Open AccessDesigning centralised and distributed system integrity protection schemes for enhanced electric grid resiliency
Author(s) -
Ravikumar Krishnanjan Gubba,
Srivastava Anurag K.
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.5381
Subject(s) - electric power system , reliability (semiconductor) , reliability engineering , computer science , grid , blackout , system integrity , distributed generation , power system protection , electric power transmission , transmission system , transmission (telecommunications) , engineering , distributed computing , power (physics) , electrical engineering , renewable energy , telecommunications , physics , geometry , mathematics , quantum mechanics
System integrity protection schemes (SIPSs) are installed at substations to preserve power system stability by preventing bottlenecks in transmission and distribution networks and improving the overall reliability. SIPSs are also referred to as remedial action schemes, emergency control systems, special protection systems, and wide‐area control schemes. Typical SIPSs have centralised computing architectures with applications to ensure reliable power system responses during transmission outages, remediate regional transmission bottlenecks caused by delays in the construction of new lines, prevent severe instability and blackouts due to faults and inadvertent disconnections, prevent line damage resulting from thermal limits, avoid voltage collapse, and protect against other critical events in the power system. This study proposes a distributed computing architecture for SIPSs, including algorithms that use DC and AC optimal power flow. The authors classify SIPS applications based on control types and propose novel algorithms for next‐generation SIPSs using synchrophasors and real‐time technology. The authors also propose testing requirements and architectures for validating SIPSs prior to field installation. Lastly, the authors share results obtained using the proposed SIPS for a transmission overload condition caused by excessive wind generation.