Tata Consultancy Services Limited

Abb Technology Ltd

Abb Schweiz Ag

Narayanan Rajagopal

Yogesh Kumar Bichpuriya

Venkatesh Sarangan

Smita Sanjay Lokhande

Abhilash Gopalakrishnan

Padmasri Krishnamurthy

Sivaramakrishnan Chandrasekaran

Nilesh Sadashiv Hiremath

Vinodhkanna Jayaraman

Anoop A Parapurath

Aashutosh Kumar Soni

Sumit Kumar Ray

Subrata Indra

Subham Kumar

Vishnu Padmakumar Menon

This disclosure provides a system and method for flexibility based profit allocation for aggregator with distributed energy resources (DERs). The method of the present disclosure considers an aggregation model that allows an aggregator to orchestrate a set of heterogeneous DERs while enabling energy exchange among subscribed DERs and to participate in a day-ahead market. Further, a flexibility index is used to quantify the flexibility offered by a DER and a novel profit allocation model is proposed based on the flexibility index. Efficacy of the proposed models is demonstrated by evaluating their performance on a group of heterogeneous DERs using data traces from real-world electricity market.

System and method for flexibility based profit allocation for aggregator with distributed energy resources

This disclosure relates generally to a system and method for transactive energy (TE) market model. Existing TE models either consider market without a network simulation model or both the market model and the network simulation model are considered in a single formulation which makes the computation complex. The disclosed system considers both the power flow simulation of the network and the market model in a sequence. In other words, the disclosed system decouples the market model and network model to reduce the computational complexity at the same time without sacrificing on the technical feasibility of the solution.

System and method for transactive energy market

This disclosure relates to methods and systems for simulation of electricity value ecosystem using agent based modeling approach. State-of-the-art methods utilize simulation tools to support decision making that do not model agents own behaviour and its response to other agents based on an interaction, thereby unable to analyse complex interactions in the electricity value ecosystem. The present disclosure provides a generalized integrated simulation platform which provides dynamic configurability to simulate a plurality of user requirements associated with the electricity value eco-system using a causal diagram which is further used to identify a plurality of agents. Further, a plurality of a plurality of models and processes for the plurality of agents are determined or generated based on their availability in a repository. The causal diagram is refined in accordance with one or more constraints which supports in making a better and informed decision considering changing dynamics of the plurality of agents.

Systems and methods for simulation of electricity value ecosystem using agent based modeling approach

A method and a system are disclosed for simulation in a substation. The method can include acquiring substation data from substation condition data and base substation record; adapting the acquired substation data to suit a target substation; and administering the adapted substation data on a communication channel of the target substation. The substation system can include a base substation which is an existing, a pre existing, or a target substation, or a substation defined by a user or any combination thereof; a substation automation system; test equipment configured to test the system and perform simulation in a target substation; and a human machine interface for interfacing the substation system with a user.

Method and a system for simulation in a substation

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Bengaluru, India

Narayanan Rajagopal