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Control reconfiguration

About: Control reconfiguration is a research topic. Over the lifetime, 22423 publications have been published within this topic receiving 334217 citations.


Papers
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Journal ArticleDOI
TL;DR: This paper presents a methodology for the design of an integrated robust fault detection and isolation (FDI) and fault-tolerant control (FTC) architecture for distributed parameter systems modeled by nonlinear parabolic Partial Differential Equations with time-varying uncertain variables, actuator constraints and faults.

76 citations

Journal ArticleDOI
TL;DR: In this paper, the three-phase bus locations and sizes of DG units are determined using sensitivity analysis and nonlinear programming, respectively, and distribution feeders are reconfigured every hour based on the status of time-varying loads, output power from DG units and faults on the network while minimizing the energy loss costs and DG operating costs.
Abstract: Most existing approaches for distribution network reconfiguration assume that the distribution system is (three-phase) balanced and a single-phase equivalent is used. However, distribution feeders are usually unbalanced due to a large number of single-phase loads, nonsymmetrical conductor spacing, and three-phase line topology. This paper builds on our previous work and studies feeder reconfiguration for unbalanced distribution systems with distributed generation (DG). The three-phase bus locations and sizes of DG units are determined using sensitivity analysis and nonlinear programming, respectively, and distribution feeders are reconfigured every hour based on the status of time-varying loads, output power from DG units and faults on the network while minimizing the energy loss costs and DG operating costs. Simulation results show the effectiveness and computational efficiency of the proposed approach.

76 citations

10 Jan 2007
TL;DR: This thesis presents MoCha, a novel coordination framework that makes it possible to coordinate components from the 'outside' (exogenous), and thus, change a distributed system's behavior without having to change its components.
Abstract: In the last years, there has been a growing interest for distributed systems both in computer science and in society. The most popular and biggest distributed system in the world is the Internet. A distributed system is a collection of independent computers that appears to its users as a single coherent system. These computers are connected to each other through a network. On each of these computers there is at least one (software) component that needs to communicate with other components on remote computers to achieve some goal. Components can consist of processes, databases, applications, etc. These components are not only distributed among the several computers of a network but they also run in parallel. Therefore, distributed systems need appropriate theory and infrastructures for the coordination of its concurrently running components. In this thesis we present MoCha, a novel coordination framework. MoCha allows dynamic reconfiguration of connections among the components in a system, a property that is very useful and even crucial in systems where the components themselves are mobile. Furthermore, MoCha provides exogenous coordination. This makes it possible to coordinate components from the 'outside' (exogenous), and thus, change a distributed system's behavior without having to change its components.

76 citations

Journal ArticleDOI
TL;DR: A general theory for modeling and designing fault-tolerant multiprocessor systems in a systematic and efficient manner is presented and the resulting designs are shown to be far superior to those proposed in previous work.

76 citations

Journal ArticleDOI
TL;DR: In this paper, a methodology for the reconfiguration of radial electrical distribution systems based on the bio-inspired meta-heuristic Artificial Immune System to minimize energy losses is presented.

76 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023784
20221,765
2021778
2020958
2019976
20181,060