Centralized stochastic energy management framework of an aggregator in active distribution network

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dc.contributor.author Patnam, Bala Sai Kiran
dc.contributor.author Pindoriya, Naran M.
dc.date.accessioned 2018-07-24T06:37:02Z
dc.date.available 2018-07-24T06:37:02Z
dc.date.issued 2018-07
dc.identifier.citation Patnam, Bala Sai Kiran and Pindoriya, Naran M., "Centralized stochastic energy management framework of an aggregator in active distribution network", IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2018.2854744, Jul. 2018. en_US
dc.identifier.issn 1551-3203
dc.identifier.issn 1941-0050
dc.identifier.uri https://doi.org/10.1109/TII.2018.2854744
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/3829
dc.description.abstract This paper develops a detailed and sequential procedure for short term operation of an aggregator to minimize the cost of the consumer and risk of the aggregator, which includes day-ahead (DA) and real-time (RT) operation. DA operation has two stages: consumer load scheduling and risk-based energy procurement. Consumer load scheduling implemented over a radial distribution network by a cost minimization objective function which considers electricity price and solar PV uncertainty, peak-to-average ratio, and phase unbalance. This model is formulated as a mixed integer non-linear program. In the second stage, a risk based energy procurement is formulated, here, the aggregator has choice of energy procurement from wholesale market either in DA market or RT market to meet the scheduled power. In RT operation, the aggregator take a decision on share of RT purchases and battery schedules to minimize the cost of scheduled load power deviations. In order to realize this, a rolling window optimization is implemented which is modeled as mixed integer problem. The framework is demonstrated with a detailed case study of 15 node radial active distribution network consisting of 420 number of residential customers.
dc.description.statementofresponsibility by Bala Sai Kiran Patnam and Naran M. Pindoriya
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en_US
dc.subject Real-time systems en_US
dc.subject Energy management en_US
dc.subject Uncertainty en_US
dc.subject Optimization en_US
dc.subject Job shop scheduling en_US
dc.subject Minimization en_US
dc.subject Load modeling en_US
dc.subject Battery energy storage en_US
dc.subject direct load control en_US
dc.subject energy management en_US
dc.subject load scheduling en_US
dc.subject real-time en_US
dc.subject stochastic optimization en_US
dc.subject uncertainty en_US
dc.title Centralized stochastic energy management framework of an aggregator in active distribution network en_US
dc.type Article en_US
dc.relation.journal IEEE Transactions on Industrial Informatics

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