[ieee 2007 ieee power engineering society general meeting - tampa, fl, usa (2007.06.24-2007.06.28)]...

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Recloser Allocation for Improved Reliability of DG-Enhanced Distribution Networks Aleksandar Pregelj 1 , Miroslav Begovic 2 , Ajeet Rohatgi 2 1 Baltimore Gas & Electric, 2 Georgia Institute of Technology The radial distribution feeder protection strategy is first presented in the paper without consideration for DG. Then, the addition of DG across the feeder (constrained in terms of power and/or energy capacity) is introduced in the model. If islanded operation of these DG sources is allowed on a feeder subjected to a disturbance, DG may reduce the number of interruptions and/or durations for customers residing within their protection zones, thus increasing the reliability of service. To that end, a procedure for finding optimal positions for DG and protection devices is presented for a feeder equipped with capacity-constrained distributed generators, using a custom- tailored genetic algorithm, and the improvement in reliability is demonstrated on a test feeder. Tuning of the genetic algorithm parameters, and an adaptive algorithm that eliminates the need for parameter tuning are the subject of a separate paper by the same authors. 1-4244-1298-6/07/$25.00 ©2007 IEEE.

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Page 1: [IEEE 2007 IEEE Power Engineering Society General Meeting - Tampa, FL, USA (2007.06.24-2007.06.28)] 2007 IEEE Power Engineering Society General Meeting - Recloser Allocation for Improved

Recloser Allocation for Improved Reliability of DG-Enhanced Distribution Networks Aleksandar Pregelj1, Miroslav Begovic2, Ajeet Rohatgi2 1Baltimore Gas & Electric, 2Georgia Institute of Technology The radial distribution feeder protection strategy is first presented in the paper without consideration for DG. Then, the addition of DG across the feeder (constrained in terms of power and/or energy capacity) is introduced in the model. If islanded operation of these DG sources is allowed on a feeder subjected to a disturbance, DG may reduce the number of interruptions and/or durations for customers residing within their protection zones, thus increasing the reliability of service. To that end, a procedure for finding optimal positions for DG and protection devices is presented for a feeder equipped with capacity-constrained distributed generators, using a custom-tailored genetic algorithm, and the improvement in reliability is demonstrated on a test feeder. Tuning of the genetic algorithm parameters, and an adaptive algorithm that eliminates the need for parameter tuning are the subject of a separate paper by the same authors.

1-4244-1298-6/07/$25.00 ©2007 IEEE.