Autonomous adaptive agents for distributed control of the electric power grid in a competitive electric power industry

Wildberger, A. Martin

doi:10.1109/kes.1997.616845

Cited by 7 publications

(3 citation statements)

References 11 publications

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“…For example, the North American Power Grid is to some degree one large interconnected network (2), which definitely requires reliability and security. This kind of critical infrastructure, however, tends to be interrupted by various sources, such as wear and tear, natural phenomena, and human errors (5).…”

Section: Introductionmentioning

confidence: 99%

“…This can be observed in the major grid blackouts in North America and Europe (2). That is to say, reliable service is critically dependent upon the whole infrastructure' ability to respond to changeful conditions instantaneously (5). Correspondingly, industry has made great efforts in reducing the response time to local disturbance in the critical infrastructures, via employing powerful central controller.…”

Section: Introductionmentioning

confidence: 99%

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Intelligent controller with cache for critical infrastructures

Weng¹,

Niu²,

Liu³

et al. 2010

IET International Conference on Frontier Computing. Theory, Technologies and Applications

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Critical infrastructures require precise and swift response to a local disturbance before it would spread and accumulate. To meet the demand on response time, we propose an intelligent controller with cache design. The controller stores previous decisions and rates them based on a comprehensive evaluation. With those ratings, the controller can intelligently choose the decision leading to the optimum result. Meanwhile, cache is used to further reduce the access time to the stored decisions. Speedups up to 4.7X over the former centralized infrastructures are achieved based on our hardware design and simulation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intelligent controller with cache for critical infrastructures

Weng¹,

Niu²,

Liu³

et al. 2010

IET International Conference on Frontier Computing. Theory, Technologies and Applications

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“…This work has concentrated on increasing the survivability of software agents such as those used in the U.S. electric power distribution grid [13], [14]. A prototype implementation demonstrates the viability of the system and provides a quantitative analysis of fault recovery in a realtime simulated environment.…”

Section: Introductionmentioning

confidence: 99%

Survivability through Run-Time Software Evolution

Simmons

Edwards

2009

2009 Eighth IEEE International Symposium on Network Computing and Applications

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In this paper we present an architectural framework designed to increase the survivability of software agent nodes in a distributed system. A multi-layered model replaces the original node software. Original computational requirements of the node are retained in the lowest level. The upper layers of the model provide protective and supportive services.Model components are mutated to create behaviorally identical but structurally distinct software. The lowest level of the framework is composed of replicated components drawn from a pool of mutations. The diverse population provides for identification of faulty or compromised components through a voting technique implemented in a higher level of the architecture. Failure recovery automatically creates a different component population. Unless multiple components are simultaneously compromised, the node continues functioning during failure recovery.Preliminary test results of a prototype implementation are given. The tests show that the architecture is feasible and that, in the simulated test environment, overhead is acceptably low. Recovery from single component failures and multiple component failure is demonstrated.

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