Shared energy storage configuration in distribution networks: A
Our research provides valuable insights into implementing shared energy storage on a large scale in distribution networks.
Considering that the arrangement of storage significantly influences the performance of distribution networks, there is an imperative need for research into the optimal configuration of DG and Energy Storage Systems (ESS) within direct current power delivery networks.
Furthermore, an optimized energy storage system (ESS) configuration model is proposed as a technical means to minimize the total operational cost of the distribution network while enhancing comprehensive resilience indices. The proposed nonlinear optimization model is solved using second-order cone relaxation techniques.
The main contrast between shared energy storage configuration and conventional distributed energy storage configuration is the number of decision-makers involved , . Typically, the distribution network operator (DNO) alone configures and manages the energy storage and distribution network, leading to a simpler benefit structure., .
The DNO energy storage provides only regulation services for the distribution network, while the EC energy storage provides backup capacity for a specific load category. This example shows the need for a multi-agent configuration.
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