Optimization of Distribution Network and Mobile Network With Interactive Balance of Flexibility and Power

High proportions of renewable energy place higher requirements on the flexibility of the distribution network. Meanwhile, the communication network is striving to seek ways to save energy. In this regard, this paper proposes a novel collaborative optimization method with interactive balance of flexibility and power for distribution network operator (DNO) and mobile network operator (MNO). First, the flexibility balance mechanism is analyzed and the optimization model integrating flexibility balance and power balance is established for the distribution network. Secondly, a flexibility aggregation method of large-scale base stations with energy storage (ES) devices is proposed, and a virtual ES-based optimization model is built for the mobile network. Then, a Nash bargaining-based optimization method is proposed for the collaboration of DNO and MNO, and a decentralized solution algorithm is designed to obtain the Nash bargaining solution, preserving the personal privacy. Finally, through a comprehensive case study we can draw that, compared with the independent approach, the proposed collaborative optimization method with interactive balance of flexibility and power can improve the operating flexibility of the distribution network while reducing the electricity bills of the mobile network effectively, thus achieving a win-win result.