The fundamental factor in ensuring the development of digital energy at the present stage is the quality of life of the population, where human-oriented technologies are fundamental in the information society. Integrated Power Management Systems (IEMS) are one of the most effective areas of digital technologies and processes in the energy sector. The most important task of IEMS is timely identification, reduction and elimination of hazards and risks in the system of energy generating enterprises. In the conditions of digital energy as an integral part of the digital economy, data on the state of managed subsystems become necessary for the IEMS resources management, where the role of human-oriented technologies is significantly increasing. These directions essentially determine the main content of the concept of intelligent energy systems, which are based on information and control technologies using a distributed data processing system. The paper proposes a method for protecting data from errors, which is based on the method of cluster partitioning of the space of code combinations.