Distributed optimization for energy transactions and production of multiple microgrids under uncertainty

Abstract

Considering energy sharing between independent market operators (IMOs) and multiple microgrids (MMGs), the energy trading and production problem for MMGs under uncertainty is addressed in this paper. A bilevel energy dispatch framework is established to coordinate energy sharing and production of MMGs. The energy trading of IMOs is formulated as a mixed integer quadratic programming (MIQP) in the outer level. The energy production of an individual MG is formulated as a robust optimization model in the inner level. Moreover, a hybrid algorithm including an analytical target cascading (ATC) algorithm, a column and constraint generation (C&CG) algorithm and diagonal quadratic approximation (DQA) method is developed to solve the proposed model. Finally, numerical results show the performance of energy trading strategy and the solution quality of the proposed approach.