Optimal placement of hybrid solar-wind-wave systems for maximum energy harvesting via chaotic artificial rabbits algorithm

Yang, Bo, Duan, Jinhang, Cao, Pulin and Jiang, Lin ORCID: 0000-0001-6531-2791 (2024) Optimal placement of hybrid solar-wind-wave systems for maximum energy harvesting via chaotic artificial rabbits algorithm Energy Conversion and Management, 322. p. 119143. ISSN 0196-8904, 1879-2227

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Abstract

In recent years, offshore power generation technologies have garnered significant interest, particularly with the notable advancements in wave energy, floating photovoltaics (FPVs), and floating wind turbines (FWTs). The generation of energy from wind and solar sources is intricately influenced by a spectrum of environmental parameters, notably the oscillations in solar irradiance and wind velocity, which engender a degree of intermittency in power output. In a parallel vein, the generation of energy from oceanic waves is also subject to variability, attributable to the dynamic alterations in wave intensity, directional orientation, and amplitude. As a corollary, each of these three renewable energy paradigms exhibits a certain degree of unpredictability in their energy yield. Moreover, the financial outlay associated with the offshore installation of these systems is disproportionately elevated, presenting a significant economic challenge for their deployment. In light of these challenges, a hybrid solar-wind-wave system (HSWWS) has been established, which combines a three-tether wave energy converter (WEC), an FPV system (model JKM370M-66HB), and an FWT system (model Vestas V27-225 kW). This integrated hybrid energy system amalgamates the complementary strengths of renewable energy sources, facilitating the capability for both grid-tied and standalone power generation. It enhances the efficacy and dependability of electricity provision, particularly in regions that are not within the purview of the conventional power grid. Additionally, by leveraging shared mooring infrastructure and transmission apparatus, the system effectuates a reduction in the overall capital expenditure associated with its construction and deployment. Then, to harness synergies between WEC systems, improve offshore spatial utilization, decrease costs, and maintain consistent power output, a strategic placement of the hybrid systems is delved into. To solve the placement problem efficiently, a chaotic artificial rabbits optimization (CARO) algorithm is proposed, which employs chaotic strategies for initialization, enhances energy factors, and refines the transition from the exploration stage to the exploitation stage standards, thereby improving optimization capabilities. Case studies are conducted on arrays consisting of 5, 8, and 11 HSWWSs using the simuNPS software, which indicate that compared to the other five contrastive algorithms, the CARO algorithm can achieve maximum total power output and better convergence.

Item Type:	Article
Uncontrolled Keywords:	Wave energy converter, Floating photovoltaic, Floating wind turbine, Hybrid solar-wind-wave system, Chaotic artificial rabbits optimization, Maximum energy harvesting, simuNPS software
Divisions:	Faculty of Science & Engineering Faculty of Science & Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	26 Nov 2024 11:44
Last Modified:	28 Feb 2026 13:22
DOI:	10.1016/j.enconman.2024.119143
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3188890
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