Exponential hybrid mutation differential evolution for economic dispatch of large-scale power systems considering valve-point effects

Lv, Derong; Xiong, Guojiang; Fu, Xiaofan; Al-Betar, Mohammed Azmi; Zhang, Jing; Bouchekara, Houssem R. E. H.; Chen, Hao

doi:10.1007/s10489-023-05180-5

Cited by 3 publications

References 52 publications

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Social small group optimization algorithm for large-scale economic dispatch problem with valve-point effects and multi-fuel sources

Secui,

Secui

2024

Appl Intell

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Economic dispatch is an important issue in the management of power systems and is the current focus of specialists. In this paper, a new metaheuristic optimization algorithm is proposed, named Social Small Group Optimization (SSGO), inspired by the psychosocial processes that occur between members of small groups to solve real-life problems. The starting point of the SSGO algorithm is a philosophical conception similar to that of the social group optimization (SGO) algorithm. The novelty lies in the introduction of the small group concept and the modeling of individuals’ evolution based on the social influence between two or more members of the small group. This conceptual framework has been mathematically mapped through a set of heuristics that are used to update the solutions, and the best solutions are retained by employing a greedy selection strategy. SSGO has been applied to solve the economic dispatch problem by considering some practical aspects, such as valve-point loading effects, sources with multiple fuel options, prohibited operating zones, and transmission line losses. The efficiency of the SSGO algorithm was tested on several mathematical functions (unimodal, multimodal, expanded, and composition functions) and on power systems of varying sizes (ranging from 10-units to 1280-units). The SSGO algorithm was compared with SGO and other algorithms belonging to various categories (such as: evolution-based, swarm-based, human behavior-based, hybrid algorithms, etc.), and the results indicated that SSGO outperforms other algorithms applied to solve the economic dispatch problem in terms of quality and stability of the solutions, as well as computation time.

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Social small group optimization algorithm for large-scale economic dispatch problem with valve-point effects and multi-fuel sources

Secui,

Secui

2024

Appl Intell

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A novel differential evolution algorithm based on periodic intervention and systematic regulation mechanisms

Yuan,

Sun,

Deng

et al. 2024

Appl Intell

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Multi-objective optimization scheduling based on renewable energy uncertainty scenarios for the reliability of power system operation

Lin,

Lu,

et al. 2024

2024 36th Chinese Control and Decision Conference (CCDC)

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Exponential hybrid mutation differential evolution for economic dispatch of large-scale power systems considering valve-point effects

Cited by 3 publications

References 52 publications

Social small group optimization algorithm for large-scale economic dispatch problem with valve-point effects and multi-fuel sources

Social small group optimization algorithm for large-scale economic dispatch problem with valve-point effects and multi-fuel sources

A novel differential evolution algorithm based on periodic intervention and systematic regulation mechanisms

Multi-objective optimization scheduling based on renewable energy uncertainty scenarios for the reliability of power system operation

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