skip to main content
10.1145/3603781.3603784acmotherconferencesArticle/Chapter ViewAbstractPublication PagescniotConference Proceedingsconference-collections
research-article

Research on Three-stage Hybrid Algorithm in Improving Photoelectric Conversion Efficiency

Authors Info & Claims
Published:27 July 2023Publication History

ABSTRACT

Solar power generation through photovoltaics represents an important source of solar power generation. The level of photoelectric conversion efficiency is crucial to assessing the performance of photovoltaic modules. A hot topic of research in the photovoltaic field has become how to improve its photoelectric conversion efficiency. It is possible to improve the photoelectric conversion efficiency in many ways, Tracking the maximum power point of the photovoltaic system is one method. This paper proposes a three-stage hybrid algorithm based on the constant voltage method, the conductance increment method and the particle swarm algorithm on the basis of the existing maximum power tracking algorithm, which can improve the accuracy and tracking speed of the maximum power point tracking, Achieve more efficient use of solar energy.

References

  1. Sun Mingchun. The risk of climate change cannot be ignored [N]. China Business News, 2021-09-22(A11).Google ScholarGoogle Scholar
  2. Wang Wen. Carbon neutrality, the beginning of a new global game [J]. Management of State-owned Enterprises, 2021(18):20-21.Google ScholarGoogle Scholar
  3. Wang Jinpeng, Ye Zhengpeng, Jeremy Gillbanks, Tarun M. Sanders and Zou Nianyu, A Power Control Algorithm Based on Chicken Game Theory in Multi-Hop Networks, Symmetry 2019, 11(5),718.Google ScholarGoogle Scholar
  4. Liu B , Duan S , Fei L , Analysis and Improvement of Maximum Power Point Tracking Algorithm Based on Incremental Conductance Method for Photovoltaic Array[C]// International Conference on Power Electronics & Drive Systems. IEEE, 2007.Google ScholarGoogle Scholar
  5. Aganah K A , Leedy A W . A constant voltage maximum power point tracking method for solar powered systems[C]// System Theory. IEEE, 2011.Google ScholarGoogle Scholar
  6. Wang Jinpeng, Cao Fan, Zou Nianyu. Multi carrier system joint receiving method based on MAI and ICI. [J], Jilin DaxueXuebao (Gongxueban), 2018, 41(6): 301-305.Google ScholarGoogle Scholar
  7. Wang Jinpeng, Ye Zhengpeng, Jeremy Gillbanks, Tarun M. Sanders and Zou Nianyu, A novel Linear Antenna Synthesis for Linear Dispersion Codes Based on an innovative HYBRID Genetic algorithm, Symmetry 2019, 11(9),1176.Google ScholarGoogle Scholar
  8. Jinpeng WANG, Nianyu ZOU, Yuncui ZHANG and Ping LI, “Study on Downlink Performance of Multiple Access Algorithm based on Antenna Diversity” ICIC Express Letters, vol.9, no.4, pp,1221-1225,2015.Google ScholarGoogle Scholar
  9. Wang Yanqing. Photovoltaic MPPT algorithm research and controller design under partial shade[D]. Xi'an University of Science and Technology, 2020. DOI: 10.27397/d.cnki.gxaku.2020.000562.Google ScholarGoogle ScholarCross RefCross Ref
  10. Jinpeng WANG, yang ZHOU, Xin GUAN, Jeremy-Gillbanks and Xin ZHAO, “A Hybrid Predicting Model for the Daily Photovoltaic Output Based on Fuzzy Clustering of Meteorological Data and Joint Algorithm of GAPS and RBF Neural Network” IEEE ACCESS, 2022,vol.10, pp, 30005-30017.Google ScholarGoogle ScholarCross RefCross Ref
  11. Eka Prasetyono,Luthfansyah Mohammad,Farid Dwi Murdianto. Performance of ACO-MPPT and Constant Voltage Method for Street Lighting Charging System[J]. International Review of Electrical Engineering (IREE),2020,15(3).Google ScholarGoogle Scholar

Index Terms

  1. Research on Three-stage Hybrid Algorithm in Improving Photoelectric Conversion Efficiency
            Index terms have been assigned to the content through auto-classification.

            Recommendations

            Comments

            Login options

            Check if you have access through your login credentials or your institution to get full access on this article.

            Sign in
            • Published in

              cover image ACM Other conferences
              CNIOT '23: Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things
              May 2023
              1025 pages
              ISBN:9798400700705
              DOI:10.1145/3603781

              Copyright © 2023 ACM

              Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

              Publisher

              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 27 July 2023

              Permissions

              Request permissions about this article.

              Request Permissions

              Check for updates

              Qualifiers

              • research-article
              • Research
              • Refereed limited

              Acceptance Rates

              Overall Acceptance Rate39of82submissions,48%
            • Article Metrics

              • Downloads (Last 12 months)23
              • Downloads (Last 6 weeks)5

              Other Metrics

            PDF Format

            View or Download as a PDF file.

            PDF

            eReader

            View online with eReader.

            eReader

            HTML Format

            View this article in HTML Format .

            View HTML Format