On Distributed Balancing of Wind Power Forecast Deviations in Competitive Power Systems

摘要: Wind power generation does, on the one hand, contribute to a less polluting and more sustainable electric mix. On other uncertainty variability of output do challenge operation system: hourly variations in wind are hardly predictable precise way. To decrease need for balancing power, it might be beneficial from overall system-perspective subject generating companies stricter incentives/rules.The way market is designed has become crucial exploit existing flexibility system increase efficiency its operation: inappropriate designs can counteract all technical achievements. The work conducted this thesis embedded project integration electricity design following aim develop simulation tool analyse consequences changes specific rules.This analyses forecast errors Swedish explores question whether internal ex-ante self-balancing efficiently reduce power. Applying self-balancing, every company re-schedules own plants order balance commitments towards actors with newest production forecast. This done shortly before hour delivery.To assess value possible trading scheduling decisions modelled based hydro-thermal portfolio within framework Nordic design. model sequence mixed-integer linear optimisation problems clearing different sub-markets. Both data have an time resolution. In case study, applied simplified test-system. real-time by transmission operator, total variable cost system, as well extent which re-scheduled their then used indicators evaluate self-balancing.