Development of a Knowledge Based System for Power System Restoration

Sakaguchi, Toshiaki; Matsumoto, Keinosuke

doi:10.1109/tpas.1983.317770

Cited by 259 publications

(35 citation statements)

References 3 publications

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“…The first strategy is to use domain-expert knowledge (i.e., the power engineer intuition) to guide an incomplete search of the solution space. These incomplete search methods include knowledgebased and expert systems [4], [5], [6], [7] and local search [8], [9]. The second strategy is to approximate the power system with a linear model and to try solving the approximate problem optimally [10], [1], [11].…”

Section: Previous Workmentioning

confidence: 99%

Strategic stockpiling of power system supplies for disaster recovery

Coffrin

Hentenryck

Bent

2011

2011 IEEE Power and Energy Society General Meeting

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Section: Previous Workmentioning

confidence: 99%

Strategic stockpiling of power system supplies for disaster recovery

Coffrin

Hentenryck

Bent

2011

2011 IEEE Power and Energy Society General Meeting

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“…power engineer intuition) to guide an incomplete search of the solution space. These incomplete search methods include Knowledge Based Systems [16], Expert Systems [10,3,5], and Local Search [12,13]. The second strategy is to approximate the power system with a linear model and solve the approximate problem optimally [17].…”

Section: Dynamic Behaviormentioning

confidence: 99%

Strategic Planning for Power System Restoration

Coffrin

Hentenryck

Bent

2011

Vulnerability, Uncertainty, and Risk

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This paper considers the power system restoration planning problem (PSRPP) for disaster recovery, a fundamental problem faced by all populated areas. PSRPPs are complex stochastic optimization problems that combine resource allocation, warehouse location, and vehicle routing considerations. Furthermore, electrical power systems are complex systems whose behavior can only be determined by physics simulations. Moreover, these problems must be solved under tight runtime constraints to be practical in real-world disaster situations. This work is threefold; It formalizes the specification of PSRPPs, introduces a simple optimization-simulation hybridization necessary for solving PSRPPs, and presents a complete restoration algorithm that utilizes the strengths of mixed integer programming, constraint programming, and large neighborhood search.

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“…Steady state security assessment [44,45,46, 471 is another area where knowledge-based systems are being developed for providing on line assistance. One of the earliest knowledge-based systems for power systems operations was developed in the area of restoration (generation and network control) [48]. Since then, quite a few other systems have been developed for assisting operators in quickly restoring the power systems after an outage [49,50,51].…”

Section: Knowledge-based Agentsmentioning

confidence: 99%

Multiagent organizations for real-time operations

et al. 1992

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The real-time operations of electric power networks are subject to two sets of forces. The first, including deregulation movements and growing environmental concerns, is acting to increase the complexity of operations. The second, including new computer technologies and emerging knowledge-based agents, provides some means for handling additional complexity. This paper argues that organizational changes will have to be made before the second set of forces can be applied to effectively counter the first. To make this argument, the paper presents a framework for discussing organizational structures. Then it reviews the structures of the two generations of computer-based, multi-agent systems that have been developed for operations. It points out that these structures are well-suited to the algorithmic tasks involved in operations but not to the knowledge-based tasks. The paper concludes with some suggestions for research into alternative structures.

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Development of a Knowledge Based System for Power System Restoration

Cited by 259 publications

References 3 publications

Strategic stockpiling of power system supplies for disaster recovery

Strategic stockpiling of power system supplies for disaster recovery

Strategic Planning for Power System Restoration

Multiagent organizations for real-time operations

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