1216
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol37/iss2/12
First Page
450
Last Page
461
CLC
TP391.9; TM734
Recommended Citation
Ren Xuyang, Bu Xuhui, Yin Yanling, et al. Coordinated and Optimal Dispatching for Windphotovoltaic- storage Systems Based on Multi-strategy Multi-objective Differential Evolution Algorithm[J]. Journal of System Simulation, 2025, 37(2): 450-461.
DOI
10.16182/j.issn1004731x.joss.23-1216
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons