In order to solve the optimization dispatch problem of integrated energy systems under the uncertain renewable energy penetrating, this paper proposes a robust optimization dispatch model of integrated electrical-heating system with temporal decomposition considering dynamic reserve domain. The proposed model solves the problem that traditional two-stage robust dispatch ignores the non-anticipate characteristic of dispatch decision, and also behaves more effectively than existing solution methods. In day-ahead stage, the box variable interval was equivalently transformed into dynamic reserve interval, while all are unified as dynamic reserve domain. In intra-day stage, the real-time dispatch is decoupled into multi-stage problem to increase the flexibility of long-time coupled devices such as energy storage systems. A multi-layer Benders cut algorithm is proposed to solve the model. Case study on the 6-bus 5-node integrated electrical-heating system demonstrates the effectiveness of the proposed model and method.

Robust optimization, dynamic reserve interval, multi-stage problem, energy storage system, multi-layer Benders cut