مشخصات پژوهش

Passive distribution networks have evolved into active distribution networks (ADNs) with the presence of distributed energy resources. Microgrids (MGs), as subsystems in ADN, support the integration of renewable energy sources (RESs) and flexible loads. However, the uncertainties of RESs and privacy of different agents can pose challenges to the system’s optimal operation. This paper proposes a distributed energy management strategy for an ADN with a multi-microgrid (MMG), based on the transactive energy market. The goal is to minimize the operation cost of ADN and MGs while enhancing privacy and addressing uncertainties. To achieve this, first, a distributed optimization algorithm based on the alternating direction method of multipliers is applied for energy management. Then, adaptive robust optimization (ARO) has been utilized to consider the uncertainties in the local optimization problem of distribution system operators and each MG. The column-andconstraint generation (C&CG) algorithm and nested C&CG algorithm are adopted to solve the tri-level ARO problem for each agent, where day-ahead decisions, worst-case uncertainty realizations, and real-time corrective actions are considered. Finally, the proposed scheme was investigated through three cases, focusing on different incentive pricing schemes and operational limits, and results proved the effectiveness of the incentive energy pricing and internal energy market.