Copyrights 2018 © Kalpesh Joshi
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Optimizing Battery Energy Storage System @ WSU, Pullman, WA, USA
Modelled the RFB systema and two feeders In GridLAB-D
Proposed Fuzzy multi-objective optimization approach for optimum dispatch of battery storage
Proposed, planned and executed the research project
With the Washington Clean Energy Fund, Avista, the local electrical utility in Pullman, WA installed a utility-scale flow battery provided by UniEnergy Technologies (UET) on the Campus of Schweitzer Engineering Labs (SEL). As part of this project, Washington State University (WSU) participated in the engineering effort by contributing to the modeling and controls effort related to the proper operation of the battery. The Redox Flow Battery (RFB) is a 1 MW, 3.2 MWh utility scale battery storage system commissioned in April 2015 and installed at the premise of Schweitzer Engineering Laboratories (SEL) in Pullman, WA, USA.
Based on my work on battery energy storage which I presented in IEEE PES General Meeting in Denver in July 2015, I was invited by Prof. Anurag Srivastava to work as a visiting research scholar for six months on the on-going project at the Washington State University (WSU), Pullman, USA. I was assigned the task of preparing the detailed three-phase model of the two Pullman feeders with the Vanadium Redox Flow Battery connected to these feeders. The 1 MW, 3.2 MWh battery energy system was in two modules. I was expected to extract the feeder data from the SynerGEE database, process and format the same in GridLAB-D and prepare the GLM files to run the time-series power flow simulations including the RFB. I had developed the code modules for each of the above tasks in VB script and GridLAB-D. The feeder model was then validated with the benchmark values obtained from SynerGEE.
torage which I presented in IEEE PES General Meeting in Denver in July 2015, I was selected by Prof. Anurag Srivastava to work as a visiting research scholar for six months on
Worked with PNNL, Avista
Project Title: To Develop Control and Optimization Tools for the Battery Control System
Project Funded by: Department of Energy, My visit was supported by Indian Institute of Technology Gandhinagar
Project Supervisor: Prof. Anurag srivastava, Washington State University, Pullman, WA, USA
Research Focus: To prepare a detailed 3-phase models of the two feeders with the two modules of the Redox Flow Battery (RFB) and develop an optimization algorithm for planning a day-ahead dispatch of the RFB.
Project funded by DoE, USA
My visit funded by Indian Institute of Technology Gandhinagar