2020
DOI: 10.1007/978-3-030-63089-8_1
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A Generic Scalable Method for Scheduling Distributed Energy Resources Using Parallelized Population-Based Metaheuristics

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Cited by 5 publications
(1 citation statement)
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“…The provided control functionality for either Transmission System Operators (TSOs) or Distribution System Operators (DSOs) especially allows executing unit commitment schedules on a DER that can address re-dispatch 2.0 requirements for balancing generation and load or retrieving individual forecasting schedules of plants over 100 kW for planning. Internally, the EMS uses, in contrast to [16] a multi-objective optimization method [17], which converts the overall plant network schedule into an optimized set of schedules for each plant of the hub ecosystem. Thereby, the present approach opens the opportunity to fulfill a wide range of configurable objectives to either focus the EHG operation to the local needs.…”
Section: Related Workmentioning
confidence: 99%
“…The provided control functionality for either Transmission System Operators (TSOs) or Distribution System Operators (DSOs) especially allows executing unit commitment schedules on a DER that can address re-dispatch 2.0 requirements for balancing generation and load or retrieving individual forecasting schedules of plants over 100 kW for planning. Internally, the EMS uses, in contrast to [16] a multi-objective optimization method [17], which converts the overall plant network schedule into an optimized set of schedules for each plant of the hub ecosystem. Thereby, the present approach opens the opportunity to fulfill a wide range of configurable objectives to either focus the EHG operation to the local needs.…”
Section: Related Workmentioning
confidence: 99%