Kalpesh Joshi

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Site last updated on 7/10/2019 12:02:20 PM CST

Optimizing Battery Energy Storage System @ WSU, Pullman, WA, USA

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Poster (.png)

Submitted Paper (.pdf)

My Contribution

Modelled two feeders In GridLAB-D

Proposed Fuzzy multi-objective optimization approach for dispatch of battery storage

Proposed, planned and executed the research project

Project - Battery Energy Storage in Distribution Networks

The Context:

As part of 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.  

My Role:

Based on my work on battery energy storage 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 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. The two feeders operated by the local utility were connected to the RFB. I was expected to extract the feeder data from the SynerGEE database, process and format the same in GridLAB-D format 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.

Project Outcome:

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

  1. Developed the code modules to extract the feeder data from the SynerGEE database, format it and prepare the GLM files for GridLAB-D
  2. Performed time-series power flow simulations in GridLAB-D and validated the feeder models
  3. Developed a Fuzzy multi-objective optimization algorithm to plan the day-ahead dispatch of the battery energy storage system to optimize the daily operations of the two Pullman feeders
  4. The project effort and results are partially published in the following two publications:
Highlights

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 which the Redox Flow Battery (RFB) is connected and develop an optimization algorithm for planning a day-ahead dispatch of the RFB.

Project funded by DoE, USA

Funded by Indian Institute of Technology Gandhinagar