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May 24, 2026EnergiesOpen Access

Bi-Level Optimization and Economic Analysis of PV-Storage Systems in Industrial Parks

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Authors

SCShilong ChuHenan University of Science and TechnologyDKDeyang KongHenan University of Science and TechnologySLShuai LuHenan University of Science and Technology

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Overview

Randomized trial assessing economic viability of PV-storage in industrial parks, suggesting significant cost reductions.

Key Points

  • The study aims to optimize the configuration and operation of PV-storage systems to enhance economic benefits and reduce costs.
  • Developed a bi-level optimization model to maximize annual economic benefit and minimize daily electricity costs.
  • Formulated lower level as a mixed-integer programming problem addressing charging/discharging schedules.
  • Utilized the chaotic sparrow search algorithm combined with CPLEX solver for optimization.
  • Joint PV-storage configuration reduced total electricity costs by 17.3% compared to no storage and by 4.5% compared to PV only.
  • Underestimated PV output led to an increase in costs by RMB 1927.84 for electricity procurement compared to ideal scenarios.
  • Proposed scheduling strategy reduced additional costs from forecast errors by 20.14%.

Cite This Study

Chu et al. (2026) studied this question.

synapsesocial.com/papers/6a12965848a0ea16656730bchttps://doi.org/10.3390/en19112504
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