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March 13, 2026International Journal of Global Energy Issues0 citationsOpen Access

Optimal scheduling energy for wind-solar-load storage AC-DC hybrid distribution network system based on multi-agent algorithm

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BWBo WeiCYChunxiang YangKLKequan Liu

Key Points

  • The research aims to enhance energy scheduling for hybrid distribution systems integrating wind and solar energy with storage solutions.
  • Utilized a multi-agent algorithm to optimize energy distribution.
  • Assessed the performance of the wind-solar-load storage system.
  • Simulated various scenarios to evaluate scheduling efficiency.
  • Achieved increased efficiency in energy usage.
  • Reduced operational costs for energy distribution.
  • Enhanced reliability of the hybrid system under varying loads.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Wei et al. (2026) studied this question.

synapsesocial.com/papers/69b3ad6c02a1e69014ccf6a1https://doi.org/10.1504/ijgei.2026.10076908
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Optimal scheduling of wind-solar hybrid energy storage microgrids using a multi-objective improved genetic algorithm2026 · 2 citations
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  3. 3Load sharing with enhanced power quality operation in distributed microgrid2026
  4. 4Copula-Based Wind-solar joint output simulation forcarbon capture economic dispatch optimisation inpower systems2026
  5. 5Research on resource aggregation scheduling and optimal control strategies for virtual power plants based on spatio-temporal data mining analysis2026