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On integrating device level schedules into market based control

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Author: Nutma, J.S. · Hoogsteen, G. · Molderink, A. · Wijbrandi, W.E. · Hurink, J.L. · Smit, G.J.M.
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source:2017 IEEE Manchester PowerTech, Powertech 2017. 18 June 2017 through 22 June 2017
Identifier: 782408
ISBN: 9781509042371
Article number: 7980984
Keywords: Demand Side Management · EV · Electric utilities · Energy resources · Bidding strategy · Demand-side · Distributed Energy Resources · Electricity supply · Management methodologies · Market-based control · Peak reductions · Prediction errors · 2016 ICT · MCS - Monitoring & Control Services · TS - Technical Sciences


To deal with challenges introduced by the adaption of distributed energy resources, Demand Side Management methodologies are being developed to ensure the availability and reliability of our electricity supply in the future. The Power-Matcher and TRIANA are two examples of such management methodologies. As the strengths of the approaches complement each other, the two approaches are combined in this research by developing a novel bidding strategy. This strategy is unique in the sense that it incorporates a device specific planning when the device bidding function is determined. Simulations show that the combination is capable of following a planning while performing real-time balancing to deal with prediction errors. It is shown that following a planning mitigates the effect of exploiting flexibility on undesired periods. In the use-case simulations, this results in a peak reduction of around 25%.