Practice Summary: Improved Reliability via Optimization in Residential Microgrids

Mcilvenna, Amelia; Ostrowski, Jim; Herron, Jr., Andrew; King, Daniel; Irminger, Philip; Hambrick, Joshua; Ollis, Ben

doi:10.1287/inte.2020.1030

Practice Summary: Improved Reliability via Optimization in Residential Microgrids

Journal Article · 10 March 2020 · Informs Journal on Applied Analytics

DOI:https://doi.org/10.1287/inte.2020.1030· OSTI ID:1608223

Mcilvenna, Amelia ^[1]; ^[1]; ^[2]; ^[2]; ^[2]; ^[2]; ^[2]

Univ. of Tennessee, Knoxville, TN (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Southern Company is an electric utility that is embracing residential microgrids as a platform for distributed energy. The first residential microgrid in the southeastern United States was constructed in Hoover, Alabama, as a testbed for development. To operate the microgrid, we developed an optimization model for unit commitment and economic dispatch. We report the optimization model was implemented in a microgrid central controller and tested under various operational scenarios. Challenges also include developing a pricing algorithm to deliver price forecasts to the residential homes in the microgrid and open-source software restrictions.

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Electricity (OE)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1608223

Journal Information:: Informs Journal on Applied Analytics, Vol. 50, Issue 2; ISSN 2644-0865

Publisher:: INFORMSCopyright Statement

Country of Publication:: United States

Language:: English

References (13)

A modeling framework for optimal energy management of a residential building Sharma, Isha; Dong, Jin; Malikopoulos, Andreas A. Energy and Buildings, Vol. 130 https://doi.org/10.1016/j.enbuild.2016.08.009	journal	October 2016
Optimal control of a residential microgrid Kriett, Phillip Oliver; Salani, Matteo Energy, Vol. 42, Issue 1 https://doi.org/10.1016/j.energy.2012.03.049	journal	June 2012
A Microgrid Energy Management System Based on the Rolling Horizon Strategy Palma-Behnke, Rodrigo; Benavides, Carlos; Lanas, Fernando IEEE Transactions on Smart Grid, Vol. 4, Issue 2 https://doi.org/10.1109/TSG.2012.2231440	journal	June 2013
Radial Distribution Load Flow Using Conic Programming Jabr, R.A. IEEE Transactions on Power Systems, Vol. 21, Issue 3, p. 1458-1459 https://doi.org/10.1109/TPWRS.2006.879234	journal	August 2006
Optimal capacitor placement on radial distribution systems Baran, M. E.; Wu, F. F. IEEE Transactions on Power Delivery, Vol. 4, Issue 1 https://doi.org/10.1109/61.19265	journal	January 1989
Semidefinite programming for optimal power flow problems Bai, Xiaoqing; Wei, Hua; Fujisawa, Katsuki International Journal of Electrical Power & Energy Systems, Vol. 30, Issue 6-7, p. 383-392 https://doi.org/10.1016/j.ijepes.2007.12.003	journal	July 2008
Centralized Control for Optimizing Microgrids Operation Tsikalakis, Antonis G.; Hatziargyriou, Nikos D. IEEE Transactions on Energy Conversion, Vol. 23, Issue 1 https://doi.org/10.1109/TEC.2007.914686	journal	March 2008
The QC Relaxation: A Theoretical and Computational Study on Optimal Power Flow Coffrin, Carleton; Hijazi, Hassan L.; Van Hentenryck, Pascal IEEE Transactions on Power Systems, Vol. 31, Issue 4 https://doi.org/10.1109/TPWRS.2015.2463111	journal	July 2016
Exact convex relaxation of OPF for radial networks using branch flow model Li, Na; Chen, Lijun; Low, Steven H. 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm) https://doi.org/10.1109/SmartGridComm.2012.6485951	conference	November 2012
A mathematical model for the optimal operation of the University of Genoa Smart Polygeneration Microgrid: Evaluation of technical, economic and environmental performance indicators Bracco, Stefano; Delfino, Federico; Pampararo, Fabio Energy, Vol. 64 https://doi.org/10.1016/j.energy.2013.10.039	journal	January 2014
Critical review of recent advances and further developments needed in AC optimal power flow Capitanescu, Florin Electric Power Systems Research, Vol. 136 https://doi.org/10.1016/j.epsr.2016.02.008	journal	July 2016
Pyomo: modeling and solving mathematical programs in Python Hart, William E.; Watson, Jean-Paul; Woodruff, David L. Mathematical Programming Computation, Vol. 3, Issue 3 https://doi.org/10.1007/s12532-011-0026-8	journal	August 2011
Pyomo — Optimization Modeling in Python Hart, William E.; Laird, Carl D.; Watson, Jean-Paul Springer Optimization and Its Applications https://doi.org/10.1007/978-3-319-58821-6	book	January 2017

Similar Records

Reducing the computational burden of a microgrid energy management system

Journal Article · 2020 · Computers and Industrial Engineering · OSTI ID:1649551

Mcilvenna, Amelia; Herron Jr, Drew; Hambrick, Joshua; +2 more

Peak Reduction in a Residential Community Through Bayesian Optimization of Transactive Control Signals

Conference · 2021 · OSTI ID:1813268

Schomer, Ian; Ollis, Ben; Li, Fangxing

STOCHASTIC OPTIMAL POWER FLOW FOR REAL-TIME MANAGEMENT OF DISTRIBUTED RENEWABLE GENERATION AND DEMAND RESPONSE (Final Report)

Technical Report · 2021 · OSTI ID:1990021

Zhang, Junshan

Related Subjects

29 ENERGY PLANNING, POLICY, AND ECONOMY
microgrid
integer programming
reliability

Practice Summary: Improved Reliability via Optimization in Residential Microgrids

Citation Formats

References (13)

Similar Records

Related Subjects