transmission networks;
disasters;
power grids;
integer programming;
linear programming;
resiliency oriented integration;
DSR;
power system;
natural disasters;
planning procedure;
distributed series reactors;
transmission grids;
power flows;
mixed integer linear programming problem;
load shedding;
information gap decision theory-based method;
IEEE-RTS 24-bus test system;
POWER-SYSTEMS;
VULNERABILITY;
GRIDS;
D O I:
10.1049/iet-gtd.2016.1536
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
Secure and reliable operation of power system in normal and contingency conditions is of great importance for system operator. Natural disasters can seriously threaten power systems' normal operation with catastrophic consequences. While hardening approaches may be considered for resiliency improvement, an application of a new and cost-effective technology is proposed in this study. A planning procedure is proposed for integrating distributed series reactors (DSR)into transmission grids for improving the resiliency against these disasters. DSRs are able to control power flows through meshed transmission grids and thus improve the power transfer capability and the penetration level of renewable generation. The problem of integrating DSRs into transmission grids is formulated as a mixed integer linear programming problem. Different load and wind profiles and a predefined number of disaster scenarios are considered in evaluating the impacts of DSRs on system's operational costs, wind curtailment and load shedding during disasters and normal condition. The uncertainty of wind generation can affect economic viability of DSRs deployment which is handled using information gap decision theory. It is implemented on the IEEE-RTS 24-bus test system and results show the functionality of DSRs in converting the conventional transmission grid into a flexible and dispatchable asset.
机构:
San Francisco State Univ, Coll Sci & Engn, 1600 Holloway Ave, San Francisco, CA 94132 USAUniv Connecticut, Sch Engn, 371 Fairfield Way, Storrs, CT 06269 USA
Tehranipoor, Fatemeh
IET COMPUTERS AND DIGITAL TECHNIQUES,
2018,
12
(06):
: 289
-
296
机构:
Moscow State University of Instrument Engineering and Information Science, MoscowMoscow State University of Instrument Engineering and Information Science, Moscow