TY - MGZN
T1 - Improving Reliability Through Better Models: Using Synchrophasor Data to Validate Power Plant Models
Y1 - 2014/05//
SP - 44
EP - 51
A1 - Philip N. Overholt
A1 - Dmitry Kosterev
A1 - Joseph H. Eto
A1 - Steve Yang
A1 - Bernard C. Lesieutre
AB - The Office of Electricity Delivery and Energy Reliability of the U.S. Department of Energy (DOE), the Bonneville Power Administration (BPA), and industry and academic collaborators have leveraged resources to develop a new, cost-effective method for validating power plant models using synchrophasor data.
JF - IEEE Power and Energy Magazine
VL - 12
IS - 3
JO - IEEE Power and Energy Mag.
DO - 10.1109/MPE.2014.2301533
ER -
TY - JOUR
T1 - Implementation of a Large-Scale Optimal Power Flow Solver Based on Semidefinite Programming
JF - IEEE Transactions on Power Systems
Y1 - 2013/
SP - 3987
EP - 3998
A1 - Molzahn, Daniel K.
A1 - Holzer, Jesse T.
A1 - Bernard C. Lesieutre
A1 - Christopher L. DeMarco
KW - AA13-005
KW - AARD
KW - optimal power flow (OPF)
KW - RTGRM
AB - The application of semidefinite programming to the optimal power flow (OPF) problem has recently attracted significant research interest. This paper provides advances in modeling and computation required for solving the OPF problem for large-scale, general power system models. Specifically, a semidefinite programming relaxation of the OPF problem is presented that incorporates multiple generators at the same bus and parallel lines. Recent research in matrix completion techniques that decompose a single large matrix constrained to be positive semidefinite into many smaller matrices has made solution of OPF problems using semidefinite programming computationally tractable for large system models. We provide three advances to existing decomposition techniques: a matrix combination algorithm that further decreases solver time, a modification to an existing decomposition technique that extends its applicability to general power system networks, and a method for obtaining the optimal voltage profile from the solution to a decomposed semidefinite program.
VL - 28
IS - 4
JO - IEEE Trans. Power Syst.
DO - 10.1109/TPWRS.2013.2258044
ER -
TY - RPRT
T1 - Improving Dynamic Load and Generator Response Performance Tools
Y1 - 2005/11//
SP - 74
A1 - Bernard C. Lesieutre
KW - consortium for electric reliability technology solutions (certs)
KW - FIDVR
KW - FIDVR-007
KW - WECC Composite Load Model
AB - This report is a scoping study to examine research opportunities to improve the accuracy of the system dynamic load and generator models, data and performance assessment tools used by CAISO operations engineers and planning engineers, as well as those used by their counterparts at the California utilities, to establish safe operating margins. Model-based simulations are commonly used to assess the impact of credible contingencies in order to determine system operating limits (path ratings, etc.) to ensure compliance with NERC and WECC reliability requirements. Improved models and a better understanding of the impact of uncertainties in these models will increase the reliability of grid operations by allowing operators to more accurately study system voltage problems and the dynamic stability response of the system to disturbances.
PB - LBNL
CY - Berkeley
ER -