Control Strategies for Microgrids Ali Mehrizi-Sani Assistant Professor School of Electrical Engineering and Computer Science Washington State University.

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Presentation transcript:

Control Strategies for Microgrids Ali Mehrizi-Sani Assistant Professor School of Electrical Engineering and Computer Science Washington State University Wuhan University Thursday, November 28, 2013 (Beautiful) Wuhan, China

2 of 43 Outline Current and Envisioned Status of the Power System –Overview of control requirements Proposed Control Strategy –Online set point modulation Results of Evaluation of the Strategy –Offline simulation –Real-time implementation –Fine tuning the parameters of the strategy Applications

3 of 43 Proposed Solution Improving the response by temporarily manipulating the set point

4 of 43 Set Point Modulation Best Strategy –Choose T 1 so that the peak of the response equals the reference –Choose T 2 to be the time of this peak Not Implementable –Faster-than-real-time simulator –Closed-form solution –System parameters t x(t)

5 of 43 Case Study I: Set Point Change System Response DG2 step change from 0.91 pu to 1.09 pu DG1 and DG3 unchanged (40% overshoot) IEEE 34-Bus System Added 3 DG units and a load Operates in grid-connected mode

6 of 43 Case Study III: Load Disconnection System Response Resistive 0.5 pu load change (15% overshoot) IEEE 34-Bus System Added 3 DG units and a load Operates in grid-connected mode

7 of 43 Thank You Control Strategies for Microgrids Ali Mehrizi-Sani

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