#6576. An integrated flexibility optimizer for economic gains of local energy communities — A case study for a University campus

January 2027publication date
Proposal available till 05-06-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Electrical and Electronic Engineering;
Control and Systems Engineering;
Energy Engineering and Power Technology;
Renewable Energy, Sustainability and the Environment;
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Abstract:
With a capacity-based network tariff structure, consumers are encouraged to reduce their connection capacity to avoid higher costs. However, overloading beyond the administrative grid connection capacity limit would result in an increased connection capacity, thus prosumers have to pay the increased electricity bill for the rest of the year. Therefore, it is important to optimize the energy generation and consumption profiles of local energy communities (LECs) considering the comfort level of occupants. This work aims to reduce the overloading of the grid connection and increase the utilization of local renewable energy resources (RES) thus avoids being penalized throughout the year due to casual intermittent overloading in peak hours, even once in a year. The present work proposes a novel data-driven flexibility optimizer model for day-ahead scheduling of energy profiles for LECs, considering photovoltaic (PV) generation, heat pump (HPs), and cooling loads. The proposed methodology has been developed to explore the flexibility potentials from a university campus network which includes both electrical and heating/cooling systems in an integrated way. A two-layer optimization strategy is developed, to guard the occupants comfort level. Simulation has been performed for complete two months, considering winter and summer scenarios.
Keywords:
Demand-response; Local energy communities (LECs); Low voltage distribution network; Operational flexibility; Peak demand management; Smart-community

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