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March 14, 2026Electric Power Systems ResearchOpen Access

Data-aided collaborative planning of energy storage for remote renewable base

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Authors

WKWeile KongHYHongxing YeYGYinyin Ge

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Overview

This framework optimizes energy storage planning, ensuring cost reduction and robustness in inter-regional systems.

Key Points

  • The aim is to develop a planning framework that optimizes energy storage and thermal unit flexibility for inter-regional renewable energy systems.
  • Developed a data-aided optimization framework for planning energy storage and flexibility.
  • Utilized bidirectional flexibility from both energy storage and thermal units to minimize costs.
  • Applied a temporally correlated interval prediction method to reduce uncertainty in operational planning.
  • Incorporated a piecewise least-squares technique for handling nonlinear operating conditions.
  • Demonstrated that bidirectional flexibility reduces both investment and operational costs.
  • Achieved robust performance under less conservative flexibility constraints leading to additional savings.
  • The optimization approach was effective in solving complex planning challenges while maintaining optimality.

Cite This Study

Kong et al. (2026) studied this question.

synapsesocial.com/papers/69b4fa9ab39f7826a300b593https://doi.org/10.1016/j.epsr.2026.112935
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