Power system restoration, reconfiguration and optimization using Field Programmable Gate Array

doi:10.1109/ICETECT.2011.5760091

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Power system restoration, reconfiguration and optimization using Field Programmable Gate Array

Proceedings Article•DOI•

Power system restoration, reconfiguration and optimization using Field Programmable Gate Array

K. Sathish Kumar¹, T. Jayabarathi¹, S. Prabhakar Karthikeyan¹, I. Jacob Raglend, D.P. Kothari¹ - Show less +1 more•Institutions (1)

VIT University¹

23 Mar 2011-pp 57-62

TL;DR: In this article, the authors proposed a system restoration and reconfiguration process is achieved in 16 bus system and simultaneously load flow analysis is performed before and after the fault and the same is verified in MATLAB.

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Abstract: The aim of our study is the optimization after restoring and reconfigure the faulted area in a distribution network after locating and isolating the faulted block. Restoration involves changing the switch status to maximize the supply to loads that are left unsupplied after fault removal. After system optimization using reconfiguration, Field Programmable Gate Array (FPGA) is used in order to control the switches by generating the pulses for the stable configuration. In the proposed system restoration and reconfiguration process is achieved in 16 bus system and simultaneously load flow analysis is performed before and after the fault and the same is verified in MATLAB. Optimization using Binary Particle Swarm Optimization (BPSO) is done in order to get the most stable configuration for restoration process by minimizing the LBI (load balancing index).

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Proceedings Article•DOI•

Particle swarm optimization

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James Kennedy, Russell C. Eberhart

06 Aug 2002

TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.

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Abstract: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed. Benchmark testing of the paradigm is described, and applications, including nonlinear function optimization and neural network training, are proposed. The relationships between particle swarm optimization and both artificial life and genetic algorithms are described.

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35,104 citations

"Power system restoration, reconfigu..." refers methods in this paper

...The objective of this optimization problem can be expressed by the minimization of the load balancing index (LBI) [9]....
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Journal Article•DOI•

Minimum losses reconfiguration of MV distribution networks through local control of tie-switches

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Antonino Augugliaro¹, Luigi Dusonchet¹, Mariano Giuseppe Ippolito¹, Eleonora Riva Sanseverino¹•Institutions (1)

University of Palermo¹

01 Nov 2002-IEEE Power & Energy Magazine

TL;DR: In this paper, the problem of optimal reconfiguration of radial distribution networks for minimum loss operation is addressed, where the control strategy of the open-closed status of the tie-switches is distributed, since every MV/LV node is provided with local controllers having some measured entities as input.

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Abstract: This paper deals with the problem of optimal reconfiguration of radial distribution networks for minimum loss operation. The proposed control strategy of the open-closed status of the tie-switches is distributed, since every MV/LV node is provided with local controllers having some measured entities as input. It also does not prevent the system from the future implementation of centralized control; instead it may represent the first step toward a complete automation of the distribution system. The proposed strategy is indeed organized in hierarchic levels, the highest of which may be in the future a central control. After introducing the general problem of networks reconfiguration, a review of the state of art on the subject is reported, even though the solution methodologies are usually related to the centralized formulation of the reconfiguration problem. Then, the proposed local control strategy is outlined and a detailed description of its different parts is reported, with special attention to all of the measures for a better performance of the system. Finally, results of a number of simulation runs are reported in order to test the behavior of the proposed local control system in different possible operating conditions.

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80 citations

Journal Article•DOI•

On-line fault detection for bus-based field programmable gate arrays

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N.R. Shnidman¹, William H. Mangione-Smith², Miodrag Potkonjak²•Institutions (2)

Massachusetts Institute of Technology¹, University of California, Los Angeles²

01 Dec 1998-IEEE Transactions on Very Large Scale Integration Systems

TL;DR: A technique for on-line built-in self-testing of bus-based field programmable gate arrays (FPGAs) without using special-purpose hardware, hardware external to the device, and without interrupting system operation is introduced.

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Abstract: We introduce a technique for on-line built-in self-testing (BIST) of bus-based field programmable gate arrays (FPGAs). This system detects deviations from the intended functionality of an FPGA without using special-purpose hardware, hardware external to the device, and without interrupting system operation. Such a system would be useful for mission-critical applications with resource constraints. The system solves these problems through an on-line fault scanning methodology. A device's internal resources are configured to test for faults. Testing scans across an FPGA, checking a section at a time. Simulation on a model FPGA supports the viability and effectiveness of such a system.

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75 citations

"Power system restoration, reconfigu..." refers background in this paper

...[6] Nathan R. Shnidman, William H. Mangione-Smith, Member, IEEE, and Miodrag Potkonjak, “On-line Fault Detection for Bus-Based Field Programmable Gate Arrays”, IEEE Transaction on VLSI System, VOL 6, No.4, December 1998....
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...FPGA (Field Programmable Gate Array) [6] is a type of integrated circuit (IC) containing a matrix of logic cells that can be programmed by a user to act as an arbitrary integrated circuit....
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...V. FPGA FPGA (Field Programmable Gate Array) [6] is a type of integrated circuit (IC) containing a matrix of logic cells that can be programmed by a user to act as an arbitrary integrated circuit....
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...Through this paper an attempt has been made to explain the power system reconfiguration using FPGA (Field Programmable Gate Array) which is used for pulse generation for the switches used in our proposed network....
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...Keywords-Load Balancing Index, Field Programmable Gate Array and Binary Particle Swarm Optimization I. INTRODUCTION In many countries, when the power plant cuts the power supply due to fault, they have to pay the penalty to the consumer which leads to heavy loss....
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Journal Article•DOI•

Artificial neural network approach to network reconfiguration for loss minimization in distribution networks

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M. A. Kashem, G.B. Jasmon, Azah Mohamed¹, Mahmoud Moghavvemi²•Institutions (2)

National University of Malaysia¹, University of Malaya²

01 May 1998-International Journal of Electrical Power & Energy Systems

TL;DR: In this article, an artificial neural network (ANN)-based network reconfiguration method is developed to solve the real power loss in distribution networks, which is an operation in configuration management that determines the switching operations for a minimum loss condition.

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69 citations

Proceedings Article•DOI•

Distribution network reconfiguration for load balancing using binary particle swarm optimization

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Xiaoling Jin¹, Jianguo Zhao¹, Ying Sun¹, Ke-Jun Li¹, Boqin Zhang - Show less +1 more•Institutions (1)

Shandong University¹

21 Nov 2004

TL;DR: Test results based on a sample network have shown that the proposed feeder reconfiguration method can effectively keep load balancing, and the BPSO technique is efficient in searching for the optimal solution.

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Abstract: In this paper, a method based on modified binary particle swarm optimization (BPSO) is proposed for distribution network reconfiguration with the objective of load balancing. A novel model to simplify distribution network is presented. The feeder reconfiguration problem is formulated as a non-linear optimization problem, and BPSO is used to find the optimal solution. According to the characteristics of distribution network, some modifications are done to retain the radial structure and reduce searching requirement. Test results based on a sample network have shown that the proposed feeder reconfiguration method can effectively keep load balancing, and the BPSO technique is efficient in searching for the optimal solution.

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64 citations

"Power system restoration, reconfigu..." refers background or methods in this paper

...In this paper, optimization problem can be been solved using following algorithms [1]:...
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...The system constrains which should be maintained for BPSO are as follows [1]:...
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