Optimal dispatch of integrated energy systems considering malfunction states

The integrated energy systems have become one of the most important directions for energy development with the advantage of increasing the penetration rate of renewable energy. Through energy storage and multi-energy flow coupling, the integrated energy system realizes the role of reducing the impact of renewable energy uncertainty on system stability, safety control and other aspects. In order to further improve the operational reliability of the integrated energy system on the basis of economic operation, this paper proposes an optimal scheduling method of the integrated energy system considering malfunction state, which takes economic objectives and safety indicators into account. The safety index proposed in this paper is the system supply deficit under fault condition. By considering the two objectives comprehensively, system safety and economic dispatch are realized. And the multi-objective grey wolf optimization algorithm is applied to solve the multi-objective optimization problem. The operation and scheduling results demonstrate that the optimized scheduling model proposed in this paper can provide a scheduling solution that balances economy and safety for the system.