Renewable energy integration and system operation challenge: control and optimization of millions of devices

Xu, Ying; Sun, Wei; Qu, Zhihua

doi:10.1016/b978-0-12-820168-8.00003-1

Renewable energy integration and system operation challenge: control and optimization of millions of devices

Journal Article · Fri Jan 01 00:00:00 EST 2021 · New Technologies for Power System Operation and Analysis

DOI:https://doi.org/10.1016/b978-0-12-820168-8.00003-1· OSTI ID:2326016

Xu, Ying ^[1]; Sun, Wei; Qu, Zhihua

University of Central Florida

The electric power infrastructure, originally designed and built on large-scale power plants, is evolving into a more resilient power generation and delivery system in which millions of smaller units of distributed energy generation resources units will be installed in sub-transmission and distribution networks. In order to control, manage and optimize the future grid, a hierarchical design is presented in this chapter which enables the distributed control on grid edge while inheriting the existing centralized control structure. This layered design of large-scale power system operation and control uses the following principle: reactive power control is treated as a primary control for voltage stability, and the real power control is primarily a grid-level control but can also be a supplementary control for voltage support in the case of insufficient reactive power control capacity. For the purpose of active control and operation at the distribution level, a recursive power network model is derived from nodal injection and branch power flow models. Based on the model, the proposed algorithms of hierarchical control, grid-edge inference and dynamic hosting allowance are developed and presented for multi-level controlled operation. And, a co-simulation architecture of integrated T&D system is presented to validate and demonstrate the feasibility and scalability of proposed algorithms.

View Accepted Manuscript (DOE)

Research Organization:: Univ. of Central Florida, Orlando, FL (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: EE0009028

OSTI ID:: 2326016

Alternate ID(s):: OSTI ID: 2324964
OSTI ID: 1574240

Journal Information:: New Technologies for Power System Operation and Analysis, Journal Name: New Technologies for Power System Operation and Analysis

Country of Publication:: United States

Language:: English

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