Mixed game-theoretic optimization scheduling for ADN with energy resources storage in 5G system

This paper introduces a mixed game-based optimal dispatching approach for active distribution networks (ADNs) that incorporate extensive photovoltaic (PV) systems within 5G system, utilizing a collective energy resources storage (CES) system. Firstly, an optimal model of a master-slave game is developed, positioning the ADNs as the master entity alongside the coalition of 5G system. Secondly, taking into account the cost allocation among members of the 5G systems, a cooperative game management framework is developed between multiple telecom operators and shared energy resources storage providers, which is addressed using the alternating directional multiplier method (ADMM). Finally, the simulation outcomes demonstrate the efficiency of the suggested approach.