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Optimal Accommodation of DG

Optimal Accommodation of DG. Dr Gareth Harrison Dr Robin Wallace University of Edinburgh, UK. Overview. Planning need Planning tool outline Example of operation Update and future work Adequacy/cost effectiveness of available tools. Planning Need. Voltage rise major issue in rural areas

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Optimal Accommodation of DG

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  1. Optimal Accommodation of DG Dr Gareth Harrison Dr Robin Wallace University of Edinburgh, UK

  2. Overview • Planning need • Planning tool outline • Example of operation • Update and future work • Adequacy/cost effectiveness of available tools

  3. Planning Need • Voltage rise major issue in rural areas • Mitigation techniques exist • Often expensive • One alternative is to avoid or limit the need for mitigation in the first place • Indicate where capacity is available • Must identify where capacity exists

  4. Planning Tool • Transmission level studies • Distribution level more onerous • Various methods applied (GAs, etc.) • DG placement for min loss/investment costs • Aim here to maximise DG capacity • Optimal power flow • Implemented with PSS/E and bespoke GUI

  5. ‘Reverse Load-ability’ • Standard PV generator models inadequate • Steady state model of DG as negative load • Use load shedding minimisation algorithm to add negative load • maximise power injections • Termed ‘reverse load-ability’

  6. Simple 11 kV Feeder 500 kW DG on feeder 180 kW DG on feeder Low demand profile

  7. Update • Original simplifications removed • fixed taps; lack of traditional generation • Transformer voltage control issue • need to mimic voltage • Applied to much larger system • Consistent and logical results

  8. Extensive Network

  9. Future Work • Project due to end in September 2003 • Other aspects • Economic analysis • Development of capacity expansion strategies • Beyond September 2003 • Adapt approach for fault level constraints

  10. Adequacy of Current Tools • Not aware of commercial software tool • Academic tools address some aspects of need • Recently developed tools address the need • Assessment computationally intensive • Need for re-evaluation with new connections • Move to stochastic standards/planning?

  11. Cost Effectiveness • Costs arise from • setup/integration, input/evaluation, computation and inaccuracy • Tool requirements • Easy to use, fast, accurate and can be integrated effectively • Some current tools likely to meet criteria

  12. Other UoE papers at CIRED • This work is part of a larger ongoing programme at the University of Edinburgh • Papers presented at CIRED • 4.44 - Intelligent generator control • 4.62 - Domestic CHP • 4.63 - Optimal accommodation of DG

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