{'fraction_non_alphanumeric': 0.007276507276507277, 'fraction_numerical': 0.005197505197505198, 'mean_word_length': 5.78169014084507, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A conceptual study of systems architecture for decentralised topology inference of distribution networks

Power system operation and control relies heavily on models for decision making. Determining the topology of electrical distribution networks is a critical part of producing these models and maintaining up-to-date topologies is a resource consuming and challenging task. This paper provides a conceptual study of a methodology and supporting system architecture for real time inference of electrical topology using process and model data from IEC 61850 compliant substation automation devices .The conceptual study aims to provide a discussion of the performance and scalability of such systems based on an analysis scenario. The decentralized topology inference system concept forms the basis for future work in operation and management of active distribution networks accommodating larger integration of distributed energy sources of intermittent nature.