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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.


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Journal ArticleDOI
TL;DR: Simulation and experimental results are provided to show the feasibility of the proposed control reconfiguration of a photovoltaic microinverter capable of operating in both island mode and grid-connected mode by means of a reconfigurable control scheme.
Abstract: In this paper, a photovoltaic (PV) microinverter capable of operating in both island mode and grid-connected mode by means of a reconfigurable control scheme is proposed. The main advantage of control reconfiguration is that in grid-connected mode, the microinverter works as a current source in phase with the grid voltage, injecting power to the grid. This is the operation mode of most commercial grid-connected PV microinverters. The idea is to provide those microinverters with the additional functionality of working in island mode without changing their control algorithms for grid-connected mode, which were developed and refined over time. It is proposed that in island mode, the microinverter control is reconfigured to work as a voltage source using droop schemes. These schemes consist in implementing P/Q strategies in the inverters, in order to properly share the power delivered to the loads. The aim of the paper is to show that the proposed control reconfiguration is possible without dangerous transients for the microinverter or the loads. Simulation and experimental results on an 180-W PV microinverter are provided to show the feasibility of the proposed control strategy.

109 citations

Journal ArticleDOI
TL;DR: In this article, the adaptive genetic algorithm was used for the multi-objective reconfiguration of radial distribution systems in fuzzy framework using graph theory to avoid tedious mesh check and hence reduce the computational burden.
Abstract: This study presents an efficient method for the multi-objective reconfiguration of radial distribution systems in fuzzy framework using adaptive genetic algorithm. The initial population for genetic algorithm is created using a heuristic approach and the genetic operators are adapted with the help of graph theory to generate feasible individuals. This avoids tedious mesh check and hence reduces the computational burden. The effectiveness of the proposed method is demonstrated on 70-bus test system and 136-bus real distribution system. The simulation results show that the proposed method is efficient and promising for multi-objective reconfiguration of radial distribution systems.

109 citations

Journal ArticleDOI
TL;DR: A simple and efficient two-stage reconfiguration algorithm for minimisation of active power loss in the balanced and unbalanced distribution systems is presented and compared with those reported in the literature.
Abstract: A simple and efficient two-stage reconfiguration algorithm for minimisation of active power loss in the balanced and unbalanced distribution systems is presented. In the first stage, the proposed method begins with all candidate switches closed. It uses current information obtained from a power flow, rather than from an optimal flow pattern used in other approaches to decide the switch to be opened, in a sequential manner. In the second stage, branch exchange operation is explored for further loss reduction. Results for four balanced systems and one unbalanced system have been obtained with the proposed method, and compared with those reported in the literature.

109 citations

Proceedings ArticleDOI
19 Sep 1995
TL;DR: A dynamic instruction set computer (DISC) has been developed to support demand-driven instruction set modification and enhances the functional density of FPGAs by physically relocating instruction modules to available FPGA space.
Abstract: A Dynamic Instruction Set Computer (DISC) has been developed to support demand-driven instruction set mod-ification. Using partial reconfiguration, DISC pages instruction modules in and out of an FPGA as demanded bythe executing program. Instructions occupy FPGA resources only when needed and FPGA resources can be reusedto implement an arbitrary number of performance-enhancing application-specific instructions. DISC further en-hances the functional density of FPGAs by physically relocating instruction modules to available FPGA space. Animage processing application was developed on DISC to demonstrate the advantages of paging application-specificinstruction modules.Keywords: FP GA processor, run-time reconfiguration, relocatable hardware, application-specific processor 1 INTRODUCTION For many digital systems, general purpose processors do not provide sufficient processing power to operateacceptably in real-time environments. Specialized computing resources, such as digital signal processors andapplication-specific processors, are often used to improve available computation. A relatively new approach toimproving the available computing power of embedded systems is to implement application specific circuits withField Programmable Gate Arrays (FPGAs).Although more expensive than custom circuits, FPGAs provide a simplified, low-cost design environment.

108 citations

Proceedings ArticleDOI
19 May 2003
TL;DR: This work first defines a strawman solution based on ideas proposed (but never precisely characterized) in existing work, and then analyzes this solution and achieves a deeper understanding of how the event dispatching information is reconfigured.
Abstract: Distributed content-based publish-subscribe middleware provides the decoupling, flexibility, expressiveness, and scalability required by highly dynamic distributed applications, e.g., mobile ones. Nevertheless, the available systems exploiting a distributed event dispatcher are unable to rearrange dynamically their behavior to adapt to changes in the topology of the dispatching infrastructure. In this work, we first define a strawman solution based on ideas proposed (but never precisely characterized) in existing work. We then analyze this solution and achieve a deeper understanding of how the event dispatching information is reconfigured. Based on this analysis, we modify the strawman approach to reduce its overhead. Simulations show that the reduction is significant (up to 50%), and yet the algorithm is resilient to concurrent reconfigurations.

108 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