{'fraction_non_alphanumeric': 0.01818181818181818, 'fraction_numerical': 0.003827751196172249, 'mean_word_length': 5.263473053892215, '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}}
An enhanced virtual power plant for flexibilty services into a local area (including EV's)

Aggregation by Virtual Power Plants to provide flexibility to distribution and transmission networks is seen as an important element in the transition to Net-zero. This paper presents work carried out in the SIES 2022 ERA-Net project, which is investigating in detail the possible provision of flexibility by different technologies, including EVs, but thorough a lens of different business models. Thus, presented work relies on the real use cases. The focus of this work is on the construction of grid representations to guide bidding in potential flexibility markets. It shows that without an appropriate level of detail on the wider grid connections, these bidding strategies, and therefore associated asset optimization schedules, could lead to errors. A methodology that derives EV price response curves is highlighted, with an aim to use such curves in sophisticated optimization scheduling module for further work in management of EV integration.