The increasing popularity of distributed energy and the accompanying more complex energy system structures have greatly increased the difficulty and cost of traditional centralized energy collaborative optimization problems. Distributed optimization methods have good adaptability to complex energy structures, but they suffer from problems such as a lack of natural and trustworthy coordination centers, difficulty in protecting subject privacy, and in distinguishing the authenticity of inter subject interaction data. This paper proposes a trustworthy coordination optimization method for an integrated energy system in a park. It combines with blockchain technology. A coordinator role is introduced to form a coordination committee, and an unbiased random sorting algorithm is used to select coordinators. The coordination optimization problem is decoupled into a two-layer optimal value problem by a decomposition coordination algorithm, and a blockchain consensus algorithm is used to ensure the trustworthiness of multiple coordinators. A data storage model is designed for a comprehensive energy system in a dual blockchain park to ensure data security and transaction chain efficiency. Simulation experiments have shown that the trustworthy coordination optimization method for the comprehensive energy system in the park, combined with blockchain, can fairly select coordinators, effectively achieve comprehensive energy coordination optimization in the park, reduce the impact of node wrongdoing, protect data privacy, and have good robustness and fault tolerance.