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公开(公告)号：US20230419211A1
公开(公告)日：2023-12-28
申请号：US18323012
申请日：2023-05-24
Applicant: Tata Consultancy Services Limited
Inventor： VISHNU PADMAKUMAR MENON , YOGESH KUMAR BICHPURIYA , VENKATESH SARANGAN , SMITA LOKHANDE , ASHUTOSH PRAJAPATI , NARAYANAN RAJAGOPAL , NIDHISHA MAHILONG
IPC: G06Q10/0631 , G06Q50/06
CPC classification number: G06Q10/06313 , G06Q50/06
Abstract: This disclosure relates generally to optimal intraday scheduling of aggregated Distributed Energy Resources (DERs). Owing to their stochastic nature, DERs aggregators are more suited to participate in intraday electricity markets. The current works on DER aggregators trading in intraday markets do not satisfactorily model the different aspects. The disclosure is an optimal trading strategy for aggregators managing heterogeneous DERs to participate in intraday markets. The intraday market is modelled using a joint price-volume dynamics distribution and an optimal bidding strategy is disclosed for the trades/bids placed earlier to be corrected based on the revised forecasts of demand and generation while allowing for energy exchanges within the DER pool. Further the optimal bidding strategy of aggregators in an intraday market is a MINLP problem, which is solved by converting the complex non-linearities in the problem into a coupled MILP—simple maximization set-up, which is then solved in an iterative fashion.
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2.发明公开公开(公告)号：US20230410201A1
公开(公告)日：2023-12-21
申请号：US18323182
申请日：2023-05-24
Applicant: Tata Consultancy Services Limited
Inventor： SMITA SANJAY LOKHANDE , NIDHISHA MAHILONG , ASHUTOSH PRAJAPATI , YOGESH KUMAR BICHPURIYA , VISHNU PADMAKUMAR MENON , VENKATESH SARANGAN , NARAYANAN RAJAGOPAL
Abstract: 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.
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公开(公告)号：US20250062618A1
公开(公告)日：2025-02-20
申请号：US18760411
申请日：2024-07-01
Applicant: Tata Consultancy Services Limited
Abstract: The disclosure relates generally to methods and systems for real-time voltage stabilization of electrical distribution networks with non-linear power flows. Existing real-time voltage control techniques are neither performance nor stability guarantees. The present disclosure proposes an online robust control algorithm, which operates without knowing an exact information of the line-parameters and resolves the voltage stability problem. In the proposed method a load data, a distributed energy resources (DER) data, and a network data of an electrical distribution network is obtained, to obtain a voltage profile at each time-step of the electrical distribution network. Next, line-parameters of the electrical distribution network are predicted using an on-line convex optimization technique and a Gauss-Seidel technique. Then, a stable control signal for each bus that stabilizes a voltage of the electrical distribution network is determined to utilize the stable voltage for the voltage stabilizing of the electrical distribution network in real-time.
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