Authors: Paul Hines, Sarosh Talukdar
Addresses: School of Engineering, University of Vermont, Burlington, VT, USA. ' Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
Abstract: Cascading failures in electrical power networks often come with disastrous consequences. A variety of schemes for mitigating cascading failures exist, but the vast majority depend upon centralised control architectures. Centralised designs are frequently more susceptible to communications latency and bandwidth limitations and can be vulnerable to random failures and directed attacks. This paper proposes a decentralised approach. We place control agents at each substation in a power network, each of which uses decentralised Model Predictive Control (MPC) to select emergency control actions. When making decisions, the control agents consider not only their own goals, but also the goals of nearby agents. Thus the agents act with Reciprocal Altruism (RA). Results from simulations of extreme cascading failures within the IEEE 300 bus test network indicate that this approach can dramatically reduce the average size and social cost of large cascading failures. Simulations also show that the bandwidth required for message passing is well within the limits of current technology.
Keywords: problem decomposition; model predictive control; decentralised MPC; reciprocal altruism; cascading failures; power systems; blackouts; electrical power networks; critical infrastructures; control agents; agent-based systems; multi-agent systems; simulation.
International Journal of Critical Infrastructures, 2009 Vol.5 No.4, pp.340 - 356
Available online: 04 Nov 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article