Integration of optimal operational dispatch and controller determined dynamics for microgrid survivability
Abstract
We present that the reliability and resilience of the electrical power grids are essential to industry, economy and society. Microgrids that are able to island from the bulk electrical grid are one technology that may vastly improve electrical power service to customer loads. To achieve these improvements, an islanded microgrid should be able to operate through the loss of one of its generators without shedding electrical load. The loss of one generator will typically result in significant additional loads, including transient overloads, being placed on the remaining generators. There is also the possibility of additional generator tripping during these processes (i.e. cascading failures), which would likely result in the collapse of the microgrid. The novelty of our work consists in incorporating dynamic models of generator controllers into a microgrid optimal dispatch formulation with the ultimate goal to avoid operational failures and ensure the “survivability” of all-inverter microgrids to generator loss and transient overloads. The integration of generator and controller dynamics into the optimal dispatch formulation significantly increases the computational complexity. As we develop algorithms to restore speed of the optimization, our method can be readily implemented into a new operational strategy capable of an unprecedented level of reliability against generatormore »
- Authors:
-
[1];
[2];
[1]
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Watson Institute for Systems Excellence (WISE), The Research Foundation for SUNY at Binghamton ITC, NY (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Office of Electricity (OE)
- OSTI Identifier:
- 1544675
- Alternate Identifier(s):
- OSTI ID: 1636396
- Report Number(s):
- LA-UR-18-26977
Journal ID: ISSN 0306-2619
- Grant/Contract Number:
- 89233218CNA000001
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Applied Energy
- Additional Journal Information:
- Journal Volume: 230; Journal Issue: C; Journal ID: ISSN 0306-2619
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 24 POWER TRANSMISSION AND DISTRIBUTION; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Microgrids; Transients; Optimization; Operations; Control systems
Citation Formats
Cattaneo, Alessandro, Madathil, Sreenath Chalil, and Backhaus, Scott N. Integration of optimal operational dispatch and controller determined dynamics for microgrid survivability. United States: N. p., 2018.
Web. doi:10.1016/j.apenergy.2018.08.127.
Cattaneo, Alessandro, Madathil, Sreenath Chalil, & Backhaus, Scott N. Integration of optimal operational dispatch and controller determined dynamics for microgrid survivability. United States. doi:10.1016/j.apenergy.2018.08.127.
Cattaneo, Alessandro, Madathil, Sreenath Chalil, and Backhaus, Scott N. Thu .
"Integration of optimal operational dispatch and controller determined dynamics for microgrid survivability". United States. doi:10.1016/j.apenergy.2018.08.127. https://www.osti.gov/servlets/purl/1544675.
@article{osti_1544675,
title = {Integration of optimal operational dispatch and controller determined dynamics for microgrid survivability},
author = {Cattaneo, Alessandro and Madathil, Sreenath Chalil and Backhaus, Scott N.},
abstractNote = {We present that the reliability and resilience of the electrical power grids are essential to industry, economy and society. Microgrids that are able to island from the bulk electrical grid are one technology that may vastly improve electrical power service to customer loads. To achieve these improvements, an islanded microgrid should be able to operate through the loss of one of its generators without shedding electrical load. The loss of one generator will typically result in significant additional loads, including transient overloads, being placed on the remaining generators. There is also the possibility of additional generator tripping during these processes (i.e. cascading failures), which would likely result in the collapse of the microgrid. The novelty of our work consists in incorporating dynamic models of generator controllers into a microgrid optimal dispatch formulation with the ultimate goal to avoid operational failures and ensure the “survivability” of all-inverter microgrids to generator loss and transient overloads. The integration of generator and controller dynamics into the optimal dispatch formulation significantly increases the computational complexity. As we develop algorithms to restore speed of the optimization, our method can be readily implemented into a new operational strategy capable of an unprecedented level of reliability against generator contingencies. In addition, we quantitatively illustrate the effect of the survivability constraints on the microgrid operating costs and how the related trade-off between capital and operating costs should be taken into account at the design stage. Finally, the methods developed here also apply to the dispatch of off-grid microgrids.},
doi = {10.1016/j.apenergy.2018.08.127},
journal = {Applied Energy},
number = C,
volume = 230,
place = {United States},
year = {2018},
month = {9}
}
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