Dinghuan Zhu Defense

Dinghuan Zhu Defense


Starts at: April 30, 2014 1:00 PM

Ends at: 4:00 PM

Location: Porter Hall B34

Details:

Multi-Timescale Control of Energy Storage Enabling the Integration of Variable Generation 

This dissertation is motivated by the fact that more and more variable renewable energy sources (RESs) such as wind and solar generators are added to the legacy electric power system, introducing large uncertainties and variations in the power supply side. As a result, the chance of having large power mismatches that have to be balanced in real time increases drastically. This dissertation concentrates on providing real power balancing control solutions in terms of energy storage devices. The large-scale energy storage is identified as a key enabler for a future with high penetration of renewable generation. However, the question of how to optimally and safely integrate energy storage into the power grid remains open.

A two-level optimal coordination control approach for energy storage and conventional generation consisting of advanced frequency control and stochastic optimal dispatch is proposed to deal with the real power balancing control problem introduced by RESs in power systems. In the proposed approach, the power and energy constraints on energy storage are taken into account in addition to the traditional power system operational constraints such as generator output limits and power network constraints. The advanced frequency control which is based on the robust control theory and the decentralized static output feedback design is responsible for the system frequency stabilization and restoration, whereas the stochastic optimal dispatch which is based on the concept of stochastic model predictive control determines the optimal dispatch of generation resources and energy storage under uncertainties introduced by RESs as well as demand. The underlying control design philosophy across the entire work is the so-called time-scale matching principle, i.e. the conventional generators are mainly responsible to balance the low frequency components of the power variations whereas the energy storage devices because of their fast response capability are employed to alleviate the relatively high frequency components. The performance of the proposed approach is tested and evaluated by numerical simulations on both the WECC 9-bus system and the IEEE New England 39-bus system.