Transactive Energy Sharing in A Microgrid via An Enhanced Distributed Adaptive Robust Optimization Approach

The rapid growth of microgrid with various dis-tributed energy resources (DERs) brings new opportunities for local energy sharing in the microgrid. However, the uncertainties of renewable distributed generation and loads pose a great tech-nical challenge for a microgrid operator (MGO). Thus, this paper proposes a transactive energy sharing (TES) approach for the MGO and DER aggregators to minimize the total social cost, considering network operating constraints. Accordingly, a two-settlement transactive energy (TE) market with an incentive en-ergy pricing scheme is developed to encourage the participation in the energy sharing. Besides, the real-time energy transactions of the aggregators are considered in a day-ahead optimization stage to address their negative impacts on microgrid operation. To solve the proposed TES problem, an alternating direction method of multipliers (ADMM) is applied. The uncertainties in each ADMM local problem are further addressed by an adaptive robust optimization (ARO) method solved by a column-and-constraint generation (C&CG) algorithm. The updated dual and coupling variables at each ADMM iteration could interact with the C&CG algorithm, impairing ADMM convergence. To solve this issue, an alternating uncertainty-update procedure is devel-oped. The simulation results verify the high efficiency and solu-tion robustness of the proposed TES method.