A Compact Pigeon-Inspired Optimization for Maximum Short-Term Generation Mode in Cascade Hydroelectric Power Station

Ai-Qing Tian, Shu-Chuan Chu, Jeng-Shyang Pan, Huanqing Cui and Wei-Min Zheng
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Ai-Qing Tian: College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Shu-Chuan Chu: College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Jeng-Shyang Pan: College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Huanqing Cui: College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Wei-Min Zheng: College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China

Sustainability, 2020, vol. 12, issue 3, 1-19

Abstract: Pigeon-inspired optimization (PIO) is a new type of intelligent algorithm. It is proposed that the algorithm simulates the movement of pigeons going home. In this paper, a new pigeon herding algorithm called compact pigeon-inspired optimization (CPIO) is proposed. The challenging task for multiple algorithms is not only combining operations, but also constraining existing devices. The proposed algorithm aims to solve complex scientific and industrial problems with many data packets, including the use of classical optimization problems and the ability to find optimal solutions in many solution spaces with limited hardware resources. A real-valued prototype vector performs probability and statistical calculations, and then generates optimal candidate solutions for CPIO optimization algorithms. The CPIO algorithm was used to evaluate a variety of continuous multi-model functions and the largest model of hydropower short-term generation. The experimental results show that the proposed algorithm is a more effective way to produce competitive results in the case of limited memory devices.

Keywords: compact pigeon-inspired optimization; maximum short-term generation; swarm intelligence; hydroelectric power station (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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