Aiming at the optimization of bidding for the electric energy market and reserve service market in the electricity market environment

this article considered the demands of various levels of market entities and proposed a two-stage optimization scheduling strategy for multi-microgrid participation in the electric energy-reserve service market that took into account demand response. Firstly

the upper level aimed to minimize market cost and established a cascaded market bidding optimization model. The model was decoupled and solved in parallel based on the ATC method. Secondly

based on the optimization results of the upper bidding

a master-slave game model was constructed in the lower stage

with the market operator as the leader and multiple microgrids as followers

to optimize the self-scheduling between microgrids and users in the market. In the second stage

with the optimization results of the first stage as boundary conditions

a multi-microgrid cooperative participation in the reserve market model was established to optimize the interactive electricity price. Finally

the proposed model strategy could further explore the potential of multi-microgrids and flexible user participation in market scheduling

and improve the overall market efficiency

as demonstrated through numerical examples.