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Control of hyprid PV plants in the future power systems

November 4, 2022

Location: HEC-450 at 10am.


With the increasing penetration of renewable generation and storage systems, new control methods have to provide a seamless transition from today’s grid to the future renewable-dominated grid at different time scales. Using a hybrid PV plant as an example, this talk will discuss how PV and storage sys-tems can provide similar functionalities as a conventional generation plant in the energy market and sup-port grid transient stability.


  • First, a forecasting-based bidding algorithm that enables the hybrid PV plant to join the market will be introduced. Each hybrid plant bids into the day-ahead market based on the forecasted PV generation and a particular battery operation strategy. The objective is to provide a plant-level algorithm for plant owners and a scalable framework that can reduce the computational burden at the ISO level.
  • Second, an inverter parameter-tuning algorithm will be discussed. The current grid can be viewed as a networked system with homogenous oscillators (synchronous generators). With more inverter-based resources entering the grid, the power system will operate in the “hybrid model” with a mix of synchronous generators and inverters. Grid-forming inverters paired with PV and storage systems could replace the frequency response provided by synchronous generators and potentially improve the system’s transient stability.


The hybrid PV plant study introduced in this talk is supported by the U.S. Department of Energy’s Office of EERE under award DE-EE0009341.

Ziang “John” _Zhang is an Associate Professor of Electrical and Computer Engineering at Binghamton University – SUNY, Binghamton, NY. Zhang received his B.S. degree from the Beijing Institute of Tech-nology, Beijing, China, in 2007; his M.S. degree from Purdue University Calumet, Hammond, IN, in 2009; and his Ph.D. degree in electrical engineering from North Carolina State University, Raleigh, NC, in 2013. Before joining Binghamton University, Zhang worked at ABB US Corporate Research Center in Raleigh, NC. He is an R&D advisor of the National Offshore Wind R&D Consortium, a member of the IEEE P2800-2 Test and Verification of BPS-connected Inverter-Based Resources working group, and a member of the IEEE PES Task Force on Decision Support Tools for Energy Storage Investment and Operations. His current research interests include power system stability, battery systems operations, and renewable energy integration.