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<p>Renewable energy sources and demand response initiatives offer potential cost savings for consumers. However, their financial benefits can be limited by the volatility of electricity prices and the intermittent nature of renewables. This paper proposes a comparative analysis between the use of individual and shared energy storage systems in microgrid-connected residential communities based on peer-to-peer interactive energy concepts with an emphasis on electricity cost-saving aspects. This study presents a centralized approach to peer-to-peer trading in interactive energy markets. In addition, an information gap theory (IGDT)-based framework is proposed for peer-to-peer interactive energy trading of residential communities in an environment of uncertainty. The proposed uncertainty framework provides a risk-averse solution to the peer-to-peer (P2P) energy trading problem where energy players are robust against the adverse behavior of renewable energy sources uncertainty. The proposed approach is linear programming mixed with integers, which is implemented in the GAMS programming environment and solved under the powerful CPLEX solver. The obtained results show that the use of shared energy storage is an effective and feasible solution to reduce electricity costs and increase environmental sustainability in residential communities.</p>

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Evaluating the implementation of distributed energy storage in peer-to-peer markets while taking into account the presence of uncertainty

  • 期刊论文

  • 发表日期：

    2025年2月24日

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  • Mahdi Shadi,
  • Mohammad Sadegh Ghazizadeh

摘要

Renewable energy sources and demand response initiatives offer potential cost savings for consumers. However, their financial benefits can be limited by the volatility of electricity prices and the intermittent nature of renewables. This paper proposes a comparative analysis between the use of individual and shared energy storage systems in microgrid-connected residential communities based on peer-to-peer interactive energy concepts with an emphasis on electricity cost-saving aspects. This study presents a centralized approach to peer-to-peer trading in interactive energy markets. In addition, an information gap theory (IGDT)-based framework is proposed for peer-to-peer interactive energy trading of residential communities in an environment of uncertainty. The proposed uncertainty framework provides a risk-averse solution to the peer-to-peer (P2P) energy trading problem where energy players are robust against the adverse behavior of renewable energy sources uncertainty. The proposed approach is linear programming mixed with integers, which is implemented in the GAMS programming environment and solved under the powerful CPLEX solver. The obtained results show that the use of shared energy storage is an effective and feasible solution to reduce electricity costs and increase environmental sustainability in residential communities.