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Coordinated Multi-Scenario Optimization Strategy for Park Photovoltaic Storage Based on Master-Slave Game.

Jiang Wang1,2, Jinchen Lan3, Lianhui Wang4

  • 1Hubei Key Laboratory of Power Equipment & System Security for Integrated Energy, Wuhan 430072, China.

Sensors (Basel, Switzerland)
|August 10, 2024
PubMed
Summary

This study optimizes photovoltaic (PV) storage systems using a master-slave game model. The strategy enhances park operator profits by 25.8% and reduces user costs by 5.27%, minimizing energy curtailment.

Keywords:
dual-level optimizationeconomic analysismaster–slave gamemulti-application scenariosphotovoltaic storage park

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Area of Science:

  • Renewable Energy Systems
  • Energy Economics
  • Optimization Theory

Background:

  • Photovoltaic (PV) systems face challenges in meeting load demands due to intermittency and fluctuations.
  • Efficient operation of PV storage systems is vital for economic viability and reducing energy curtailment.
  • Integrating energy storage systems (ESS) is key to stabilizing PV output and enhancing grid services.

Purpose of the Study:

  • To develop a multi-scenario collaborative optimization strategy for PV storage systems.
  • To maximize park operator profits while minimizing user electricity costs.
  • To improve the economic efficiency and reliability of PV storage parks.

Main Methods:

  • Implementation of a master-slave game model for collaborative optimization.
  • Design of three distinct ESS application scenarios: PV stabilization, load transfer compensation, and frequency regulation (FR) market participation.
  • Integration of a load response mechanism to reduce curtailment.

Main Results:

  • Achieved a 25.8% increase in economic benefits for park operators.
  • Reduced user electricity expenditures by 5.27%.
  • Significantly lowered PV energy curtailment through the proposed strategy.

Conclusions:

  • The proposed multi-scenario collaborative optimization strategy effectively enhances the economic performance of PV storage systems.
  • The master-slave game model provides a robust framework for balancing operator profits and user costs.
  • This approach promotes the sustainable development and widespread adoption of PV storage parks.