Research on market trading strategy of multi-microgrid intelligent power distribution system based on Bi-level optimization

With the continuous promotion of “dual carbon” idea, future power generation will rely heavily on renewable energy sources. As an effective utilization form clean sources, it is positive significance to study trading strategy microgrids in intelligent distribution system under influence carbon quota. In this research, a bi-level optimization method used build model distribution-side market, with upper-level planning aiming reduce cost operators and lower-level increase revenue microgrids. Secondly, genetic algorithm sequential quadratic are applied upper bottom models determine optimal clearing for microgrid scheduling scheme operator, respectively. Finally, typical day as example analyze detail market multi-microgrid quota, effectiveness described paper verified.