Work

Co-optimized Scheduling of Multi-microgrids and Active Distribution Network Considering Leasing Shared Energy Storage

Year: 2026

Type: article

Abstract: The inherent conflict between privacy preservation requirements and efficient cross-domain utilization of distributed energy storage resources fundamentally challenges the engagement of microgrids (MGs) as independent economic entities in co-optimized power system scheduling. To address this challenge, a co-optimized scheduling framework considering Shared Energy Storage (SES) leasing for Active Distribution Network (ADN) and multi-microgrids is proposed. Firstly, a SES operation framework is proposed that enables the leasing of microgrid redundant energy storage. Based on the framework, a SES operation strategy incorporating risk management is developed to address bilateral uncertainties; Secondly, a collaborative dispatch strategy predicated on Nash bargaining game theory is formulated for ADN, multiple microgrids, and SESO. A bargaining factor is incorporated to facilitate the equitable allocation of cooperative surplus. Thirdly, to preserve the data privacy of all stakeholders, the overall optimization problem is decomposed and solved using a distributed algorithm based on the Alternating Direction Method of Multipliers (ADMM). Finally, case studies demonstrate that the proposed leasing strategy can protect participant privacy while improving the economics of all entities.

Source: IEEE Transactions on Industry Applications

DOI: 10.1109/tia.2026.3714416