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AssigneeTata Consultancy Services Limited
InventorsSMITA SANJAY LOKHANDE, NIDHISHA MAHILONG, ASHUTOSH PRAJAPATI, YOGESH KUMAR BICHPURIYA, VISHNU PADMAKUMAR MENON, VENKATESH SARANGAN, NARAYANAN RAJAGOPAL
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Owing to their stochastic nature, Distributed Energy Resources (DERs) are more suited to participate in short-term or intraday electricity markets. However, it is very difficult for an asset owner to manage their operation when interacting with markets and create operation schedules. Present disclosure provides systems and methods that for the trades/bids placed earlier to be corrected based on the revised forecasts of demand and generation in the DER pool. The system models an optimal bidding problem of aggregators in an intraday market as a mixed-integer non-linear programming (MINLP) problem. The MINLP problem is converted to an NLP problem by an optimization model and integer variables are relaxed to solve the NLP problem and obtain (i) an optimal intraday operating schedule for one or more DERs, and (ii) an intraday bid associated with the DERs for a plurality of delivery slots to be traded in an intraday market.
A processor implemented method, further comprising:
A system, comprising:
One or more non-transitory machine-readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:
Dependencies are inferred from the claim text.