عنوان

Advanced Battery System Modeling for Optimal Power Grid Integration

Number

TL1xk9k18v

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Advanced Battery System Modeling for Optimal Power Grid Integration

General Material Designation

[Thesis]

First Statement of Responsibility

Taylor, Zachariah David

Subsequent Statement of Responsibility

Mohsenian-Rad, Hamed

Name of Publisher, Distributor, etc.

UC Riverside

Date of Publication, Distribution, etc.

2018

Body granting the degree

UC Riverside

Text preceding or following the note

2018

Text of Note

A battery energy storage systems (BESS) with power electronics capable of reactive power control can be used as a fully controllable 4-quadrant load/generator, and, when controlled intelligently, it can be used to help mitigate a myriad of distribution grid issues. The research goal in this thesis is to find the optimal way to practically model and use BESS as a distributed power resource in various situations. Each situation has brought its own set of real-world constraints such as battery capacity, efficiency, electrical billing, battery state of balance, and operational issues.Full scale and lab scale experiments were done to explore the operational issues in real hardware battery energy storage systems. In the full-scale results, a stochastic optimization-based framework is developed and implemented, to demonstrate conducting peak load reduction at a distribution feeder using customer owned batteries, under both offline and online control settings. Multiple experimental tests were performed by operating a 1 MWh / 200 kW battery at UCR's Center for Environmental Research